Skip to main content
Entropy logoLink to Entropy
. 2025 Sep 21;27(9):988. doi: 10.3390/e27090988

On the Application of a Hybrid Incomplete Exponential Sum to Aperiodic Hamming Correlation of Some Frequency-Hopping Sequences

Peihua Li 1, Hongyu Han 2,*
Editors: Eirik Rosnes, Yauhen Yakimenka
PMCID: PMC12468928  PMID: 41008114

Abstract

Frequency-hopping sequences are essential in frequency-hopping spread spectrum communication systems due to their strong anti-interference capabilities, low probability of interception, and high confidentiality. Existing research has predominantly focused on the periodic Hamming correlation properties of sequences, whereas the aperiodic Hamming correlation performance more accurately reflects the actual system performance. Owing to the complexity of its application scenarios and considerable research challenges, results in this area remain scarce. In this paper, we utilize exponential sums over finite fields to derive an upper bound on a hybrid incomplete exponential sum. Then, based on this upper bound, we derive bounds on the aperiodic Hamming correlation of some frequency-hopping sequence sets constructed by trace functions. Finally, by analyzing the maximum estimation error between the average and actual frequency collision numbers of such sequence sets, the validity of the derived bound is demonstrated.

Keywords: frequency-hopping sequences, aperiodic Hamming correlation, exponential sum, hybrid sum

1. Introduction

Frequency-hopping sequences (FHSs), as the core component of frequency-hopping (FH) communication systems, have been widely adopted in numerous fields such as military communications, global mobile communications, Bluetooth, HomeRF, satellite communications, underwater communications, radar, and microwave technology, due to their superior anti-interference performance and efficient multi-access networking capabilities [1,2,3,4,5]. An FH communication system typically supports multiple FH networks, each assigned an FHS as its address code. Due to differences in the start times of different networks and variations in signal transmission delays, ensuring mutual non-interference among different FHSs is challenging [6]. When two or more transmitters use the same carrier frequency to transmit signals simultaneously, their carrier frequencies might hop onto the same frequency slot, causing co-frequency collision interference. Such interference directly induces bit errors in the demodulated output at the receiver, severely degrading the quality of communication [7]. The degree of frequency coincidence between FHSs can be quantitatively characterized by the Hamming correlation function [8]. Therefore, designing FHSs with good performance has always been one of the important research topics in the study of FH communication systems.

In FH communication systems, the periodic Hamming correlation properties of FHSs determine the number of users that the system can accommodate and the error rate [9]. Over the past five decades, the academic community has established a series of classical theoretical bounds on the periodic Hamming correlation function of FHSs. Among these, the Lempel–Greenberger bound, the Peng–Fan bound, the Eun–Jin–Hong–Song bound, the Zhou–Tang–Niu–Udaya bound, and the Peng–Fan–Lee bound stand as the most representative achievements (see Refs. [10,11,12,13,14]). However, compared to the periodic Hamming correlation, the aperiodic Hamming correlation properties of FHSs can affect the performance of synchronization and sequence acquisition at a receiver [9]. From the perspective of practical applications, the aperiodic Hamming correlation function of FHSs more accurately reflects system performance. Therefore, research on the aperiodic Hamming correlation properties of FHSs possesses significant theoretical importance along with wide practical application value. However, due to the complexity of application scenarios involving aperiodic Hamming correlation, research in this domain is particularly challenging. Recently, reports on theoretical bounds on the aperiodic Hamming correlation for FHSs remain scarce (see Refs. [15,16,17,18,19]). However, to the best of our knowledge, these bounds are directly dependent on those derived from periodic Hamming correlation properties. In some cases, these derived bounds may even yield negative values, thereby rendering them meaningless for any practical analysis.

Furthermore, the hybrid exponential sum over finite fields has attracted significant attention due to its deep connections with coding theory, cryptography, and sequence design. As a core tool for investigating the number of solutions to equations over finite fields, it enables solutions to many problems intractable by other methods. However, accurately determining a hybrid exponential sum remains a highly challenging task, and current research efforts are generally limited to deriving approximate estimates [20]. Despite this, these estimates for hybrid exponential sums have been widely applied in several fields: for instance, in deriving bounds on the aperiodic inner product correlation of direct spreading sequences, establishing bounds on the performance of sequences over Galois rings, and aiding in the construction of constrained error-correcting codes and Boolean functions with high nonlinearity (see [21,22,23,24,25], and the references therein).

The purpose of this paper is twofold. Firstly, we employ exponential sums over finite fields to derive an upper bound on a hybrid incomplete exponential sum. Secondly, this upper bound is applied to derive bounds on the aperiodic Hamming correlation of some FHSs constructed via trace functions in [13]. The rest of this paper is organized as follows. In Section 2, we will provide the necessary notations and preliminary knowledge required for the following sections. In Section 3, we will present an upper bound on a hybrid incomplete exponential sum. In Section 4, we will derive and discuss the bounds on the aperiodic Hamming correlation of some FHSs. Finally, concluding remarks are given in Section 5.

