无人机集群对多雷达参数测量的影响效应

Influence of UAV cluster on multi-radar parameter measurement

摘要:

为验证无人机(UAV)集群电子对抗的效果，针对集群本体、集群压制干扰、集群转发干扰、集群相干干扰对多雷达参数测量的影响机理进行了探讨，并重点分析了信噪比、干信比、目标回波与UAV本体回波幅值比等影响因素。首先基于贪心算法对UAV干扰资源进行资源分配，然后通过仿真分析了几种干扰方式对雷达参数测量的影响。实验结果表明：集群本体对雷达的影响效果较小，主要原因是UAV体积小，回波功率低；集群压制干扰由于增大了检测阈值，使多雷达的目标检测概率大幅降低；集群转发干扰能产生大量假目标，导致雷达测角误差较大；集群相干干扰可使雷达测角偏离主波束方向，形成角度欺骗。综合分析，压制干扰、转发干扰和相干干扰这3种干扰方式运用在集群干扰中都具有较好的干扰效果。

Abstract:

In order to verify the effect of Unmanned Aerial Vehicle(UAV) cluster electronic countermeasures, the influence mechanism of cluster ontology, cluster suppression interference, cluster retransmitting interference, and cluster coherent interference on multi-radar parameter measurement is discussed. The influencing factors such as Signal-Noise Ratio(SNR), Jamming-Signal Ratio(JSR), and the amplitude ratio between target echo and UAV body echo are analyzed emphatically. Firstly, the UAV jamming resources are allocated based on the greedy algorithm, and then the influence of several jamming methods on the measurement of radar parameters is analyzed through simulation. The experimental results show that the cluster body has a small effect on the radar, mainly due to the small size of the UAV and the low echo power; the cluster suppression interference increases the detection threshold, which greatly reduces the target detection probability of multiple radars; retransmitting interference can produce a large number of false targets, leading to larger errors in radar angle measurement; cluster coherent interference can cause radar angle measurement to deviate from the direction of the main beam, forming angle deception. Comprehensive analysis shows that the three interference methods, suppression interference, retransmitting interference and coherent interference, have good interference effects when applied in cluster interference.