机载MIMO雷达发射波形和接收滤波器组联合稳健设计方法  

Joint Robust Design Method of Transmit Waveform and Receive Filter Bank for Airborne MIMO Radar

作　　者：童日武 张剑云 周青松 TONG Riwu;ZHANG Jianyun;ZHOU Qingsong(College of Electronic Countermeasure Institute, National University of Defense Technology, Hefei 230037, China)

机构地区：[1]国防科技大学电子对抗学院,安徽合肥230037

出　　处：《探测与控制学报》2020年第3期35-43,共9页Journal of Detection & Control

摘　　要：针对机载多输入多输出(MIMO)雷达在杂波环境下波形设计时目标先验信息未知的问题,提出了发射波形和接收滤波器组联合稳健性设计方法。该方法在设计阶段以最大化最差情况下的信干噪比(SINR)为准则,对波形同时施加了能量约束、相似性约束和峰均比约束,并针对这一复杂非凸联合优化问题,提出了循环迭代算法,在每次迭代过程中通过凸近似处理将非凸优化问题转化为可解的凸优化问题,再通过可行点追踪连续凸近似算法(FPP-SCA)直接求出波形的解。仿真结果表明,在目标先验信息未知时该方法具有稳健性并能显著提升SINR,另外与现有算法对比具有更低的运算复杂度。In ord to solve the problem that the priori knowledge of target was unknown when design waveform for airborne multiple-input multiple-output(MIMO)radar in the presence of clutter,a method of joint robust design for transmit waveform and receive filter bank was proposed.In the stage of design,the worst case signal-to-interference-plus-noise-ratio(SINR)was considered as the figure of merit,and energy constraint,similarity constraint and peak-to-average-power ratio(PAR)constraint were enforced on waveform at the same time.In order to solve the complex non-convex joint optimization problem,a cyclic iterative algorithm was proposed.In each iteration,the non-convex optimization problem was transformed into solvable convex optimization problem via the convex approximation.Then,the Feasible Point Pursuit Successive Convex Approximation(FPP-SCA)algorithm was used to solve the waveform optimization problem directly.Simulation results showed that the proposed method had robustness and could significantly improve SINR when the priori knowledge of target was unknown.In addition,compared with the existing algorithm,it had lower computational complexity.

关 键 词：机载MIMO雷达 信干噪比 接收滤波器组 波形设计 稳健性 

分 类 号：TN958[电子电信—信号与信息处理]