A Minimum-Energy-Based Algorithm for Multichannel Reconstruction

• Published in: IEEE geoscience and remote sensing letters Vol. 19; pp. 1 - 5
• Main Authors: Sun, Liwei, Yu, Ze, Li, Chun-Sheng
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Adaptive algorithms; Algorithms; Ambiguity; Azimuth; Azimuth multichannel; Beamforming; Coherence; Doppler effect; Doppler sonar; minimum-energy criterion; Noise; Noise reduction; Nonuniform sampling; Pulse repetition frequency; Reconstruction algorithms; Sampling; SAR (radar); Signal reconstruction; Signal to noise ratio; Synthetic aperture radar
• ISSN: 1545-598X; 1558-0571
• DOI: 10.1109/LGRS.2020.3017285

For the azimuth multichannel synthetic aperture radar (SAR), nonuniform sampling is common since the pulse-repetition frequency cannot be selected arbitrarily, which leads to the contradiction between ambiguity and noise suppression in the azimuth signal reconstruction. This letter constructs a novel multichannel signal model by taking the coherence among different Doppler bins into account and proposes a minimum-energy-based multichannel reconstruction algorithm, which can obtain the unambiguous signal spectrum without increasing noise in the nonuniform sampling cases. By comparing the simulation results formed by digital beamforming (DBF), improved DBF (IDBF), and space-time adaptive processing (STAP) algorithms, the proposed algorithm shows better performance in balancing ambiguity and noise.