From uniform linear array to sparse linear array: a review

Zhe Fu; Dongsheng Lv; Tianfang Liang

doi:10.1117/12.3012466

21 December 2023 From uniform linear array to sparse linear array: a review

Zhe Fu, Dongsheng Lv, Tianfang Liang

Proceedings Volume 12970, Fourth International Conference on Signal Processing and Computer Science (SPCS 2023); 129700U (2023) https://doi.org/10.1117/12.3012466
Event: Fourth International Conference on Signal Processing and Computer Science (SPCS 2023), 2023, Guilin, China

Abstract

Linear array is one of the most widely investigated domains in array processing. Many techniques including beamforming, subspace methods, compressive sensing techniques, etc. have been developed for years. Uniform linear array (ULA) is well adopted in many scenarios. However, there are several bottleneck issues constraining ULA, which cannot be easily settle. For instance, the maximum detectable number of targets and mutual coupling. Sparse linear array (SLA) can surmount these two physical limitations simultaneously. Mutual coupling can be limited by separating antennas at sparser position, while degree of freedoms is enhanced using the spirit of difference coarray. In this review, the development from ULA to SLA is retraced to provide inspiring points for those who are interested in SLA exploration.

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

Citation Download Citation

Zhe Fu, Dongsheng Lv, and Tianfang Liang "From uniform linear array to sparse linear array: a review", Proc. SPIE 12970, Fourth International Conference on Signal Processing and Computer Science (SPCS 2023), 129700U (21 December 2023); https://doi.org/10.1117/12.3012466

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