子空间跟踪算法在GPS实时抗干扰中的应用研究

A Study on Application of Subspace Tracking Algorithm to GPS Real-time Anti-jamming

针对电子战中移动的和时变的干扰,提出了一种新的自适应调零算法。该算法利用信号之间的正交性,能够有效地抑制强干扰和弱干扰,同时由于综合运用了正交的压缩近似投影子空间跟踪算法,能够对子空间逐次迭代更新,实时估计子空间的变化,还避免了自相关矩阵估计和特征值分解,大大简化了计算,提高了算法的实时性。仿真结果证明了算法对干扰能形成很深的零陷,并有很高的跟踪精度,说明算法具有良好的实时抗干扰性能。

In order to counteract mobile and time-varying jammers, a new adaptive null tuning algorithm was proposed. The new algorithm which make use of orthogonality between signals can effectively eliminate strong and weak interference. More importantly, it can update the subspaee sample by sample and estimate the subspaee in real-time, and or- thogonal projection approximation subspace tracking with deflation（PASTd） method was used. Additionally, the algo- rithm avoided the estimation of auto-correlation matrix and decomposition of eigenvalue, so the computation was simplified and the real-time performance was remarkably improved. The deep null depth to the jammers and high tracking precision are verified by the simulation results. It demonstrates the excellent anti-jamming performance of this algorithm.