Research on DOA estimation of vector-sensor array with time-frequency MUSIC algorithm
Tingting Li · Shengxue jishu · 2010
Time-frequency MUSIC algorithm utilizes signal’s time-frequency distribution to construct spatial time-frequency distribution matrix instead of the conventional covariance matrix to estimate direction of arrival of the signals.It has been shown that using the spatial time-frequency distribution can restrain both noise and disturbance ef-ficiently,and the robustness of the algorithm can also be improved.Time-frequency subspace algorithm is not restricted by the number of sources unlike the traditional subspace estimation algorithm.Time-frequency-space information is contained by time-frequency points which can be used to establish the array manifold matrix.As for a wideband signal,the algorithm avoids to search in frequency domain,so the calculation amount can be reduced.In this paper,time-frequency MUSIC algorithm is applied to 2-D vector-sensor vertical linear array to make full use of the sca-lar-vector quantity of the vector-sensors and the time-frequency information of the signals for two-dimensional DOA estimation.The validity of the algorithm is verified by simulation.