Research on correction algorithm of 2D IAA dictionary to eliminate off-grid effect

Yiyang Liu; Jidong Suo; Xuefei Sang

doi:10.1117/12.2673906

6 April 2023 Research on correction algorithm of 2D IAA dictionary to eliminate off-grid effect

Yiyang Liu, Jidong Suo, Xuefei Sang

Proceedings Volume 12615, International Conference on Signal Processing and Communication Technology (SPCT 2022); 1261521 (2023) https://doi.org/10.1117/12.2673906
Event: International Conference on Signal Processing and Communication Technology (SPCT 2022), 2022, Harbin, China

Abstract

Sparse recovery space-time adaptive processing requires the use of dictionaries composed of redundant basis vectors, but sometimes the dictionary division is inaccurate. At this time, the off network effect will occur..Therefore, this paper studies the elimination of off-grid effect by two-dimensional iterative adaptive dictionary correction algorithm. In this method, the covariance matrix of clutter plus noise is estimated by the 2D IAA-STAP algorithm, and then the atoms most relevant to clutter points are obtained. The maximum joint likelihood function is used to search the clutter Doppler frequency atoms in the local area. Finally, a new space-time oriented dictionary is formed by iteration. The experimental simulation shows that the proposed method can make the clutter points attach to the clutter ridge better and reduce the off-grid effect more effectively.

Citation Download Citation

Yiyang Liu, Jidong Suo, and Xuefei Sang "Research on correction algorithm of 2D IAA dictionary to eliminate off-grid effect", Proc. SPIE 12615, International Conference on Signal Processing and Communication Technology (SPCT 2022), 1261521 (6 April 2023); https://doi.org/10.1117/12.2673906

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KEYWORDS

Clutter

Associative arrays

Chemical species

Doppler effect

Matrices

Pulse signals

Covariance matrices

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