Year: 2024
Type: article
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.
DOI: 10.56578/jisc030303
Authors: Ming Yin, Yanlei Fu, Jiefeng Mei
Institution: Qingdao University of Science and Technology
Language: English
Subfield: Signal Processing
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
Award: G6428880985
OpenAlex ID: W4404774263