大规模全空域相控阵上的抗干扰算法研究

Research on anti-jamming algorithm on large-scale full-airspace phased array

摘要:

针对大规模全空域相控阵覆盖距离远、阵元数目多、易受外部环境干扰等特点，设计了一种空时自适应处理抗干扰算法；通过结合GSC降维结构和子阵级STAP方法，在保证抗干扰性能的同时提高了自由度，减少了大规模相控阵抗干扰处理的算力要求；通过使用Householder变换方法构建阻塞矩阵进一步减少了计算量；在椭球面相控阵上进行抗宽带干扰仿真，结果表示在未加入GSC结构之前，对于干扰信号均能形成凹口；加入基于Householder变换的GSC结构后可在保持抗干扰性能的同时使得使构建阻塞矩阵的计算量降低了一个量级，达到了可实时实现的水平。

Abstract:

In view of the characteristics of large-scale all-airspace phased array such as long coverage distance, large number of array elements, and susceptibility to external environmental interference, a space-time adaptive processing anti-jamming algorithm was designed. By combining the GSC dimensionality reduction structure and the sub-array level STAP method, the degree of freedom is improved while ensuring the anti-interference performance, and the computing power requirements of large-scale phased array anti-interference processing are reduced. The blocking matrix is constructed by using the Householder transform method, which further reduces the computational cost. The anti-broadband interference simulation is carried out on the ellipsoidal phased array, and the results show that notches can be formed for the interference signal before the GSC structure is added. After adding the GSC structure based on the Householder transform, the computational cost of constructing the blocking matrix can be reduced by an order of magnitude while maintaining the anti-interference performance, and the level of real-time implementation can be reached.