| UAVs | Unmanned Aerial Vehicles |
| RF | Radio Frequency |
| LiDaR | Light Detection and Ranging |
| RADAR | RAdio Detection And Ranging |
| LoS | Line-of-Sight |
| CNN | Convolutional Neural Network |
| ANN | Artificial Neural Network |
| NN | Neural Network |
| XGBoost | eXtreme Gradient Boosting |
| RNN | Recurrent Neural Network |
| CRNN | Convolutional Recurrent Neural Network |
| TCT | Target Candidates Track |
| ADr | Amateur Drone |
| MFCC | Mel Frequency Cepstral Coefficients |
| SVMs | Support Vector Machines |
| MLE | Maximum Likelihood Estimation |
| NLoS | Non-Line of Sight |
| NCA | Neighborhood Component Analysis |
| DNNs | Deep Neural Networks |
| DFT | Discrete Fourier transform |
| D-STFT | Discrete-Short Time Fourier Transform |
| GMM | Gaussian Mixture Model |
| KNN | K Nearest Neighbour |
| ISM | Industrial, Scientific, and Medical |
| FIR | Finite Impulse Response |
| FNR | False Negative Rate |
| FDR | False Discovery Rate |
| FFT | Fast Fourier Transform |
| MSE | Mean Square Error |
| MAE | Maximum Absolute Error |
| DL | Deep Learning |
| DA | Discriminant Analysis |
| FPR | False Positive Rate |
| TPR | True Positive Rate |
| ROC | Receiver Operating Characteristic |
| AUC | Area Under ROC Curve |