Abstract
To reduce the large errors for direction of arrival (DOA) estimation in the multipath condition, a DOA estimation method for multipath targets based on time reversal (TR) multi-input multi-output (MIMO) radar is proposed. First, the proposed algorithm combines the focusing characteristic of TR technology with the waveform diversity and symmetry characteristic of MIMO radar, obtaining the virtual sub-arrays of echo signal. Then, the authors multiplex the rows and columns and apply forward–backward spatial smoothing algorithm to remove the coherence of the virtual sub-arrays, effectively improving the DOA estimation accuracy for multipath targets. Simulation results verify the validity of the proposed method.
Highlights
Target angle tracking under low-altitude environment [1, 2] is a difficult problem in modern radar
Compared with that of the above methods, the proposed method can effectively improve the estimation accuracy of direction of arrival (DOA) of multi-targets under multipath environment
Consider a multi-input multi-output (MIMO) radar consisting of mutual transmitting and receiving arrays equipped with a uniform linear array (ULA), having M antennas separated by half a wavelength
Summary
Target angle tracking under low-altitude environment [1, 2] is a difficult problem in modern radar. The symmetry of virtual sub-arrays is utilised to perform row column reuse, and the forward–backward spatial smoothing (FBSS) technique is used to removes coherence of targets, so as to improve the accuracy of angle estimation. This method is only applicable to DOA estimation of single target under low altitude. The method makes full use of the focusing characteristic of TR method to concentrate the energy of multipath signal, performs rows and columns reuse of virtual sub-arrays and adopts the FBSS algorithm to remove coherence of targets. Compared with that of the above methods, the proposed method can effectively improve the estimation accuracy of DOAs of multi-targets under multipath environment
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