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Channelized broadband signal spectrum analysis based on weighted overlap-add structure
Lianping Guo1, Jun Jiang1, Feng Tan1
1School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, China.
The Review of Scientific Instruments
|November 3, 2016
Summary
This study presents a channelized broadband signal spectrum analysis method using weighted overlap-add (WOLA) structure for real-time applications. Simulations and experimental platforms confirm its effectiveness in analyzing wideband signals efficiently.
Area of Science:
- Signal Processing
- Digital Communications
- Electronic Engineering
Background:
- Real-time broadband spectrum analysis is a critical area in signal processing.
- Digital channelization technology is widely used in various electronic applications.
- Existing methods may face challenges in efficiency and accuracy for broadband signals.
Purpose of the Study:
- To introduce a novel channelized method for broadband signal spectrum analysis.
- To leverage the weighted overlap-add (WOLA) structure for efficient signal decomposition.
- To validate the proposed method through simulations and experimental verification.
Main Methods:
- The method utilizes the weighted overlap-add (WOLA) structure to divide broadband signals into sub-bands.
- Sub-band signals are downconverted and decimated to obtain low-sampling-rate baseband signals.
- Fast Fourier Transform (FFT) and spectrum splicing are applied for final spectrum analysis.
Main Results:
- Matlab simulations confirmed the correctness and effectiveness of the WOLA-based channelization approach.
- The method successfully achieves spectrum analysis of broadband signals by processing sub-bands.
- An experimental platform was designed and detailed to demonstrate practical feasibility.
Conclusions:
- The proposed channelized broadband signal spectrum analysis method is accurate and effective.
- The WOLA structure provides a robust foundation for real-time spectrum analysis of wideband signals.
- The developed method and experimental setup offer a practical solution for broadband spectrum analysis applications.
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