A robust DOA tracking algorithm for monostatic nested array MIMO radar

Yiling Peng; Jianjiang Zhou; Kai Deng; Ruiguang Lv

doi:10.1117/12.3012257

21 December 2023 A robust DOA tracking algorithm for monostatic nested array MIMO radar

Yiling Peng, Jianjiang Zhou, Kai Deng, Ruiguang Lv

Proceedings Volume 12970, Fourth International Conference on Signal Processing and Computer Science (SPCS 2023); 129700F (2023) https://doi.org/10.1117/12.3012257
Event: Fourth International Conference on Signal Processing and Computer Science (SPCS 2023), 2023, Guilin, China

Abstract

The DOA tracking problem of MIMO radar under various noises is studied, and a robust DOA tracking algorithm for monostatic nested array MIMO radar is proposed in this study. The nested array is used as the transmitting and receiving array of MIMO radar, which greatly increases the degree of freedom. In the aspect of DOA tracking, the signal subspace is tracked by the αFAPI algorithm, and then the DOA is calculated using the proposed reduced-dimensional root-MUISC algorithm. Simulation results show that the proposed algorithm can effectively track the DOA of targets under the background of additive white Gaussian noise, and its performance is better than that of traditional uniform linear array MIMO radar. Moreover, under the condition of low signal-to-noise ratio and small number of snapshots, the performance of the proposed algorithm is better than that of FAPI algorithm. Under the background of non-Gaussian noise, such as outliers or mixed noise, the algorithm is robust to a variety of complex noises, and shows better angle tracking performance than FAPI algorithm.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yiling Peng, Jianjiang Zhou, Kai Deng, and Ruiguang Lv "A robust DOA tracking algorithm for monostatic nested array MIMO radar", Proc. SPIE 12970, Fourth International Conference on Signal Processing and Computer Science (SPCS 2023), 129700F (21 December 2023); https://doi.org/10.1117/12.3012257

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