考虑射频隐身的雷达功率自适应管控方法
A Method of Radar Power Self-adapting Control Considering Radio Frequency Stealth
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摘要: 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。Abstract: In order to improve radar radio frequency stealth ability, a novel method of radar power self-adapting control is proposed.Firstly, at the same time of guarantee of certain detection probability, radar power classification criteria is achieved by k-means algorithm with radar cross section ( RCS) of varying size and distance obtained by passive detection system. Secondly, it regards maximum power in the expected direction and minimum power in the other directions as the objective functions. Then an improved multi-scale quantum harmonic oscillator algorithm ( IMQHOA) is proposed, which introduces compensating factor, to solve the best radar array element switch sequence. Lastly efficiency of radio frequency stealth measures based on intercepting factor is defined. The simulation shows that IMQHOA can achieve better objective function solution and the proposed method of radar power classification has higher efficiency of radio frequency stealth measure.