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Adaptive beamforming for nonstationary arrays
Michael V Greening1, Jane E Perkins
1Defence Science and Technology Organisation, Edinburgh Site, MOD Building 79, P.O. Box 1500, Edinburgh, S.A., 5111, Australia. mike.greening@dsto.defence.gov.au
The Journal of the Acoustical Society of America
|January 2, 2003
Summary
This study introduces a novel adaptive beamformer for nonstationary sensor arrays, improving signal detection and accuracy. The new method accounts for platform movement, enhancing performance in dynamic environments.
Area of Science:
- Signal Processing
- Array Signal Processing
- Adaptive Systems
Background:
- Traditional adaptive beamformers assume stationary sensor arrays.
- This assumption leads to degraded performance on nonstationary platforms.
- Existing methods fail to account for platform motion during data collection.
Purpose of the Study:
- To develop an adaptive beamformer for nonstationary sensor arrays.
- To address the limitations of current beamforming techniques in dynamic environments.
- To improve signal detection, bearing accuracy, and interference suppression for moving arrays.
Main Methods:
- Developed a novel adaptive beamformer incorporating array shape and heading changes.
- Designed the beamformer to operate directly on data from nonstationary arrays.
- Validated the approach using synthetic and real-world towed array data.
Main Results:
- The new adaptive beamformer significantly enhances signal detection.
- Improved bearing accuracy and resolution were observed.
- Demonstrated superior interference suppression compared to traditional methods.
- Validated performance gains on both synthetic and real towed array data.
Conclusions:
- Adaptive beamformers can be effectively designed for nonstationary arrays.
- Incorporating platform motion directly into the beamformer improves performance.
- This approach offers substantial benefits for applications using moving sensor platforms.