Journal
IEEE COMMUNICATIONS LETTERS
Volume 25, Issue 4, Pages 1279-1282Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/LCOMM.2020.3045440
Keywords
Estimation; Multiple signal classification; Radar; Signal to noise ratio; Computational complexity; Receiving antennas; Covariance matrices; Frequency diverse array (FDA); multi-input multi-output (MIMO); target localization; MUSIC algorithm
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This study introduces a new radar signal processing algorithm that can significantly reduce computational complexity while maintaining the same performance as traditional algorithms. Simulation results confirm the effectiveness of the proposed algorithm.
This letter proposes a one-dimensional multiple signal classification (MUSIC) algorithm for the joint angle and range estimation in monostatic multi-input multi-output (MIMO) radar with frequency diverse array (FDA). The proposed algorithm can reduce the computational complexity greatly compared to the two-dimensional MUSIC (2D-MUSIC) algorithm but have the same performance as the 2D-MUSIC algorithm. Simulation results verify the performance of the proposed algorithm.
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