Robust Beamforming Based on Covariance Matrix Reconstruction in FDA-MIMO Radar to Suppress Deceptive Jamming

. 2022 Feb 14;22(4):1479. doi: 10.3390/s22041479

Algorithm 1: Proposed RAB Algorithm.

1:
Calculate the SCM $\hat{R}$ via (20) and estimate the residual noise power ${\hat{σ}}_{n}^{2}$ using (26).
2:
Reconstruct signal covariance matrix ${\hat{R}}_{S}$ using (28) and desired signal SV ${\hat{a}}_{S}$ (30) is obtained by eigen-decomposing ${\hat{R}}_{S}$ .
3:
Eigen-decompose $\hat{R}$ to obtain the subspace $U_{S J}$ (31). Calculate the jamming covariance matrix matrix ${\hat{R}}_{J - k}$ using (33), and eigendecompose ${\hat{R}}_{J - k}$ to get the subspace $V_{J - k}$ (34).
4:
Substitute $U_{S J}$ and $V_{J - k}$ into (38) to estimate the k-th jamming SV ${\hat{a}}_{k}$ .
5:
Calculate jamming power via (44), and ${\hat{R}}_{j + n}$ is reconstructed by (45).
6:
Obtain the proposed RAB weight vector ${\hat{w}}_{p r o p o s e d}$ (46).
7:
Distinguish the deceptive jamming in transmit-receive spatial frequency domain by range mismatch.
8:
Supress mainbeam deceptive jamming utilizing proposed RAB.