TDL结构下改进的SRV宽带抗干扰算法

针对导航信号宽带抗干扰问题,传统的处理宽带信号问题通常将宽带信号处理成若干个窄带信号,但是宽带抗干扰技术却不能简单的处理为多个窄带抗干扰技术。本文提出了一种基于抽头延迟线(TDL)结构的改进空间响应偏差(SRV)因子的线性约束最小方差(LCMV)算法,此算法在空时联合处理宽带阵列信号的基础上,通过增加SRV约束改善阵列响应的频率不变性,并结合线性约束最小方差的准则,通过Frost梯度算法求取权值,对干扰信号进行抑制。仿真结果表明本文算法能够在干扰方向产生较深的零陷,并保留有用信号,稳健性好,提高输出信号的信噪比,且收敛速度快,与传统的宽带抗干扰算法相比较具有明显的优越性。

Improved SRV wideband anti-jamming algorithm under TDL structure

In order to solve the problem of wideband anti-jamming of navigation signal, the traditional wideband anti-jamming technology usually processes the wideband array signal into several narrowband signals, but the wideband anti-jamming technology can not simply deal with multiple narrow-band anti-jamming technologies. In this paper, a linear constrained minimum variance (LCMV) algorithm based on the improved spatial response deviation (SRV) factor of tapped delay line (TDL) structure is proposed, which is based on space-time joint processing of wideband array signals. The frequency invariance of array response is improved by adding constraints, and the interference signal is suppressed by gradient algorithm based on the criterion of linear constraint minimum variance. Simulation results show that the algorithm can generate deep zeroing in the interference direction, and retain useful signals, good robustness, low output signal-to-noise ratio, and fast convergence speed, compared with the traditional broadband anti-jamming algorithm has obvious advantages.