Research on Adaptive-adaptive Beamforming Algorithm Based on Blind Separation for Passive Sonar

QIAN Yuning; CAO Xinrong; CHEN Yawei; SUN Jun; ZHANG Xiangyu

doi:10.11999/JEIT170099

Volume 39 Issue 10

Oct. 2017

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Article Navigation > Journal of Electronics & Information Technology > 2017 > 39(10): 2390-2396

QIAN Yuning, CAO Xinrong, CHEN Yawei, SUN Jun, ZHANG Xiangyu. Research on Adaptive-adaptive Beamforming Algorithm Based on Blind Separation for Passive Sonar[J]. Journal of Electronics & Information Technology, 2017, 39(10): 2390-2396. doi: 10.11999/JEIT170099

Citation:

QIAN Yuning, CAO Xinrong, CHEN Yawei, SUN Jun, ZHANG Xiangyu. Research on Adaptive-adaptive Beamforming Algorithm Based on Blind Separation for Passive Sonar[J]. Journal of Electronics & Information Technology, 2017, 39(10): 2390-2396. doi: 10.11999/JEIT170099

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Research on Adaptive-adaptive Beamforming Algorithm Based on Blind Separation for Passive Sonar

doi: 10.11999/JEIT170099

Received Date: 2017-01-24
Rev Recd Date: 2017-05-31
Publish Date: 2017-10-19

Abstract

Abstract

Due to the application requirement of adaptive-adaptive dimension reduction method in large-scale passive sonar array, a blind separation adaptive-adaptive beamforming algorithm is presented, which combines the Independent Component Analysis (ICA) with the traditional adaptive-adaptive approach. The ICA approach is firstly used to obtain the steering vectors of signal sources without prior information of signal direction. Then, the adaptive-adaptive approach is utilized to reduce signal dimension in beam space and robust adaptive approach is finally used for beamforming. The simulation studies verify the effectiveness of the proposed algorithm for computation burden reduction of large-scale array adaptive processing. Furthermore, the beamforming results and robustness of the proposed algorithm is similar to that of full- array adaptive method.
- Large-scale sonar array,
- Dimension reduction,
- Independent Component Analysis (ICA),
- Adaptive- adaptive

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References(35)

References

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