用于双卫星导航系统用户接收机抗干扰的自适应 干扰正交约束下的最佳信号增强算法

本文提出了一种适用于双星用户机的自适应干扰正交约束下的最佳信号增强算法,该算法将干扰抑制和最佳双星信号接收问题,转化为确定干扰正交子空间和无干扰加权矢量,以及无干扰加权矢量向干扰正交子空间投影的问题.为使小口径的CRPA形成分别对准两颗卫星的波束,本文采用基于等信噪比最佳信号增强算法计算无干扰加权矢量;而为得到干扰正交子空间,本文引入MUSIC算法,通过分析样点数目和通道的不一致性对最小特征值的影响,给出了划分干扰子空间和干扰正交子空间的门限.所提算法干扰抑制比大,输出电平稳定,权矢量更新速度可达μs级,并能保证对两颗卫星一定的增益.

The Strengthened Signal Optimal Algorithm with Adaptive Orthogonal Jammer Constraint Used in Navigation Receivers of Two Satellites

A strengthened signal Optimal Algorithm with Adaptive Orthogonal Jammer Constraint (OAAOJC) is proposed,which can be used in the anti-jamming of the the Navigation Receivers of Two Satellites.This algorithm eliminates the jammers and receives two satellite signals through determining the Orthogonal Jammer Subspace(OJS) and the quiescent weight vector(the weight vector under the condition of no jammers) and projecting the quiescent weight vector onto OJS.To calculate the quiescent weight vector,the strengthened signal optimal algorithm with equal SNR is presented,which can make the CRPA with small diameter from two beams in directions of the two satellites in condition of no jammer.In order to obtain OJS,the MUSIC algorithm is introduced and the threshold which is used to distinguish the jammer subspace and OJS is given through analyzing the effect of the sampling number and the CRPA 's inconsistency on the perturbation of the minimum eigenvalue.This algorithm is characterized by stable voltage output,microsecond level update ratio of the weight vector and large jammer-eliminating-ratio with certain gains for satellite signals.