An Efficient Coherent Integration Method for Maneuvering Target Detection With Nonuniform Pulse Sampling Based on Filterbank Framework

作者：Jingtao Ma, Penghui Huang, Jinpei Yu, Guang Liang, Guisheng Liao, Siyue Sun, Xinglong Jiang · 发表于：IEEE Geoscience and Remote Sensing Letters · 年份：2020 · DOI：10.1109/lgrs.2019.2962065 · 被引用次数：28 · 研究领域：Advanced SAR Imaging Techniques、Radar Systems and Signal Processing、Infrared Target Detection Methodologies

This letter addresses the long-time coherent integration issue for weak maneuvering target detection in a staggered pulse repetition interval (PRI) radar system. Due to the random phase fluctuation caused by the varied PRI, the complex range-azimuth coupling effects will significantly deteriorate the maneuvering target detection performance. In this letter, the nonuniformly sampled signal is efficiently reconstructed into a uniform grid based on the filterbank framework, where the uniformly sampled spectrum of a fast-moving target with Doppler ambiguity can also be reconstructed. After compensating the coupling influence caused by target motion, a moving target can be finely focused. Both simulated and real data processing results are provided to validate the effectiveness of the proposed algorithm.