SASA: Super-Resolution and Ambiguity-Free Sparse Array Geometry Optimization with Aperture Size Constraints for MIMO Radar

Mingsai Huan, Junli Liang, Yifan Wu, Yongkang Li, Wei Liu

科研成果: 期刊稿件文章同行评审

18 引用 (Scopus)

摘要

To improve the performance of multiple-input-multiple-output (MIMO) radar, various sparse arrays have been used. However, the angular resolution of existing nonuniform arrays optimized by either combinatorial algorithms or heuristic ones is limited by the Rayleigh criterion, which is strictly related to the aperture size. Based on the angular ambiguity function (AAF) analysis, two new models are established in this work for directly optimizing the sidelobe level (SLL) or the main lobe width (MLW) with the constraints of aperture size and element spacing. The aforementioned designs result in non-convex and nonlinear optimization problems, and solutions are derived via the alternating direction multiplier method (ADMM). Furthermore, considering a parametric tradeoff between SLL and MLW, a hybrid algorithm is proposed to search for the SLL-MLW Pareto front boundary. Finally, simulations are provided to demonstrate the high angular resolution and ambiguity-free properties of the optimized sparse arrays.

源语言英语
页(从-至)4941-4954
页数14
期刊IEEE Transactions on Antennas and Propagation
71
6
DOI
出版状态已出版 - 1 6月 2023

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