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中文摘要：
针对传统局部最优检测器在显著非高斯杂波背景下导致检测性能下降的问题,该文提出一种分数低阶局部最优雷达目标检测方法。首先对局部最优检测器的模型进行简化,在此基础上,根据分数低阶统计量理论,利用分数低阶相关矩阵描述杂波的相关特征,并以分数低阶二次型作为局部最优检测器的权值,改善了显著非高斯杂波背景下的雷达目标检测性能。利用仿真数据和IPIX雷达数据进行实验分析,结果表明,针对显著的非高斯杂波背景下的弱目标信号,相对于传统的局部最优检测方法,该文方法的检测性能显著提高。
英文摘要：
The target detection performance of the locally optimum detector descends in the bad non-Gaussian clutter environment. To deal with this problem, a radar target detection method based on the fractional lower order locally optimum is proposed. First, the simplified locally optimum detector is obtained, then, based on the fractional lower order statistics theory, the fractional lower order correlation matrix expresses the clutter correlation and the fractional lower order quadratic form is proposed as the weight of the locally optimum detector to improve the radar target detection in a non-Gaussian correlated clutter background. Simulations and IPIX radar data results show that, the detection performance of the proposed method obviously outperforms the locally optimum detector in the non-Gaussian badly clutter environment for the weak target.
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