Blind Wideband Beamforming Algorithm Based on the Uncertainty Set

• 作者: Chao REN Zhengxuan ZHANG Enyuan TU
• 来源期刊: 测绘学报（英文版）
• 年，卷（期）: 2021,（2）
• 所属期刊栏目: Special Issue
• 页码范围: 72-78
• 页数: 7页
• 语种: 英文

摘要

Without prior knowledge, the steering vector estimation error of the desired signal will deteriorate the beamforming performance to some extent.To solve this problem, a space-time blind wideband beamforming algorithm based on the uncertainty set is proposed. First of all, based on the space-time filtering model, the spherical constraint set is designed according to the uncertainty of the estimation error of the space-time steering vector. Then, the method of wideband beamforming under multi-constraints in the frequency domain is derived, and the calculation of parameters of steering vector estimation error and loading factor are given in detail. Finally,a blind broadband beamforming algorithm combined with the CAB algorithm is proposed. The improvement of the output signal-to-noise ratio is quantitatively analyzed by computer simulation to verify the correctness and robustness of the algorithm.