An algorithm based on matching pursuit (MP) is proposed for inverse synthetic aperture radar (ISAR) two-dimensional (2-D) imaging of uniformly rotating targets. The ISAR echo is decomposed into many subsignals that are generated by discretizing spatial domain and synthesizing the ISAR data for every discretized spatial position. The subsignals that indeed contribute to the ISAR echo are selected by the MP, and their coefficients represent the superresolution image. The target rotation rate is estimated by combining MP with maximum contrast search.
ISAR 2-D Imaging of Uniformly Rotating Targets via Matching Pursuit
IEEE Transactions on Aerospace and Electronic Systems ; 48 , 2 ; 1838-1846
2012-04-01
1113235 byte
Article (Journal)
Electronic Resource
English