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用于低空慢速小目标检测的稳健发射波束形成算法

Robust Transmit Beamforming Algorithm for Low-Altitude Slow-Speed Small Target Detection.

作者信息

Jin Songpo, Li Hongtao, Wang Pengyi, Shen Yi, Zhuang Shanna

机构信息

The 54th Research Institute of China Electronics Technology Group Corporation, Shijiazhuang 050081, China.

School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China.

出版信息

Comput Intell Neurosci. 2022 Jun 8;2022:6358133. doi: 10.1155/2022/6358133. eCollection 2022.

Abstract

Strong ground clutter echoes make it difficult to detect low-altitude slow-speed small (LSS) targets. To suppress ground clutter effectively in LSS target detection, a robust transmit beamforming algorithm has been proposed in this paper. Sidelobes in the ground side can be cut down, with the excess energy concentrated on the air side, which would be cleaner and simpler. The objective function is a second-order cone programming problem and can be solved by the convex optimization algorithm. With the consideration of taking full advantage of transmit power, the weight vector is further processed under the unimodular constraint. Numerical experiments are carried out to demonstrate the validity and superiority of the proposed method.

摘要

强烈的地面杂波回波使得探测低空慢速小目标变得困难。为了在低空慢速小目标检测中有效抑制地面杂波,本文提出了一种鲁棒的发射波束形成算法。地面一侧的旁瓣可以被削减,多余的能量集中在空域一侧,这样会更干净、更简单。目标函数是一个二阶锥规划问题,可以通过凸优化算法求解。考虑到充分利用发射功率,在单位模约束下对权重向量进行了进一步处理。进行了数值实验以证明所提方法的有效性和优越性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/434a/9200524/90a1f0c78c92/CIN2022-6358133.001.jpg

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