For reduced-rank space-time adaptive processing(STAP) in airborne radar, this paper presents a new method — non clutter channel(NCC） method which is easy to implement in real radar systems. The NCC method uses those...For reduced-rank space-time adaptive processing(STAP) in airborne radar, this paper presents a new method — non clutter channel(NCC） method which is easy to implement in real radar systems. The NCC method uses those “channels” located in the non-clutter domain to construct the reduce-rank transformation matrix. This method avoids eigen-decomposition and the computational cost is very low. The performance is compared with that of several other methods; the simulation demonstrates that the NCC method can well approach the optimum performance and even outperform some more complex methods in low rank.展开更多
A novel clutter suppression method in ground penetrating radar （GPR） is proposed. The preliminary result is obtained by using target resolution improved processing （TRIP）. The preliminary result will be used as an...A novel clutter suppression method in ground penetrating radar （GPR） is proposed. The preliminary result is obtained by using target resolution improved processing （TRIP）. The preliminary result will be used as an initial input for TRIP iteration. All TRIP iteration steps are the adaptive linear combination of the previous TRIP result and the preliminary result. This adaptive combination strategy can balance clutter suppression and target information protection, which is considered as a troublesome contradiction and a chronic problem in clutter suppression research. When the matrix entropy of iteration result converges, the algorithm can achieve a good result both in clutter suppression and target protection. Experimental results demonstrate that the new algorithm outperforms the existing approaches.展开更多
以探测功能为主的雷达通信一体化(Dual Function Radar and Communication, DFRC)系统发射一体化信号,能够在保证探测性能的条件下,尽可能高效地与合作目标通信,使其在设备集约化要求高的电磁对抗环境中占有一席之地。因此,探通一体化...以探测功能为主的雷达通信一体化(Dual Function Radar and Communication, DFRC)系统发射一体化信号,能够在保证探测性能的条件下,尽可能高效地与合作目标通信,使其在设备集约化要求高的电磁对抗环境中占有一席之地。因此,探通一体化信号设计是以探测功能为主DFRC系统研究的关键科学问题之一。但电磁对抗环境复杂多变,可能存在非均匀、多变和强独立散射的散射体与雷达探测信号相互作用,使DFRC系统接收的回波中含有在空间上呈现非均匀特性的杂波分量,从而给雷达目标检测带来挑战。针对杂波环境中DFRC系统探测性能下降的问题,本文采用认知系统架构,获取空间非均匀杂波先验知识,以信干噪比(Signal Interference to Noise Ratio, SINR)为准则,保障雷达的探测性能。引入发射方向图主瓣和旁瓣约束,使天线方向图具有低旁瓣特性同时集中探测能量在目标所在的方位,进一步保障探测性能。此外,考虑信号变模约束平衡雷达系统发射机功放的非线性失真和优化自由度。采用了一种空间合成信号频谱置零的方法实现信息传输,构建了通信调制约束。为求解上述多约束高维非凸优化问题,研究了一种联合序列块增强(Sequential Block Enhancement, SBE)、丁克尔巴赫(Dinkelbach’s Iterative Procedure, DIP)、凸序列逼近(Sequential Convex Approximation, SCA)和内点法(Interior Point Method, IPM)的迭代求解算法。理论分析了该算法的收敛性和计算复杂度。仿真结果表明,所设计的波形能够在信号相关旁瓣杂波下,同时实现探测和多用户通信。展开更多
文摘For reduced-rank space-time adaptive processing(STAP) in airborne radar, this paper presents a new method — non clutter channel(NCC） method which is easy to implement in real radar systems. The NCC method uses those “channels” located in the non-clutter domain to construct the reduce-rank transformation matrix. This method avoids eigen-decomposition and the computational cost is very low. The performance is compared with that of several other methods; the simulation demonstrates that the NCC method can well approach the optimum performance and even outperform some more complex methods in low rank.
基金supported by the National Natural Science Foundation of China under Grant No. 40976114the National 863 Program under Grant No. 2008AA121702-3
文摘A novel clutter suppression method in ground penetrating radar （GPR） is proposed. The preliminary result is obtained by using target resolution improved processing （TRIP）. The preliminary result will be used as an initial input for TRIP iteration. All TRIP iteration steps are the adaptive linear combination of the previous TRIP result and the preliminary result. This adaptive combination strategy can balance clutter suppression and target information protection, which is considered as a troublesome contradiction and a chronic problem in clutter suppression research. When the matrix entropy of iteration result converges, the algorithm can achieve a good result both in clutter suppression and target protection. Experimental results demonstrate that the new algorithm outperforms the existing approaches.
