光学与光电技术, 2020, 18 (2): 47, 网络出版: 2020-06-18  

基于压缩感知的空间虚拟阵列波束形成技术

Airspace Narrow Beam Azimuth Estimation Based on Compressed Sensing
作者单位
大连大学通信与网络重点实验室, 辽宁 大连 116622
摘要
主动声呐目标回波受海洋环境噪声干扰严重, 远距离探测回波信号弱, 目标方位估计准确度低, 并且传统基阵空间谱估计方法需要满足奈奎斯特采样率, 采集数据量大。利用信号的空域稀疏性, 以回波信号亮点模型为基础, 研究了基于压缩感知的空间虚拟阵列目标方位估计技术。在接收基阵物理孔径有限的情况下, 利用线性预测(LP)虚拟阵列方法提高阵列孔径尺度, 采用压缩感知(CS)算法对目标回波信号进行重构与恢复, 通过数据仿真分析表明该算法提高了基阵空间谱估计的分辨力, 有效地抑制了噪声干扰。
Abstract
The active sonar target echo is seriously interfered by the marine environment noise. The long-range detection echo signal is weak, and the target azimuth estimation accuracy is low. Moreover, the traditional matrix spatial spectrum estimation method needs to satisfy the Nyquist sampling rate and the data acquisition amount is large. Based on the spatial sparseness of the signal and the echo signal bright spot model, the spatial azimuth estimation technique based on compressed sensing is studied. In the case of limited physical aperture of the receiving matrix, the linearaperture(LP) virtual array method is used to improve the aperture size of the array, and the compressed echo(CS)algorithm is used to reconstruct and recover the target echo signal. The data is simulated and analyzed. The resolution of the spatial spectrum estimation of the array is improved, and the noise interference is effectively suppressed.

许萌, 杨阳, 徐磊, 丁元明. 基于压缩感知的空间虚拟阵列波束形成技术[J]. 光学与光电技术, 2020, 18(2): 47. XU Meng, YANG Yang, XU Lei, DING Yuan-ming. Airspace Narrow Beam Azimuth Estimation Based on Compressed Sensing[J]. OPTICS & OPTOELECTRONIC TECHNOLOGY, 2020, 18(2): 47.

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