Azimuth Pre-filtering Implemented in FPGA Based on Multi-phase Decomposition

Azimuth pre-filtering is usually used to address the redundancy issue in Synthetic Aperture Radar (SAR) raw echo data, and reduce data size while improving the Signal-to-Noise Ratio (SNR). An azimuth pre-filtering method based on multi-phase decomposition for FPGA implementation is proposed in this paper. Firstly, a multi-phase decomposition-based Finite Impulse Response (FIR) decimation filter is derived for filtering and extraction through dividing the filter into multiple sub-filters. Then, the implementation process of the above-mentioned filter is designed for FPGA, and the module framework is provided. Finally, experimental results are given to demonstrate the correctness and effectiveness of the proposed method.

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Publication Details

Published
2024-09-22
DOI
https://doi.org/10.1109/apcap62011.2024.10881360
Primary Topic
Advanced Algorithms and Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

Azimuth Pre-filtering Implemented in FPGA Based on Multi-phase Decomposition

Gang Xu, Xiaoyu Huang, Yang Li, Shuo Sun et al.
Advanced Algorithms and Applications
article

Azimuth Pre-filtering Implemented in FPGA Based on Multi-phase Decomposition

Gang Xu, Xiaoyu Huang, Yang Li, Shuo Sun, Mengjie Jiang
article en

Abstract

Azimuth pre-filtering is usually used to address the redundancy issue in Synthetic Aperture Radar (SAR) raw echo data, and reduce data size while improving the Signal-to-Noise Ratio (SNR). An azimuth pre-filtering method based on multi-phase decomposition for FPGA implementation is proposed in this paper. Firstly, a multi-phase decomposition-based Finite Impulse Response (FIR) decimation filter is derived for filtering and extraction through dividing the filter into multiple sub-filters. Then, the implementation process of the above-mentioned filter is designed for FPGA, and the module framework is provided. Finally, experimental results are given to demonstrate the correctness and effectiveness of the proposed method.

Beijing Microelectronics Technology Institute (CN), State Key Laboratory of Millimeter Waves, Southeast University (CN)
National Science Foundation, Natural Science Foundation of Jiangsu Province, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 66%
Advanced Algorithms and Applications
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Azimuth Pre-filtering Implemented in FPGA Based on Multi-phase Decomposition — Gang Xu, Xiaoyu Huang, et al. · (2024) | TGRS Research Map | TGRS