2. Preliminaries

2.1. Characters of Finite Fields and Gaussian Sums

In this section, we will provide a brief introduction to the finite field theory relevant to this paper. Further details can be found in reference [26].

Let p be a prime number, q be a power of p, and n be a positive integer. For any x∈Fqn, the trace function from the finite field Fqn to its subfield Fq is defined by

Trqn/q(x)=x+xq+⋯+xqn−1.

Let ζp=e2π−1p be the p-th root of unity. For any a∈Fqn, a nonzero function χa:Fqn→C is defined by

χa(x)=ζpTrqn/p(ax),∀x∈Fqn

and is called the additive character of Fqn, where C denotes the set of complex numbers. In particular, when a=0, χ0 is referred to as the trivial additive character of Fqn. For any x∈Fqn, we have χ0(x)=1.

Let α be a primitive element of Fqn. For each j=0,1,⋯,qn−2, a nonzero function ψj:Fqn*→C is defined by

ψj(αk)=ζqn−1jk,0≤k≤qn−2

and is called a multiplicative character of Fqn, where Fqn*=Fqn∖{0} denotes the cyclic group of order qn−1 and its generators are called primitive elements of Fqn. In particular, when j=0, ψ0 is referred to as the trivial multiplicative character of Fqn. For any x∈Fqn*, we have ψ0(x)=1.

For any character η of Fqn, the character η¯ defined by η¯(x)=η(x)¯ is called the conjugate character of η, where η(x)¯ denotes the complex conjugate of η(x).

Let χ and ψ be an additive character and a multiplicative character of Fqn, respectively. The Gaussian sum G(ψ,χ) is defined by

G(ψ,χ)=∑x∈Fqn*ψ(x)χ(x).

Note that the Gaussian sum G(ψ,χ) possesses the following properties.

Lemma 1 

([26]). The Gaussian sum G(ψ,χ) satisfies

G(ψ,χ)=qn−1,ψ=ψ0,χ=χ0,−1,ψ=ψ0,χ≠χ0,0,ψ≠ψ0,χ=χ0.

If ψ≠ψ0 and χ≠χ0, then

|G(ψ,χ)|=qn. (1)

Lemma 2 

([26]). Let χ be a non-trivial additive character of Fq and η be a multiplicative character of Fq of order d=gcd(n,q−1), n∈N. For any f,h∈Fq with f≠0, then

∑g∈Fqχ(fgn+h)=χ(h)∑t=1d−1η¯t(f)G(ηt,χ). (2)

In addition, let α be a primitive element of Fqn, and let e be a positive integer such that e|(qn−1). For each i with 0≤i≤e−1, define

Ci(e,qn)=αi〈αe〉={αet+i|0≤t<(qn−1)/e}.

The cosets Ci(e,qn) are called the cyclotomic classes of order e in Fqn. If ci∈Ci(e,qn), then the set {c0,c1,⋯,ce−1} is called a complete set of representatives for the cyclotomic classes of order e in Fqn. Obviously,

ciC0(e,qn)=Ci(e,qn),

and

⋃i=0e−1ciC0(e,qn)=Fqn*.

Lemma 3 

([27]). Let e be a positive integer such that e|(q−1) and gcd(e,n)=1. For any 0≤i≤e−1, there exists λi∈Fq* such that {λ0,λ1,⋯,λe−1} is a complete set of representatives for the cyclotomic classes of order e in Fqn.

2.2. Aperiodic Hamming Correlation Function of FHSs

Let F={f0,f1,⋯,fq−1} be an alphabet of q available frequencies, and S be the set of all FHSs of length N over F. For any two frequencies fi,fj∈F, let

hfi,fj=1,iffi=fj,0,otherwise.

For any two FHSs X=(x0,x1,⋯,xN−1) and Y=(y0,y1,⋯,yN−1) in S, their aperiodic Hamming correlation function at a shift τ is defined by

AX,Y(τ)=∑i=0N−1−τh[xi,yi+τ],0≤τ<N,

where the subscript i+τ is computed modulo N. In particular, when X=Y, AX,X(τ) is referred to as the aperiodic Hamming auto-correlation, denoted as AX(τ). When X≠Y, AX,Y(τ) is referred to as the aperiodic Hamming cross-correlation. Obviously, the smaller the value of AX,Y(τ), the fewer the number of collisions between the two FHSs and, thus, the lower the mutual interference.

2.3. Relevant Notations

For convenience, we hereby define some notations that will be used throughout the sequel.

