School of Electronics and Communication Engineering，Sun Yat-sen University，Shenzhen Guangdong 518107，China
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.
欧阳佳康,周永坤,饶彬.无人机集群对多雷达参数测量的影响效应[J]. Journal of Terahertz Science and Electronic Information Technology ,2022,20(3):200~207Copy