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一种基于无记忆非线性变换法的雷达杂波仿真方法研究
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作者 许小封 竺小松 翟栓领 《电子对抗》 2007年第2期43-48,共6页
对复合K分布模型进行了研究,对其ZMNL仿真方法及其统计特性进行了深入探讨。在此基础上,引入最小相位特性与复倒谱技术来解决滤波器的物理实现问题;同时利用基于神经网络技术的经验迭代法对ZMNL仿真中的非线性问题进行优化。最后,... 对复合K分布模型进行了研究,对其ZMNL仿真方法及其统计特性进行了深入探讨。在此基础上,引入最小相位特性与复倒谱技术来解决滤波器的物理实现问题;同时利用基于神经网络技术的经验迭代法对ZMNL仿真中的非线性问题进行优化。最后,对修正的ZMNL法进行仿真研究,结果表明了这种方法的准确性与有效性。 展开更多
关键词 复合K分布模型 ZMNL法 倒谱技术 经验迭代法
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Moving target detection in the cepstrum domain for passive coherent location(PCL) radar
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作者 Ji-chuan LI Xiao-de LU +3 位作者 Hui ZHANG Peng-cheng YANG Yu LIU Mao-sheng XIANG 《Frontiers of Information Technology & Electronic Engineering》 SCIE EI CSCD 2015年第9期785-795,共11页
A cepstrum moving target detection (CEPMTD) algorithm based on cepstrum techniques is proposed for passive coherent location (PCL) radar systems. The primary cepstrum techniques are of great success in recognizing... A cepstrum moving target detection (CEPMTD) algorithm based on cepstrum techniques is proposed for passive coherent location (PCL) radar systems. The primary cepstrum techniques are of great success in recognizing the arrival times of static target echoes. To estimate the Doppler frequencies of moving targets, we divide the radar data into a large number of seg- ments, and reformat these segments into a detection matrix. Applying the cepstrum and the Fourier transform to the fast and slow time dimensions respectively, we can obtain the range information and Doppler information of the moving targets. Based on the CEPMTD outlined above, an improved CEPMTD algorithm is proposed to improve the detection performance. Theoretical analyses show that only the target's peak can be coherently added. The performance of the improved CEPMTD is initially vali- dated by simulations, and then by experiments. The simulation results show that the detection performance of the improved CEPMTD algorithm is 13.3 dB better than that of the CEPMTD algorithm and 6.4 dB better than that of the classical detection algorithm based on the radar cross ambiguity function (CAF). The experiment results show that the detection performance of the improved CEPMTD algorithm is 1.63 dB better than that of the radar CAF. 展开更多
关键词 Moving target detection Cepstrum techniques Cross ambiguity fimction (CAF) Passive coherent location (PCL)radar
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