An improved RFI source detection method based on array factor property for synthetic aperture interferometric radiometer

Bincong Liu; Dong Zhu; Fei Hu

doi:10.1117/12.2683768

17 October 2023 An improved RFI source detection method based on array factor property for synthetic aperture interferometric radiometer

Bincong Liu, Dong Zhu, Fei Hu

Author Affiliations +

Proceedings Volume 12732, Microwave Remote Sensing: Data Processing and Applications II; 1273206 (2023) https://doi.org/10.1117/12.2683768
Event: SPIE Remote Sensing, 2023, Amsterdam, Netherlands

Abstract

The detection of Radio frequency interference (RFI) is an important work for synthetic aperture interferometric radiometer (SAIR). However, the previously proposed RFI detection methods have difficulties in dealing with complex RFI scenes with large dynamic RFI intensity. Because the strong RFI signal energy picked up by the sidelobes of synthetic beam (or array factor) of SAIR are easily detected as false positive RFIs, resulting in false alarm phenomenon. To address this problem, we propose an improved RFI source detection method based on the array factor property (AFP) of SAIR. The AFP-based RFI detection (AFPRD) method mainly consists of three steps. First, RFI sources are recovered from visibility function samples through sparse reconstruction method reweighted l1-norm minimization (RL1). Second, the AFP of SAIR is analyzed concerning distribution characteristics of main beam and sidelobes. Since the recovered RFI map can be regarded as the convolution of the actual RFI map and AF, the relative positions of the strong RFI and its resulting false positive RFIs are consistent with the relative position of the main lobe and the sidelobes in AF. Based on the AFP analysis, we present a new spatial weight indicator (SWI) to describe the probability of one possible RFI being false positive. And each pixel in the RFI map is assigned with a SWI value to generate the SWI-based probability matrix (SPM). Third, the SPM and the SR-based map are combined to reconstruct the RFI image, where false positives are filtered out while true RFI sources are retained. In the experiment, the validity of the proposed method is verified by synthetic data and real data measured by SMOS satellite.

Conference Presentation

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Bincong Liu, Dong Zhu, and Fei Hu "An improved RFI source detection method based on array factor property for synthetic aperture interferometric radiometer", Proc. SPIE 12732, Microwave Remote Sensing: Data Processing and Applications II, 1273206 (17 October 2023); https://doi.org/10.1117/12.2683768

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