北斗导航递推最小二乘抗干扰算法及FPGA实现

Tao Luo, Peng Chen, Zongxin Wang, Yuhuan Zhang
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引用次数: 1

摘要

北斗导航卫星被用户接收到的信号非常微弱,容易受到有意或无意的干扰。研究了以功率反转(PI)算法为代表的盲干扰抑制技术,通过优化波束形成权重,提高信噪比,可以在干扰方向未知的情况下有效抑制干扰。以抗干扰性能和实现复杂度为指标,提出了一种基于现场可编程门阵列(FPGA)的PI算法实现结构,用于开发数字系统,高效构建抗干扰算法实现体系。给出了样本矩阵反演(SMI)、最小均方误差(LMS)和递推最小二乘(RLS)算法在四元半波长阵距线性阵列中的仿真结果。结果表明,RLS算法具有比LMS算法更快的收敛速度和比SMI算法更低的计算复杂度。在FPGA测试中,对单宽带和三宽带干扰的抗干扰性能可分别达到80 dB和70 dB左右。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Recursive Least Square Anti-Jamming Algorithm and FPGA Implementation for BeiDou Navigation
The signal of Beidou navigation satellite is very weak when it is received by the users, and it is easily interfered by intentional or unintentional interferences. Blind interference suppression technology represented by power inversion (PI) algorithm is studied and can effectively suppress the interference under the condition of unknown interference direction by optimizing the beamforming weights to improve the signal to interference plus noise ratio (SINR). Taking anti-interference performance and implementation complexity as indicators, a PI algorithm implementation structure based on field programmable gate array (FPGA) is proposed to develop digital systems and build an anti-interference algorithm implementation system efficiently. Simulation results of sample matrix inversion (SMI), least mean square error (LMS) and recursive least square (RLS) algorithm, in four-element linear array with half-wavelength array spacing, are given respectively. The results show that the RLS algorithm has faster convergence speed than the LMS algorithm, and has less computational complexity than the SMI. In FPGA measurement, the anti-interference performance can reach about 80 dB and 70 dB respectively for single and triple broadband interferences.
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