Efficient Frequency Hopping Signal DOA Estimation Based on Spatial Time-Frequency Covariance Matrix Reconstruction

In order to make full use of the spatial domain information of frequency hopping signals for DOA estimation of signals, based on the analysis of signal space-time-frequency analysis, an efficient frequency hopping signals DOA estimation method based on covariance matrix reconstruction is proposed in this paper. Firstly, the uniform linear array of the received signal is divided into two sub-arrays, and the time-frequency analysis is performed on the signals received by each sub-array. Effective hops are selected from the time-frequency domain and every hop’s spatial- frequency matrix is built. The cross-covariance matrix of two sub-arrays are computed. Reconstructing the cross-covariance matrix of two sub-arrays to obtain the equivalent signal subspace, and finally the spatial spectral polynomial is used to estimate the DOA of the signal. The simulation results show that the proposed method can improve the estimation accuracy and reduce the complexity of the algorithm compared with the improved subspace algorithm.