首页> 中文期刊> 《电波科学学报》 >基于散射中心方位特性的大角度成像数据缩减方法

基于散射中心方位特性的大角度成像数据缩减方法

         

摘要

Scattering centers of actual radar target are different from the ideal scattering centers. They have strong dependences of scattering amplitudes and positions on aspect angles of radar line of sight. Based on the aspect dependences, this paper presents a simple and effective method to reduce the complexity of imaging data. The effective observation angle of each scattering center is analyzed and estimated, and only the scattered fields under the effective observation range are selected for imaging. The image characteristic obtained by less observation angle is the same as the image characteristic obtained by wide-angle imaging. The numerical results show that the ratio of data reduction for the cone-shaped target is over 45%, and 80% for the airplane. The research results of this paper are of significance to the radar imaging and image characteristic recognition.%实际雷达目标散射中心有别于理想散射中心,具有复杂的方位特性,其散射幅度和位置随雷达观测角度改变而变化.文中基于不同类型散射中心的方位特性,提出了一种简单有效的大角度成像数据复杂度缩减方法.通过分析和预估各散射中心的有效观测角度范围,仅选择有效观测范围之内的散射场数据用于后续成像.该方法可以实现利用较少观测角下的散射回波数据获得与大角度成像结果相同的图像特征.数值结果证实,弹头目标的数据压缩率可达到45%以上,飞机目标的压缩率则达到80%以上.本文的研究结果对于雷达成像仿真、雷达图像解译等具有参考意义.

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