volume | PIER Journals

Abstract

The antenna array structure represents a pivotal technology for synthetic aperture interferometric radiometers (SAIRs). However, current array optimization metrics often have conflicting relationships among themselves, posing a significant challenge to achieving a harmonious balance. To tackle this issue, this paper introduces the point spread function (PSF) into the array optimization process and proposes a PSF-based antenna array optimization method. As a crucial characterization of the SAIR system, PSF can effectively evaluate the SAIR's comprehensive imaging performance. The mainlobe-sidelobe comprehensive quality (MSCQ) is innovatively proposed is proposed as a system-level metric to evaluate PSF quality and guide array optimization. The MSCQ consists of two parts: the main lobe width and the side lobe energy ratio. The main lobe width can evaluate the spatial resolution of SAIR, and the side lobe energy ratio can evaluate the noise performance. In addition, in order to overcome the defect that the traditional optimization algorithm is prone to fall into the local optimum, this paper adopts the improved velocity-paused particle swarm algorithm (VPPSO) for high-precision optimization. The experimental results show that the PSF-based optimized array can effectively enhance SAIR's comprehensive performance and achieve high-performance imaging.

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Dr. Xinqian Chen

Dr. Yujie Ruan

Professor Jianfei Chen