频率分集雷达最优频率间隔选择方法

摘要

传统的频率分集阵列雷达采用固定的频率间隔,从而限制了其在不同环境下的抗干扰性能.针对上述问题,提出了在干扰背景下基于斜投影滤波的频率间隔最优选择方法.通过对斜投影滤波输出信干噪比的分析,构建输出信干噪比与频率间隔的优化问题,并在每一个相干处理时间内得到最优的频率间隔.利用认知雷达的思想,将得到的最优频率间隔应用于下一个相干处理时间.理论和仿真均证明了频率分集阵列雷达能对抗主瓣干扰,而且当采用最优频率间隔时,频率分集阵列雷达可以获得更好的抗干扰性能.%The conventional Frequency diverse array (FDA) employs the fixed frequency increment,which restricts its applications in various environments.With the above findings,we propose an optimal frequency increment selection method based on oblique projection filtering for mainlobe interference suppression.We can obtain the optimal frequency increment by maximizing the output SINR of the oblique projection filter in each coherent processing interval (CPI).Inspired by the cognitive radar,the optimal frequency increment will be used in the next CPI.Simulation results demonstrate that jamming can be effectively suppressed with the radar configuration,and that better performance is achieved with an optimal frequency increment.