首页> 外文会议>Advances in Neural Networks - ISNN 2007 pt.2; Lecture Notes in Computer Science; 4492 >An Adaptive Radar Target Signal Processing Scheme Based on AMTI Filter and Chaotic Neural Networks
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An Adaptive Radar Target Signal Processing Scheme Based on AMTI Filter and Chaotic Neural Networks

机译:基于AMTI滤波器和混沌神经网络的自适应雷达目标信号处理方案。

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In the proposed new scheme of adaptive radar target signal processing, the chaotic neural network not only detects the target signal by reconstructing the chaotic clutter, but also repairs the frequency spectrum according to its associative memory characteristic. The clutter is filtered by the Burg algorithm based on the adaptive MTI filter. The information of distance and velocity is also obtained by Burg spectral estimation. The validity of the scheme is analyzed theoretically, and the simulation results show that it has good performance in clutter and noise background. The adaptive method adopted in this paper facilitates the radar design in complex environment.
机译:在提出的自适应雷达目标信号处理新方案中,混沌神经网络不仅通过重建混沌杂波来检测目标信号,而且根据其关联记忆特性修复频谱。通过基于自适应MTI滤波器的Burg算法对杂波进行滤波。距离和速度的信息也可以通过Burg谱估计获得。从理论上分析了该方案的有效性,仿真结果表明该方案在杂波和噪声背景下具有良好的性能。本文采用的自适应方法有助于复杂环境下的雷达设计。

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