This paper introduces a novel clutter power model of coastal compound and deduces the statistic characteristics and the arithmetics of model parameter estimation algorithm. Then, a novel coastal compound distributed m...This paper introduces a novel clutter power model of coastal compound and deduces the statistic characteristics and the arithmetics of model parameter estimation algorithm. Then, a novel coastal compound distributed model of the clutter amplitude is proposed and its statistic character- istics are studied. Subsequently, the nonlinear relation of autocorrelation function is deduced between the coastal compound clutter random sequences and the correlated Gaussian random sequences, which is the important prerequisite for the clutter simulation based on the ZMNL (Zero Memory NonLin- earity). Lastly, the advantage of the algorithm is demonstrated by a feasible simulation of the gen- eration of the random coastal compound clutter sequences.展开更多
The detection performance and the constant false alarm rate behavior of the conventional adaptive detectors are severely degraded in heterogeneous clutter. This paper designs and analyses a knowledge-based （KB） adap...The detection performance and the constant false alarm rate behavior of the conventional adaptive detectors are severely degraded in heterogeneous clutter. This paper designs and analyses a knowledge-based （KB） adaptive polarimetric detector in het-erogeneous clutter. The proposed detection scheme is composed of a data selector using polarization knowledge and an adaptive polarization detector using training data. A polarization data selector based on the maximum likelihood estimation is proposed to remove outliers from the heterogeneous training data. This selector can remove outliers effectively, thus the training data is purified for estimating the clutter covariance matrix. Consequently, the performance of the adaptive detector is improved. We assess the performance of the KB adaptive polarimetric detector and the adaptive polarimetric detector without a data selector using simulated data and IPIX radar data. The results show that the KB adaptive polarization detector outperforms its non-KB counterparts.展开更多
广义似然比检测(Generalized Likelihood Ratio Test,GLRT)是解决复合高斯杂波下扩展目标检测问题的一种有效方法,而当目标速度未知时,经典的GLRT失效。该文针对目标速度未知的情形,提出了一种基于广义特征值分解的扩展目标多普勒频率...广义似然比检测(Generalized Likelihood Ratio Test,GLRT)是解决复合高斯杂波下扩展目标检测问题的一种有效方法,而当目标速度未知时,经典的GLRT失效。该文针对目标速度未知的情形,提出了一种基于广义特征值分解的扩展目标多普勒频率估计算法,可有效估计多普勒频率,并以此为基础设计了一种R-GLRT(Robust GLRT)检测器。仿真结果表明了这种检测器的有效性。展开更多
广义复合杂波分布(Generalized Compound Probability Density Function,GC-PDF)模型是一种适用范围广泛的杂波分布模型,参数估计是研究该杂波模型的关键技术。本文首先建立了广义复合杂波模型,推导了其统计特性。在此基础上,研究了最...广义复合杂波分布(Generalized Compound Probability Density Function,GC-PDF)模型是一种适用范围广泛的杂波分布模型,参数估计是研究该杂波模型的关键技术。本文首先建立了广义复合杂波模型,推导了其统计特性。在此基础上,研究了最小二乘参数估计方法。进而,以参数解耦和充分利用杂波序列信息为突破点,提出了一种新的杂波模型参数估计算法。该算法将一个四维非线性最优化问题转化为一个一维线性最优化问题,从而降低了计算量和所需样本数,提高了估计性能。最后,进行了仿真实验,验证了本文的结论。该算法对于高分辨雷达杂波分类和识别以及基于杂波背景的目标检测具有重要意义。展开更多
基金the National Natural Science Foundation of China (No.60402032).
文摘This paper introduces a novel clutter power model of coastal compound and deduces the statistic characteristics and the arithmetics of model parameter estimation algorithm. Then, a novel coastal compound distributed model of the clutter amplitude is proposed and its statistic character- istics are studied. Subsequently, the nonlinear relation of autocorrelation function is deduced between the coastal compound clutter random sequences and the correlated Gaussian random sequences, which is the important prerequisite for the clutter simulation based on the ZMNL (Zero Memory NonLin- earity). Lastly, the advantage of the algorithm is demonstrated by a feasible simulation of the gen- eration of the random coastal compound clutter sequences.
基金supported by the National Natural Science Foundation of China(61371181)the Shandong Provincial Natural Science Foundation(ZR2012FQ007)the Natural Scientific Research Innovation Foundation in Harbin Institute of Technology(HIT.NSRIF.2011118)
文摘The detection performance and the constant false alarm rate behavior of the conventional adaptive detectors are severely degraded in heterogeneous clutter. This paper designs and analyses a knowledge-based （KB） adaptive polarimetric detector in het-erogeneous clutter. The proposed detection scheme is composed of a data selector using polarization knowledge and an adaptive polarization detector using training data. A polarization data selector based on the maximum likelihood estimation is proposed to remove outliers from the heterogeneous training data. This selector can remove outliers effectively, thus the training data is purified for estimating the clutter covariance matrix. Consequently, the performance of the adaptive detector is improved. We assess the performance of the KB adaptive polarimetric detector and the adaptive polarimetric detector without a data selector using simulated data and IPIX radar data. The results show that the KB adaptive polarization detector outperforms its non-KB counterparts.
文摘广义似然比检测(Generalized Likelihood Ratio Test,GLRT)是解决复合高斯杂波下扩展目标检测问题的一种有效方法,而当目标速度未知时,经典的GLRT失效。该文针对目标速度未知的情形,提出了一种基于广义特征值分解的扩展目标多普勒频率估计算法,可有效估计多普勒频率,并以此为基础设计了一种R-GLRT(Robust GLRT)检测器。仿真结果表明了这种检测器的有效性。
文摘广义复合杂波分布(Generalized Compound Probability Density Function,GC-PDF)模型是一种适用范围广泛的杂波分布模型,参数估计是研究该杂波模型的关键技术。本文首先建立了广义复合杂波模型,推导了其统计特性。在此基础上,研究了最小二乘参数估计方法。进而,以参数解耦和充分利用杂波序列信息为突破点,提出了一种新的杂波模型参数估计算法。该算法将一个四维非线性最优化问题转化为一个一维线性最优化问题,从而降低了计算量和所需样本数,提高了估计性能。最后,进行了仿真实验,验证了本文的结论。该算法对于高分辨雷达杂波分类和识别以及基于杂波背景的目标检测具有重要意义。