  • q is a power of a prime p;

  • k,n are two positive integers with 1≤k≤n;

  • e is a positive integer with e|(q−1) and gcd(e,n)=1;

  • ζp=e2π−1p is the p-th root of unity;

  • Fq is the finite field of order q;

  • α is a primitive element of the finite field Fqn, and β=αe;

  • T=qn−1q−1, N=qn−1e, d=q−1e, and L=qn−1;

  • Identifying Fqn with the n-dimensional Fq-vector space Fqn, each element in Fqn can be viewed as a vector over Fq;

  • 0k=(0,0,⋯,0)∈Fqk is a zero vector of length k.

3. An Upper Bound on a Hybrid Incomplete Exponential Sum

In this section, we will derive an upper bound on a hybrid incomplete exponential sum over finite fields, which constitutes a crucial step in determining the aperiodic Hamming correlation properties of FHSs constructed from trace functions.

Theorem 1. 

Let ef(1≤f≤N−1) be N−1 complex numbers satisfying ∑f=1T−1|efd|≤M, where M>0, N=qn−1e, L=qn−1, T=qn−1q−1, and d=q−1e. Then, for any non-trivial additive character χ of Fqn, we have

∑y∈C0(e,qn)∑f=1N−1ef∑x0∈Fq*χ(x0y)ψf(y)⋯∑f=1N−1ef∑xk−1∈Fq*χ(xk−1y)ψf(y)≤qn(Md)k. (3)

Proof of Theorem 1. 

Suppose that G^={ψf:0≤f≤L−1} is the group consisting of all multiplicative characters of Fqn, and C^={ψ0,ψN,⋯,ψ(e−1)N} is a subset of G^. Clearly, C^ is a subgroup of G^ of order e, and each multiplicative character η∈C^ annihilates C0(e,qn), i.e., η(y)=1 for all y∈C0(e,qn). Then, we have

∑η∈C^η(y)=e,ify∈C0(e,qn),0,otherwise,

and

∑y∈C0(e,qn)∑x0∈Fq*χ(x0y)ψf(y)⋯∑xk−1∈Fq*χ(xk−1y)ψf(y)=e−k∑y∈Fqn*∑x0∈Fq*χ(x0y)ψf(y)∑η∈C^η(y)⋯∑xk−1∈Fq*χ(xk−1y)ψf(y)∑η∈C^η(y)=e−k∑y∈Fqn*∑x0∈Fq*∑η∈C^χ(x0y)ψf(y)η(y)⋯∑xk−1∈Fq*∑η∈C^χ(xk−1y)ψf(y)η(y)=e−k∑y∈Fqn*∑x0∈Fq*∑η∈C^χ(x0y)ψf(y)η(y)ψf(x0)η(x0)ψ¯f(x0)η¯(x0)⋯∑xk−1∈Fq*∑η∈C^χ(xk−1y)ψf(y)η(y)ψf(xk−1)η(xk−1)ψ¯f(xk−1)η¯(xk−1)=e−k∑y∈Fqn*∑x0∈Fq*∑η∈C^χ(x0y)ψf(x0y)η(x0y)ψ¯f(x0)η¯(x0)⋯∑xk−1∈Fq*∑η∈C^χ(xk−1y)ψf(xk−1y)η(xk−1y)ψ¯f(xk−1)η¯(xk−1).

Let κ(xy)=ψf(xy)η(xy). For any 0≤j≤e−1 and 1≤f≤N−1, since f+jN≠0(modL) and η∈C^, it follows that ψfη≠ψ0. Thus, κ is a non-trivial multiplicative character of Fqn. For any x∈Fq*, according to Equation (1) in Lemma 1, we have

∑y∈Fqn*χ(xy)κ(xy)=∑y∈Fqn*χ(y)κ(y)=qn.

It then follows that

∑y∈C0(e,qn)∑f=1N−1ef∑x0∈Fq*χ(x0y)ψf(y)⋯∑f=1N−1ef∑xk−1∈Fq*χ(xk−1y)ψf(y)=e−k∑y∈Fqn*χ(y)κ(y)⋯χ(y)κ(y)∑f=1N−1ef∑x0∈Fq*∑η∈C^ψ¯f(x0)η¯(x0)⋯∑f=1N−1ef∑xk−1∈Fq*∑η∈C^ψ¯f(xk−1)η¯(xk−1)=e−k∑y∈Fqn*χk(y)κk(y)∑f=1N−1ef∑x0∈Fq*∑η∈C^ψ¯f(x0)η¯(x0)⋯∑f=1N−1ef∑xk−1∈Fq*∑η∈C^ψ¯f(xk−1)η¯(xk−1)≤e−kqn∑f=1N−1ef∑x0∈Fq*∑η∈C^η¯(x0)ψ¯f(x0)⋯∑f=1N−1ef∑xk−1∈Fq*∑η∈C^η¯(xk−1)ψ¯f(xk−1)=e−kqn∑f=1N−1ef∑t=0q−2∑j=0e−1ψ¯jN(αTt)ψ¯f(αTt)⋯∑f=1N−1ef∑t=0q−2∑j=0e−1ψ¯jN(αTt)ψ¯f(αTt)=qne−1∑f=1N−1ef∑t=0q−2ζL−fTt∑j=0e−1ζL−TNjtk=qne−1∑f=1N−1ef∑t=0q−2ζq−1−ft∑j=0e−1ζe−Tjtk.

