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A fusion algorithm of passive sound source localization based on the two-plane four-element cross array
Hongyan Xing1, Xu Yang1, Xinyuan Ji1
1Collaborative Innovation Center for Meteorological Disaster Prediction and Evaluation, Nanjing University of Information Science and Technology, Nanjing 210044, China.
The Review of Scientific Instruments
|April 9, 2020
Summary
A novel fusion algorithm enhances passive sound source localization accuracy using a two-plane cross array. This method overcomes position blur, achieving high precision for applications like thunderstorm detection.
Area of Science:
- Acoustics
- Signal Processing
- Array Signal Processing
Background:
- Traditional passive sound source localization methods using single-plane arrays suffer from position blur.
- Improving accuracy and stability in sound source localization is crucial for various applications.
Purpose of the Study:
- To propose and validate a fusion algorithm for enhanced passive sound source localization.
- To overcome the limitations of traditional single-plane arrays in accurately determining sound source positions.
Main Methods:
- Established a two-plane four-element cross array model.
- Derived sound source position calculation formulas based on array principles.
- Introduced elevation angle sine value as a weighted coefficient to address indirect measurement errors.
- Employed a fusion algorithm for sound source localization using the developed array model.
Main Results:
- Quantified the relationships between time delay estimation error, elevation angle, horizontal angle, and localization performance.
- Validated the algorithm's accuracy through ranging and direction-finding measurements.
- Achieved a distance error rate within 2% and an angle error rate within 3%.
Conclusions:
- The proposed fusion algorithm significantly improves passive sound source localization accuracy and stability.
- The algorithm demonstrates high precision and quick measurement capabilities.
- The method holds promise for applications such as thunderstorm cloud detection.
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