CAJ | 학술논문

针对常规自适应脉冲压缩方法在目标散射点与采样中心失配时旁瓣抑制性能下降的问题，该文提出一种基于迭代线性约束最小方差(RLCMV)的自适应脉冲压缩方法。该方法首先将自适应波束形成器算法引入到自适应脉冲压缩滤波器设计中。其次对目标及干扰单元进行线性约束，并用对角加载技术避免矩阵出现病态。最后构造了迭代运算方法，依次抑制不同大小目标的距离旁瓣。仿真结果表明，该算法可以有效抑制散射点随机分布目标的距离旁瓣，对散射点与采样中心失配情况具有较好的稳健性，在多目标及距离扩展目标场景中达到较好的旁瓣抑制性能，并在一定程度上提高了多普勒容性。
침대상규자괄응맥충압축방법재목표산사점여채양중심실배시방판억제성능하강적문제，해문제출일충기우질대선성약속최소방차(RLCMV)적자괄응맥충압축방법。해방법수선장자괄응파속형성기산법인입도자괄응맥충압축려파기설계중。기차대목표급간우단원진행선성약속，병용대각가재기술피면구진출현병태。최후구조료질대운산방법，의차억제불동대소목표적거리방판。방진결과표명，해산법가이유효억제산사점수궤분포목표적거리방판，대산사점여채양중심실배정황구유교호적은건성，재다목표급거리확전목표장경중체도교호적방판억제성능，병재일정정도상제고료다보륵용성。
In order to solve the problem of range side-lobes suppression performance degradation due to error between scatter and sample center of tradition methods, a new adaptive pulse compression algorithm based on Reiterative Linearly Constrained Minimum Variance (RLCMV) is presented in this paper. Firstly, adaptive beamformer is introduced into adaptive pulse compression. Then, linearly constraint is forced on range bins of target and interference, and diagonal loading techniques are applied. Finally, reiterative method is presented to suppress the side-lobe of target in range of different Radar Cross Section (RCS). Simulation results show that this algorithm can effectively suppress side-lobes of scatters random distributed in range bin, and it is robust to error between scatters and sample center. It keeps excellent performance even in multi-targets and range- extended target scenario, and improves performance of high Doppler target to a certain extend.