We now consider the following two cases.

Case 1: If ζe−Tt=1 (i.e., t∈{0,e,2e,3e,⋯}), we have

∑j=0e−1ζe−Tjt=e.

Case 2: If ζe−Tt≠1, we have

∑j=0e−1ζe−Tjt=1−ζe−Tet1−ζe−Tt=0.

Based on the above discussion, we arrive at the following conclusion.

∑y∈C0(e,qn)∑f=1N−1ef∑x0∈Fqχ(x0y)ψf(y)⋯∑f=1N−1ef∑xk−1∈Fqχ(xk−1y)ψf(y)≤qne−1∑f=1N−1ef∑t=0q−2ζq−1−ft∑j=0e−1ζe−Tjtk=qne·e−1∑f=1N−1ef∑eu=0q−2ζq−1−feuk=qne·e−1∑f=1N−1ef∑u=0d−1ζd−fuk=qnd∑f=1T−1efdk≤qn(Md)k.

This completes the proof. □

4. Bounds on the Aperiodic Hamming Correlation of Some FHSs Constructed via Trace Functions

In this section, we will apply the above bound on the hybrid incomplete exponential sum to derive the bounds on the aperiodic Hamming correlation of some FHSs presented in [13].

Construction 1 

([13]). For each nonzero vector b=(b0,b1,⋯,bk−1)∈Fqnk, define an FHS ub={ub(t)}t=0N−1 of length N=qn−1e over Fqnk as

ub(t)=(Trqn/q(b0βt),Trqn/q(b1βt),⋯,Trqn/q(bk−1βt)),

where 0≤t<N. And for any 0≤i≤e−1, let bi=αib=(αib0,αib1,⋯,αibk−1). Define the FHS set as Ub={ubi:0≤i≤e−1}, where

ubi=(ubi(0),ubi(1),⋯,ubi(N−1)),

and

ubi(t)=(Trqn/q(αib0βt),Trqn/q(αib1βt),⋯,Trqn/q(αibk−1βt)).

Before calculating the aperiodic Hamming correlation of the FHS set in Construction 1, we first present the following lemmas.

Lemma 4 

([20]). For any integer τ≥0, define

δτ(t)=1,if0≤t≤N−1−τ,0,otherwise, (4)

and

στ(k)=∑t=0N−1δτ(t)ζNkt,0≤k≤N−1. (5)

By applying the inverse discrete Fourier transform, we have

δτ(t)=N−1∑k=0N−1σ¯τ(k)ζNkt,0≤t≤N−1. (6)

Lemma 5 

([20]). For any integer τ≥0, we have

∑k=1T−1|στ(kd)|≤∑k=1T−11sinkπT<2Tπln4Tπ. (7)

Lemma 6. 

Let (x0,x1,⋯,xk−1)∈Fqk; for any non-trivial additive character χ of Fqn, we have

∑y∈C0(e,qn)∑x0∈Fqχ(x0y)∑x1∈Fqχ(x1y)⋯∑xk−1∈Fqχ(xk−1y)=qn−qke. (8)

Proof of Lemma 6. 

Assume that η is a multiplicative character of order e of Fqn. According to Lemma 2, we have

∑g∈Fqnχ(∑s=0k−1xsge)=∑t=1e−1η¯t(∑s=0k−1xs)G(ηt,χ).

Since χ is a non-trivial additive character of Fqn and N=qn−1e; it follows that

∑y∈C0(e,qn)∑x0∈Fqχ(x0y)∑x1∈Fqχ(x1y)⋯∑xk−1∈Fqχ(xk−1y)=N+∑(x0,x1,⋯,xk−1)∈Fqk∖{0k}e−1∑g∈Fqnχ(∑s=0k−1xsge)−1=N+∑(x0,x1,⋯,xk−1)∈Fqk∖{0k}e−1∑t=1e−1η¯t(∑s=0k−1xs)G(ηt,χ)−1=N−qk−1e+e−1∑t=1e−1G(ηt,χ)∑(x0,x1,⋯,xk−1)∈Fqk∖{0k}η¯t∑s=0k−1asxs.

In addition, since T=qn−1q−1 and e|(q−1), we have T≡n(mode). Given that gcd(e,n)=1, we conclude that gcd(T,e)=1. Thus, for any t∈{1,2,⋯,e−1}, ηt is a non-trivial multiplicative character of Fq. Therefore, there exists x∈Fq* such that η¯t(x)≠1, it follows that

η¯t(x)∑(x0,x1,⋯,xk−1)∈Fqk∖{0k}η¯t(∑s=0k−1xs)=∑(x0,x1,⋯,xk−1)∈Fqk∖{0k}η¯t(∑s=0k−1xxs)=∑(x0,x1,⋯,xk−1)∈Fqk∖{0k}η¯t(∑s=0k−1xs).

