| 摘要: |
| 针对部分相关中等起伏目标的最佳检测，本文提出了基于快速特征分解的组滤波自适应杂波抑制的实现算法。算法能有效抑制杂波，提高检测概率，由于采用了快速子是分解技术而明显地降低了运算量使算法易于实时实现。对收敛特性的分析表明，算法具有良好的收敛性能。文中采用的最小二乘技术同组滤波方法的结合使得即使在非平稳的条件下也可以获得高效的杂波谱估计，进而有针对性地完成特定谱区域的信号提取，从而实现在不同目标和杂波环 |
| 关键词: 信号处理 快速特征分解 组滤波 杂波抑制 |
| DOI：10.3969/j.issn.1001-893X. |
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| 基金项目: |
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| Adaptive Clutter Supperssion Algorithm Based on Fast Eigen Decomposition |
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| Abstract: |
| A algorithm of adapfive clutter suppression corresponding to optimum detection of moderately fluctuating radar target is present in this paper.The algorithm applies bank filtering based on fast eigen decomposition by which the complexity of the algorithm is obviously decreased and can be implemented on real time.By method of combination of least squares (LS) and bank filtering (BF) present in this paper,we can obtain good clutter spectrum estimation and targets extraction of spcial doppler spectrum scope and achieve effective clutter suppression in varying clutter environment. |
| Key words: Signal Processing Technology, Fast Eigen Decomposition,Bank Filtering,Adaptive Clutter Suppression,Detection Probability |
《电讯技术》编辑部 