论文部分内容阅读
为提高雷达射频隐身能力,提出一种雷达功率自适应管控方法。在保证一定雷达探测性能的条件下,根据无源探测系统获得的威胁目标的距离和雷达反射截面积参数,利用k-means算法将威胁目标聚类,根据各个聚类中心参数确定雷达分级功率;以期望方向功率最大、其他方向功率最小为优化目标,利用补偿因子对传统多尺度谐振子量子优化算法(MQHOA)进行改进,求解出最佳阵元开关序列;基于截获因子定义了射频隐身措施效率。仿真表明,改进MQHOA算法得到更优的目标函数解,基于k-means算法的功率分级准则提高了射频隐身措施效率。
In order to improve the stealth ability of radar, a method of adaptive control of radar power is proposed. Under the condition of certain radar detection performance, the threat targets are clustered by using k-means algorithm and the radar classification power is determined according to the parameters of each cluster center according to the distance of the threat target and the parameters of the radar reflection cross-section obtained by the passive detection system. In order to maximize the power in the expected direction and minimize the power in other directions, the MQHOA algorithm is improved by using the compensation factor to solve the optimal array switch sequence. The efficiency of the RF stealth measure is defined based on the acquisition factor . The simulation shows that the improved MQHOA algorithm can obtain better objective function solution and the power classification criterion based on k-means algorithm improves the efficiency of radio frequency stealth measures.