Because (x0,x1,⋯,xk−1) runs over Fqk∖{0k}, the vector (xx0,xx1,⋯,xxk−1) also runs over Fqk∖{0k} for any x∈Fq*. Thus,

(η¯t(x)−1)∑(x0,x1,⋯,xk−1)∈Fqk∖{0k}η¯t(∑s=0k−1xs)=0.

Since η¯t(x)≠1 for some x∈Fq*, we obtain

∑(x0,x1,⋯,xk−1)∈Fqk∖{0k}η¯t(∑s=0k−1xs)=0.

Hence, we have

∑y∈C0(e,qn)∑x0∈Fqχ(x0y)∑x1∈Fqχ(x1y)⋯∑xk−1∈Fqχ(xk−1y)=N−qk−1e+e−1∑t=1e−1G(ηt,χ)∑(x0,x1,⋯,xk−1)∈Fqk∖{0k}η¯t(∑s=0k−1xs)=N−qk−1e+e−1∑t=1e−1G(ηt,χ)·0=N−qk−1e=qn−1e−qk−1e=qn−qke.

This completes the proof. □

Below, we will derive the bounds on the aperiodic Hamming correlation of some FHSs in Construction 1.

Theorem 2. 

Let ubi and ubj(0≤i,j≤e−1) be any two FHSs in the sequence set in Construction 1. Then, for i≠j or τ≠0, their non-trivial aperiodic Hamming correlation satisfies

Aubi,ubj(τ)−N−τNkqn−k−1e<qn2qπln4Tπk. (9)

Proof of Theorem 2. 

According to the definition of the aperiodic Hamming correlation, the aperiodic Hamming correlation between FHSs ubi and ubj at a shift 0≤τ≤N−1 is given by

Aubi,ubj(τ)=|0≤t≤N−1−τ:ubi(t)=ubj(t+τ)|=|0≤t≤N−1−τ:ubi(t)−ubj(t+τ)=0k|=|0≤t≤N−1−τ,0≤s≤k−1:Trqn/q(αibsβt)=Trqn/q(αjbsβt+τ)|=|0≤t≤N−1−τ,0≤s≤k−1:Trqn/q(βtbs(αi−αjβτ))=0|=|0≤t≤N−1−τ,0≤s≤k−1:Trqn/q(absαet)=0|.

Note that the equation a=αi−αjβτ=0 holds only in the trivial case where i=j and τ=0. When i≠j and τ=0, it is clear that Aubi,ubj(τ)=0. Now we will discuss the cases where i≠j or τ≠0. Let y=αet≠0; by the definition of the additive character and Lemma 4, we obtain

Aubi,ubj(τ)=q−k∑t=0N−1−τ∑(x0,x1,⋯,xk−1)∈FqkζpTrq/p(∑s=0k−1xsTrqn/q(absαet))=q−k∑t=0N−1−τ∑(x0,x1,⋯,xk−1)∈Fqkχ(∑s=0k−1xsabsαet)=q−k∑t=0N−1∑(x0,x1,⋯,xk−1)∈Fqkχ(∑s=0k−1xsabsαet)δτk(t)=(qN)−k∑t=0N−1∑f=0N−1⋯∑f=0N−1︸kitems∑(x0,x1,⋯,xk−1)∈Fqkχ(∑s=0k−1xsabsαet)σ¯τk(f)(ζNft)k=(qN)−k∑y∈C0(e,qn)∑f=0N−1∑x0∈Fqχ(x0ab0y)σ¯τ(f)ζNft⋯∑f=0N−1∑xk−1∈Fqχ(xk−1abk−1y)σ¯τ(f)ζNft.

For any 0≤s≤k−1, let χabs be a non-trivial additive character of Fqn. Below, we proceed to discuss the following three cases.

Case 1: When f=0, by Lemmas 4 and 6, we have

∑y∈C0(e,qn)∑x0∈Fqχ(x0ab0y)σ¯τ(0)ζN0⋯∑xk−1∈Fqχ(xk−1abk−1y)σ¯τ(0)ζN0=(N−τ)k∑y∈C0(e,qn)∑x0∈Fqχab0(x0y)⋯∑xk−1∈Fqχabk−1(xk−1y)=(N−τ)kqn−qke.

