| 摘要: |
| 瓣干扰算法。通过分析阻塞矩阵预处理后数据特征值的变化情况，修正预处理导致的过处理现象，从而重构协方差矩阵，该算法适用于阻塞矩阵预处理导致的自由度损失的情况，能够解决由于预处理导致的主瓣波峰偏移等失真问题，同时算法复杂度较低。该算法最大的优点是当采样快拍包含目标信号时，其抗干扰性能较好，快拍敏感度相比常规的波束保形方法更低，经实测数据验证，结果显示出该算法的优越性。 |
| 关键词: 相控阵雷达 抗主瓣干扰 阻塞矩阵预处理 协方差矩阵重构 实测数据 |
| DOI：DOI:10.3969/j.issn.1672-2337.2020.03.001 |
| 分类号:TN911.7 |
| 基金项目:国家自然科学基金(No.61571349） |
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| Main-Lobe Jamming Suppression Algorithm Based on BMP and CMR |
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ZHANG Meng， HU Min， SONG Wanjie， ZHANG Zijing
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1. National Key Lab of Radar Signal Processing， Xidian University， Xi’an 710071， China;2. Wuhan Branch, Aerospace Nanhu Electronic Information Technology Co, Ltd, Wuhan 430000, China）
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| Abstract: |
| Regarding the main-lobe jamming suppression algorithm of phased array radar, the paper analyzes various anti-jamming algorithms based on blocking matrix pre-processing (BMP) according to the study of current main-lobe jamming suppression technique in the space-time domain, including the weighting coefficient compensation, whitening, diagonal loading and linear constraint combined with diagonal loading beam retention algorithms. A main-lobe jamming suppression algorithm for sampling snapshots containing target signals is proposed in this paper.By analyzing eigenvalues of the data after BMP, correcting the over-processing phenomenon, the covariance matrix is reconstructed. The modified CMR can not only be used in the case of the freedom loss caused by BMP, but also solve the distortion problems such as the main lobe peak offset in adaptive beam forming synthesis. The biggest advantage of the new algorithm is that its anti jamming performance is excellent and stable when the sampling snapshot contains the target signal. Meanwhile, the algorithm complexity and the snapshot sensitivity are both at a low level. In the end, the verification results of the measured data also show the superiority of the proposed algorithm when the sampling snapshot contains the target signal. |
| Key words: phased array radar main lobe jamming suppression blocking matrix pre-processing (BMP) covariance matrix reconstruction (CMR) measured data |
