| 摘要: |
| 为了解决步进频连续波雷达中的强目标距离旁瓣掩盖弱小目标问题，对步进频自适应脉压算法(SFCW-RMSMIL)进行修正，并联合修正SFCW-RMSMIL算法和CLEAN技术，提出了一种新的自适应CLEAN算法（A-CLEAN）。该算法解决了弱小目标能量严重压制问题，同时还能精确估计各目标的幅度和位置，提高了雷达对弱小目标的检测能力。最后利用仿真数据、实测数据以及蒙特卡洛实验验证了新提出的A-CLEAN算法的有效性和实用性。 |
| 关键词: 步进频连续波雷达 旁瓣抑制 自适应CLEAN 弱小目标检测 |
| DOI： |
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| 基金项目:国家自然科学基金资助项目（61178068）；四川省教育厅项目（14ZB0223） |
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| A sidelobes suppression algorithm based on CLEAN technology for stepped frequency continuous waveform radar |
| SHUAI Xiaofei,ZHAN Xu |
| () |
| Abstract: |
| This paper addresses the masking problem of small target by large nearby target for the stepped frequency continuous waveform(SFCW) radar.Firstly,the traditional adaptive pulse compression based on the reiterative maximum signal minus interference level(SFCW-RMSMIL) is modified.Then a novel adaptive CLEAN(A-CLEAN) algorithm is proposed by combining the modified SFCW-RMSMIL method with the CLEAN technology for sidelobe reduction to improve the detection ability.The new algorithm succeeds in dealing with the problem that the power of weak target is seriously suppressed,and estimates the amplitude and location of weak target accurately.Finally,several numerical results using simulated data,real data and Monte Carlo experiment are provided to prove the effectiveness and practicability of the proposed algorithm. |
| Key words: stepped frequency continuous waveform radar sidelobes suppression adaptive CLEAN weak target detection |