Case 2: When f>0 and (x0,x1,⋯,xk−1)=0k, we have

∑y∈C0(e,qn)∑f=1N−1χ(0)σ¯τ(f)ζNft⋯∑f=1N−1χ(0)σ¯τ(f)ζNft=∑t=0N−1∑f=1N−1σ¯τ(f)ζNft⋯∑f=1N−1σ¯τ(f)ζNft=∑f=1N−1σ¯τ(f)⋯∑f=1N−1σ¯τ(f)∑t=0N−1(ζNft)k=∑f=1N−1σ¯τ(f)⋯∑f=1N−1σ¯τ(f)1−ζNNfk1−ζNfk=∑f=1N−1σ¯τ(f)⋯∑f=1N−1σ¯τ(f)·0=0.

Case 3: When f>0 and (x0,x1,⋯,xk−1)≠0k, by the definition of the multiplicative character, Theorem 1, and Lemma 5, we have

∑y∈C0(e,qn)∑f=1N−1∑x0∈Fq*χ(x0ab0y)σ¯τ(f)ζNft⋯∑f=1N−1∑xk−1∈Fq*χ(xk−1abk−1y)σ¯τ(f)ζNft=∑y∈C0(e,qn)∑f=1N−1∑x0∈Fq*χab0(x0y)σ¯τ(f)ψf(y)⋯∑f=1N−1∑xk−1∈Fq*χabk−1(xk−1y)σ¯τ(f)ψf(y)=∑y∈C0(e,qn)∑f=1N−1σ¯τ(f)∑x0∈Fq*χab0(x0y)ψf(y)⋯∑f=1N−1σ¯τ(f)∑xk−1∈Fq*χabk−1(xk−1y)ψf(y)<qn(q−1)e2Tπln4Tπk.

In summary, we conclude that

1(qN)k(N−τ)kqn−qke−qn2T(q−1)eπln4Tπk<Aubi,ubj(τ)<1(qN)k(N−τ)kqn−qke+qn2T(q−1)eπln4Tπk.

Simplifying the above formula yields

N−τNkqn−k−1e−qn2qπln4Tπk<Aubi,ubj(τ)<N−τNkqn−k−1e+qn2qπln4Tπk.

Clearly, it can be rewritten as

Aubi,ubj(τ)−N−τNkqn−k−1e<qn2qπln4Tπk,

where N=qn−1e and T=qn−1q−1. This completes the proof. □

Remark 1. 

When k=1, the bound on the aperiodic Hamming correlation of FHSs in [20] can be viewed as a special case of the above bound.

5. Discussion on the Bound

In this section, we will discuss the rationality of the bound on the aperiodic Hamming correlation of some FHSs as stated in Theorem 2. Before proceeding with the discussion, we first present the following lemma.

Lemma 7 

([20,27]). If a positive integer e satisfies e|(q−1) and gcd(e,n)=1, then the system of linear equations

Trqn/q(ab0x)=0,Trqn/q(ab1x)=0,⋮Trqn/q(abk−1x)=0,

has exactly qn−k−1e solutions in any coset Ci(e,qn), where 0≤i≤e−1.

According to Lemma 7, when i≠j or τ≠0, the periodic Hamming correlation between any two FHSs ubi and ubj in the sequence set Ub in Construction 1 is qn−k−1e, which represents the total number of frequency collisions between two sequences ubi and ubj over the full period at shifts 1≤τ≤N−1. Therefore, the average number of frequency collisions between ubi and ubj over a correlation window of length N−τ is given by

N−τNkqn−k−1e. (10)

This average number of frequency collisions can be regarded as an estimate of the actual number of frequency collisions between sequences ubi and ubj over a correlation window of length N−τ. The maximum estimation error is given by

Δ=maxAubi,ubj(τ)−N−τNkqn−k−1e:i≠jorτ≠0.

According to Equation (9), the upper bound of Δ is

Y=qn2qπln4Tπk.

In the following example, we compute the actual maximum estimation error and the estimation error given by the theoretical bound, in order to illustrate that the average number of frequency collisions given by Equation (10) may be a useful estimate for the aperiodic Hamming correlation of some FHSs.

Example 1. 

Let n=3, e=2, k=1, q=11, and b=b0=1. Let α be a generator of F113 defined by α3+2α+9=0. Then, the FHS set Ub in Construction 1 is composed of the following two sequences of length 665:

3,7,8,7,1,0,2,7,8,3,6,7,4,2,4,3,2,7,9,10,7,1,8,3,⋯0,6,2,1,1,0,0,4,6,4,9,5,4,0,4,0,6,3,8,2,5,4,5,6,⋯

On the one hand, by calculating the actual maximum estimation error, we obtain that Δ≈3.99, which was obtained through computer experiments. On the other hand, by substituting the parameters into Υ, we have

Y=qn2qπln4Tπk=113211πln4(113−1)10π≈10.84.

It can be verified that the actual maximum estimation error is smaller than the estimation error given by the bound under these parameters.

Now, we compare the values of Δ and Y in Table 1, where n=3,e=2,k=1, and q≤19. To further intuitively demonstrate the difference between the actual and theoretical errors, Figure 1 presents a visualization of the variations of Δ and Y under the aforementioned parameters. It can be observed that for small values of n, the actual maximum estimation error is much smaller than the estimation error given by the theoretical bound. It implies that the average number of frequency collisions provided by Equation (10) may be a useful estimate for the aperiodic Hamming correlation of some FHSs based on the trace functions defined before.

