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一种基于Keystone变换的运动目标相参积累方法
引用本文:罗丁利,向聪. 一种基于Keystone变换的运动目标相参积累方法[J]. 现代雷达, 2017, 0(10): 49-54
作者姓名:罗丁利  向聪
作者单位:西安电子工程研究所,西安710100,西安电子工程研究所,西安710100
摘    要:以宽带线性调频连续波体制雷达为背景,研究了运动目标长时间相参积累时的距离走动和多普勒展宽特性,给出了相应的距离多普勒平面展宽面积与信噪比损失的显式函数,进而提出了一种基于距离-多普勒二维最小波形熵的速度模糊次数寻优准则。结合Keystone变换和CLEAN算法探讨了强杂波背景下的运动目标相参处理流程,最后利用仿真实验验证了文中所提算法的有效性。

关 键 词:宽带线性调频连续波  Keyston变换  距离走动因子  二维波形熵  CLEAN算法

An Algorithm for Moving Target Coherent Integration Based on Keystone Transform
LUO Dingli and XIANG Cong. An Algorithm for Moving Target Coherent Integration Based on Keystone Transform[J]. Modern Radar, 2017, 0(10): 49-54
Authors:LUO Dingli and XIANG Cong
Abstract:According to the background of wideband linear frequency modulated continuous wave (LFMCW) radar,the range-walk and Doppler-broaden features of moving target are studied on long time coherent integration. By giving the corresponding explicitfunctions of range-Doppler broadening acreage and signal-to-noise ratio loss, an optimization algorithm is proposed based on range Doppler two-dimensional least waveform entropy. Then combining with the Keystone transform and CLEAN algorithm, coherent integration for moving target flowed in strong clutter background is studied. Finally,simulation results are presented to verify the effectiveness of the proposed method.
Keywords:wideband LFMCW   keystone transform   range-walk factor   two-dimentional waveform entropy   CLEAN algorithm
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