多点约束空时抗干扰算法的研究

Study on a multi-satellite constrained space-time anti-jam algorithm

提出了一种多点约束下的GNSS接收机空时抗干扰算法。从多点约束LCMV准则的等效GSC结构入手,对其前向分解过程进行了简化与改进,使计算复杂度降低到与单点约束问题相当;随后利用Householder多级维纳滤波(MWF)算法求解GSC结构中的经典维纳滤波问题,并利用MWF的分解特性对其后向迭代过程进行改进,得到了一种阶递归的实现结构,大大提高了算法的实时性,并可根据MSE值自适应地估计降维维数。给出了完整的算法流程,并进行了仿真实验,验证了算法的有效性。

A multi-satellite constrained space-time anti-jam algorithm was proposed for global navigation satellite system （GNSS） receivers. Firstly the equivalent GSC structure of multi-satellite constrained LCMV principle was considered and its forward decomposition process was simplified and improved, so the computation complexity was reduced to approach single-satellite constrained problem. Then the Householder multi-stage Wiener filtering （MWF） algorithm was proposed to solve the classical Wiener filtering problem in the GSC structure, and an efficient order-recursive implementation structure was obtained by improving the backward recursive process using the decomposition property of MWF, so the real-time performance was greatly promoted and the reduced rank could be adaptively estimated from the output of MSE. The complete procedure of the proposed algorithm is summed up and its validation is verified by simulations.