Design and Implementation of FPGA for Digital Channelization Processing

To address the rate mismatch between high-bandwidth, high-sampling-rate analog-to-digital converters (ADCs) and low-bandwidth, low-sampling-rate baseband processors, digital signal processing techniques were employed to enable the parallel processing of broadband signals.The broadband signals were decomposed into multiple narrowband channels, facilitating parallel processing and frequency-selective analysis of signals.The validity of the principle was verified through MATLAB modeling.A digital channelization Register Transfer Level (RTL) model was constructed on a Field-Programmable Gate Array (FPGA) using Verilog Hardware Description Language (HDL), implementing a pipelined parallel processing mechanism.The computational efficiency in Fast Fourier Transform (FFT) operations was improved by optimizing the processing flow.A digital channelization receiver application test board was developed using a domestically produced FMQL45T900 FPGA as the core component.Practical applications confirmed the correctness of the approach, with significant improvements in power efficiency compared to methods reported in existing literature, thereby enhancing overall parallel processing performance.This method demonstrates broad applicability in fields such as military communications, broadcasting, radar navigation systems, and more.

Authors

Publication Details

Journal
Journal of Intelligent Systems and Control
Published
2024-09-30
DOI
https://doi.org/10.56578/jisc030303
Primary Topic
Embedded Systems Design Techniques
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Design and Implementation of FPGA for Digital Channelization Processing

Ming Yin, Jie Mei, Yue Fu
Journal of Intelligent Systems and Control
Embedded Systems Design Techniques
article

Design and Implementation of FPGA for Digital Channelization Processing

Ming Yin, Jie Mei, Yue Fu
article en

Abstract

To address the rate mismatch between high-bandwidth, high-sampling-rate analog-to-digital converters (ADCs) and low-bandwidth, low-sampling-rate baseband processors, digital signal processing techniques were employed to enable the parallel processing of broadband signals.The broadband signals were decomposed into multiple narrowband channels, facilitating parallel processing and frequency-selective analysis of signals.The validity of the principle was verified through MATLAB modeling.A digital channelization Register Transfer Level (RTL) model was constructed on a Field-Programmable Gate Array (FPGA) using Verilog Hardware Description Language (HDL), implementing a pipelined parallel processing mechanism.The computational efficiency in Fast Fourier Transform (FFT) operations was improved by optimizing the processing flow.A digital channelization receiver application test board was developed using a domestically produced FMQL45T900 FPGA as the core component.Practical applications confirmed the correctness of the approach, with significant improvements in power efficiency compared to methods reported in existing literature, thereby enhancing overall parallel processing performance.This method demonstrates broad applicability in fields such as military communications, broadcasting, radar navigation systems, and more.

Journal of Intelligent Systems and ControlVol. 3(3)
National Natural Science Foundation of China
Industry, innovation and infrastructure
Openalex Percentile: Top 77%
Embedded Systems Design Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Design and Implementation of FPGA for Digital Channelization Processing — Ming Yin, Jie Mei, et al. · Journal of Intelligent Systems and Control (2024) | TGRS Research Map | TGRS