复杂电磁环境下的弱干扰信号检测算法

Detecting Algorithm of Weak Interference Signals in ComplexElectromagnetic Environment

针对全球导航卫星系统(Global Navigation Satellite System,GNSS)在复杂电磁干扰环境下定位、测速、授时等性能急剧恶化甚至完全失效的问题,提出一种基于自适应阵列天线的弱干扰信号检测算法。通过对各个天线阵子接收的实时数据进行空域-频域联合处理,进而通过全频域的特征值分布可准确分离出强干扰环境下的弱干扰信号分量,同时通过特征值分布的斜率变化可进一步检测干扰信号带宽等参数。仿真结果验证了该算法对不同强度的干扰信号进行分离检测的有效性和准确性,并且在有阵列幅相误差时仍然能够得到有效的干扰检测结果。该算法为后续的抗干扰决策系统实施抗干扰行为提供依据,对不同的压制干扰形式具有通用性。

Aiming at the problem that the performance of position,velocity measurement and timing service of Global Navigation Satellite System(GNSS)will deteriorates sharply in complex electromagnetic environment,this paper puts forward a detecting algorithm of weak interference signals based on adaptive array antenna.The eigenvalues distribution in whole frequency domain through the joint process in space-frequency domain of the real-time data received from antenna elements can effectively separate and identify the weak signals around the stronger interference environment,and further analysis of the slope variation of eigenvalues distribution will detect the bandwidth and other parameters of interference signals.Simulation results show the efficiency and validity of the presented algorithm in separating and detecting interference signals of different intensities,and the detecting results still keep highly effective even with amplitude and phase errors.The proposed algorithm provides scientific basis to the subsequent anti-jamming operation of control system,and it is also feasible to different forms of barrage jamming.