复合高斯杂波中相干雷达极化自适应检测算法研究

刘立东; 吴顺君; 孙晓闻

复合高斯杂波中相干雷达极化自适应检测算法研究

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出版历程
- 收稿日期: 2004-03-12
- 修回日期: 2005-10-24
- 刊出日期: 2006-02-19

Polarimetric Adaptive Detection Algorithm in Compound-Gaussian Clutter with Coherent Radar

摘要

摘要: 研究了在复合高斯杂波中相干雷达极化自适应检测问题，基于广义似然比检验提出了一种新的检测算法。该算法关于杂波的结构分量统计特性有恒虚警的性质，敏感度分析表明虚警概率仅轻微地受到杂波相关特性变化的影响。仿真分析了不同状态时该算法的检测性能。结果表明该算法与先前的基于广义似然比的极化自适应检测算法检测性能接近，计算复杂度较低，有实际应用价值。
- 雷达;复合高斯;极化;自适应;恒虚警
Abstract: Polarimetric adaptive detection of targets in compound-Gaussian clutter with coherent radar is addressed in the paper. An adaptive polarimetric detection algorithm is presented based upon the Generalized Likelihood Ratio Test (GLRT). The proposed algorithm has the Constant False Alarm Rate (CFAR) property with respect to the texture statistical characterization. A sensitivity analysis shows that the probability of false alarm is only slightly affected by variations in the clutter correlation properties. Resorting to simulation, the performance of the algorithm is analyzed in different cases. The proposed algorithm has an close performance as previously proposed algorithm, but it has less complexity, than the previously proposed one.

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参考文献(1)

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