多子带融合解动目标径向速度模糊方法  

Multi-subband fusion for radial velocity ambiguity resolution

作　　者：杨志伟[1] 杨安东 梁庚辰 李相海 李晓蕊 刘杰[2] YANG Zhiwei;YANG Andong;LIANG Gengchen;LI Xianghai;LI Xiaorui;LIU Jie(National Key Laboratory of Radar Signal Processing,Xidian University,Xi’an 710071,China;Institute of Remote Sensing Satellite of China Academy of Space Technology,Beijing 100094,China)

机构地区：[1]西安电子科技大学雷达信号处理全国重点实验室,陕西西安710071 [2]中国空间技术研究院遥感卫星总体部,北京100094

出　　处：《系统工程与电子技术》2025年第3期788-796,共9页Systems Engineering and Electronics

基　　金：国家自然科学基金(62071481);国家资助博士后研究人员计划(BX20230277)资助课题。

摘　　要：针对中国余数定理一类的方法在解模糊时存在错误概率增大的问题,提出一种多子带相干融合解模糊方法。首先,估计出运动目标在各频点的导向,然后,依次对各参考频点求解聚焦变换矩阵,并通过空间聚焦处理提高动目标径向速度估计精度,最后,进行解模糊处理。仿真和实测数据的处理结果表明,所提方法可有效改善动目标径向速度估计精度,并提高正确解模糊的概率。A multi-subband coherent fusion de-ambiguity method is proposed to address the issue of increased error probability in solving de-ambiguity problems using methods based on the Chinese Remainder Theorem.Firstly,the proposed method estimates the steering vectors of the moving targets in each frequency band.Then,the method sequentially solves the focusing transformation matrix at each reference frequency and employs spatial focusing processing to improve the accuracy of radial velocity estimation for the moving targets.Finally,de-ambiguity processing is performed.The results of simulation and real data demonstrate that the proposed method effectively improves the accuracy of radial velocity estimation for moving targets and increases the probability of correctly resolving ambiguities.

关 键 词：合成孔径雷达 速度模糊 子带处理 径向速度估计 解模糊 

分 类 号：TN951[电子电信—信号与信息处理]