Open AccessJoint phase error estimation and sparse scene restoration algorithms for frequency agile radar
Author(s) -
Fei Zhiting,
Zhang Jindong,
Zhu Xiaohua,
Ding Xun
Publication year - 2021
Publication title -
iet radar, sonar and navigation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.489
H-Index - 82
eISSN - 1751-8792
pISSN - 1751-8784
DOI - 10.1049/rsn2.12143
Subject(s) - computer science , algorithm , radar , computational complexity theory , joint (building) , phase (matter) , coherence (philosophical gambling strategy) , bandwidth (computing) , engineering , mathematics , telecommunications , statistics , architectural engineering , chemistry , organic chemistry
Abstract Frequency agile radar (FAR) systems have been demonstrated to have outstanding performance in electronic counter‐countermeasures (ECCM). With increased bandwidth in which FAR can switch carrier frequency, the phase errorswill appear at the corresponding frequency point, resulting in the decrease of coherence of the system. To accomplish phase error correction and range and velocity information extraction of the target simultaneously, a joint phase error estimation and sparse scene restoration algorithm based on sparse recovery (JPSA‐SR) is proposed here. To further reduce the computational complexity of the algorithm, a joint phase error estimation and sparse scene restoration algorithm based on alternating direction method of multipliers (JPSA‐ADMM) is also proposed. Numerical examples show the effectiveness of the proposed algorithms.