Table 1.

Comparison of Δ and Y for n=3,e=2,k=1, and q≤19.

q N Δ Y
3 13 1.23 3.09
5 62 1.97 5.23
7 171 2.65 7.22
32 364 3.32 9.08
11 665 3.99 10.84
13 1098 4.66 12.51
17 2456 5.33 15.67
19 3429 6.00 17.16

Figure 1.

Figure 1

The difference between Δ and Y for n=3,e=2,k=1, and q≤19.

6. Conclusions

In this paper, we derive an upper bound for a hybrid incomplete exponential sum over finite fields. By applying the above bound, we derive a bound on the aperiodic Hamming correlation of some FHSs from trace functions and explicitly point out that the bound given in [20] is a special case of our result. Finally, we analyze the maximum estimation error between the average frequency collision number and the actual frequency collision number for these FHSs and illustrate the rationality of the bound on the aperiodic Hamming correlation derived herein. Determining the bounds on the aperiodic Hamming correlation of other known FHSs is both intriguing and challenging. Furthermore, the development of novel approaches to achieve tighter bounds remains an open and demanding problem. We cordially invite researchers to address these issues.

Author Contributions

Conceptualization, P.L.; methodology, P.L. and H.H.; software, P.L.; validation, P.L. and H.H.; formal analysis, P.L.; investigation, P.L.; resources, H.H.; data curation, P.L.; writing—original draft preparation, P.L.; writing—review and editing, P.L. and H.H.; visualization, P.L.; supervision, H.H.; project administration, P.L.; funding acquisition, H.H. All authors have read and agreed to the published version of the manuscript.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Data are contained within the article.

Conflicts of Interest

The authors declare no conflicts of interest.

Funding Statement

This research was funded by Sichuan Science and Technology Department Project (Grant No. 2024NSFSC1437).

