摘要
本文探讨了高、低分辨力两类雷达视频回波与目标散射特性的关系,提出了适用于低分辨力雷达目标识别的回波卷积模型;利用微波暗室测量与数字仿真得到低分辨力雷达视频回波波形,并采用投影迭代反卷积算法,获得目标散射中心特征波形,这些波形在提取目标特征及识别方面优于原始视频回波,从而验证本文模型及算法的可行性。
In this paper, the relationship between the video echo waveforms of high and low resolution radars, and target scattering characteristics is investigated. A convolution model applied to low resolution radar target recognition based on video echo waveforms is proposed. Theprojective-recursion deconvolution algorithm is used to obtain the range-profile of target scattering centers from low resolution radar video echo data. A number of measurements in anechoic chamber and digital simulation are performed. It is shown that, the resultant waveforms have the advantage over original video echo ones for further aircraft target feature extraction and classification.
出处
《系统工程与电子技术》
EI
CSCD
1993年第3期1-6,共6页
Systems Engineering and Electronics
关键词
雷达目标
目标识别
雷达回波
测量
Radar target, Target signature, Target recognition, Radar echo waveform, Deconvolution.