Footnotes

Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

References

  • 1.Golomb S.W., Gong G. Signal Design for Good Correlation: For Wireless Communication, Cryptography and Radar. Cambridge University Press; New York, NY, USA: 2005. [Google Scholar]
  • 2.Souheyl T., Jean-Marie B., Gilbert L. Optimizing hopping sequences for reducing interference in frequency hopping cellular networks. Eng. Optim. 2010;42:33–44. doi: 10.1080/03052150902971690. [DOI] [Google Scholar]
  • 3.Chi T., Chen M. A frequency hopping method for spatial RFID/WiFi/Bluetooth scheduling in agricultural IoT. Wirel. Netw. 2019;25:805–817. doi: 10.1007/s11276-017-1593-z. [DOI] [Google Scholar]
  • 4.Zeng Q., Li H.S., Peng D.Y. Frequency-hopping based communication network with multi-level QoSs in smart grid: Code design and performance analysis. IEEE Trans. Smart Grid. 2012;3:1841–1852. doi: 10.1109/TSG.2012.2214067. [DOI] [Google Scholar]
  • 5.Long X.W., Wu W.H., Li K., Wang J., Wu S.L. Multi-timeslot wide-gap frequency-hopping RFPA signal and its sidelobe suppression. IEEE Trans. Aerosp. Electron. Syst. 2023;59:634–649. doi: 10.1109/TAES.2022.3188594. [DOI] [Google Scholar]
  • 6.Simon M.K., Omura J.K., Scholtz R.A., Levitt B.K. Spread Spectrum Communications Handbook. McGraw-Hill; New York, NY, USA: 2002. [Google Scholar]
  • 7.Ge G., Miao Y., Yao Z.H. Optimal frequency hopping sequences: Auto- and cross-correlation properties. IEEE Trans. Inf. Theory. 2009;55:867–879. doi: 10.1109/TIT.2008.2009856. [DOI] [Google Scholar]
  • 8.Ding C., Moisio M.J., Yuan J. Algebraic constructions of optimal frequency-hopping sequences. IEEE Trans. Inf. Theory. 2007;53:2606–2610. doi: 10.1109/TIT.2007.899545. [DOI] [Google Scholar]
  • 9.Helleseth T., Kumar P.V. Sequences with Low Correlation. In: Pless V., Huffman C., editors. Handbook of Coding Theory. Elsevier; Amsterdam, The Netherlands: 1998. [Google Scholar]
  • 10.Lempel A., Greenberger H. Families of sequences with optimal Hamming correlation properties. IEEE Trans. Inf. Theory. 1974;20:90–94. doi: 10.1109/TIT.1974.1055169. [DOI] [Google Scholar]
  • 11.Peng D.Y., Fan P.Z. Lower bounds on the Hamming auto- and cross correlations of frequency-hopping sequences. IEEE Trans. Inf. Theory. 2004;50:2149–2154. doi: 10.1109/TIT.2004.833362. [DOI] [Google Scholar]
  • 12.Eun Y.C., Jin S.Y., Hong Y.P., Song H.Y. Frequency hopping sequences with optimal partial autocorrelation properties. IEEE Trans. Inf. Theory. 2004;50:2438–2442. doi: 10.1109/TIT.2004.834792. [DOI] [Google Scholar]
  • 13.Zhou Z.C., Tang X.H., Niu X.H., Parampalli U. New classes of frequency-hopping sequences with optimal partial correlation. IEEE Trans. Inf. Theory. 2012;58:453–458. doi: 10.1109/TIT.2011.2167126. [DOI] [Google Scholar]
  • 14.Peng D.Y., Fan P.Z., Lee M.H. Lower bounds on the periodic Hamming correlations of frequency hopping sequences with low hit zone. Sci. China Ser. F Inf. Sci. 2006;49:208–218. doi: 10.1007/s11432-006-0208-6. [DOI] [Google Scholar]
  • 15.Liu X., Hong S.F., Zeng Q., Zhou L. NHZ frequency hopping sequence sets under aperiodic Hamming correlation: Tighter bound and optimal constructions. Cryptogr. Commun. 2022;14:347–356. doi: 10.1007/s12095-021-00527-6. [DOI] [Google Scholar]
  • 16.Liu X. Low-hit-zone frequency hopping sequence sets under aperiodic Hamming correlation. Cryptogr. Commun. 2024;16:647. doi: 10.1007/s12095-024-00714-1. [DOI] [Google Scholar]
  • 17.Tian X.Y., Han H.Y., Zhou L., Wu H.Z. New bounds for aperiodic wide-gap frequency hopping sequences. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 2025;108:165–168. doi: 10.1587/transfun.2024EAL2018. [DOI] [Google Scholar]
  • 18.Yang S.F., Jiang K.C., Xu Z., Bai Y.B. A tighter lower bound on aperiodic Hamming correlation of frequency hopping sequences; Proceedings of the 2024 IEEE 24th International Conference on Communication Technology (ICCT); Chengdu, China. 18–20 October 2024; pp. 1874–1878. [Google Scholar]
  • 19.Yang S.F., Jiang K.C., Xu Z., Bai Y.B. New lower bounds on aperiodic Hamming correlation of frequency hopping sequences; Proceedings of the 2024 IEEE 16th International Conference on Advanced Infocomm Technology (ICAIT); Enshi, China. 16–19 August 2024; pp. 160–165. [Google Scholar]
  • 20.Zhou Z.C., Tang X.H., Yang Y., Parampalli U. A hybrid incomplete exponential sum with application to aperiodic Hamming correlation of some frequency-hopping sequences. IEEE Trans. Inf. Theory. 2012;58:6610–6615. doi: 10.1109/TIT.2012.2206109. [DOI] [Google Scholar]
  • 21.Barg A. Incomplete sums, DC-constrained codes, and that maintain synchronization. Des. Codes Cryptogr. 1993;3:105–116. doi: 10.1007/BF01388409. [DOI] [Google Scholar]
  • 22.Tang D., Carlet C., Tang X.H. Highly nonlinear boolean functions with optimal algebraic immunity and good behavior against fast algebraic attacks. IEEE Trans. Inf. Theory. 2013;59:653–664. doi: 10.1109/TIT.2012.2217476. [DOI] [Google Scholar]
  • 23.Lahtonen J. On the odd and the aperiodic correlation properties of the Kasami sequences. IEEE Trans. Inf. Theory. 1995;41:1506–1508. doi: 10.1109/18.412698. [DOI] [Google Scholar]
  • 24.Sarwate D. An upper bound on the aperiodic autocorrelation function for a maximal-length sequence. IEEE Trans. Inf. Theory. 1984;30:685–687. doi: 10.1109/TIT.1984.1056930. [DOI] [Google Scholar]
  • 25.Shanbhag A.G., Kumar P.V., Helleseth T. Upper bound for a hybrid sum over Galois rings with applications to aperiodic correlation of some-ary sequences. IEEE Trans. Inf. Theory. 1996;42:250–254. doi: 10.1109/18.481796. [DOI] [Google Scholar]
  • 26.Rudolf L., Harald N. Finite Fields. 2nd ed. Cambridge University Press; New York, NY, USA: 1996. [Google Scholar]
  • 27.Zhou Z.C., Tang X.H., Peng D.Y., Parampalli U. New constructions for optimal sets of frequency-hopping sequences. IEEE Trans. Inf. Theory. 2011;57:3831–3840. doi: 10.1109/TIT.2011.2137290. [DOI] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

Data are contained within the article.


Articles from Entropy are provided here courtesy of Multidisciplinary Digital Publishing Institute (MDPI)

RESOURCES