The STAP Method for Moving Sonar Reverberation Suppression

S.D. Zhao; Kun Yan; T.Z. Zhou

doi:10.4028/www.scientific.net/AMM.743.395

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 743The STAP Method for Moving Sonar Reverberation...

The STAP Method for Moving Sonar Reverberation Suppression

Abstract:

The theory of full dimension and reduced dimension STAP was introduced. Based on the physical mechanism of reverberation formation, the suppression of moving sonar reverberation and the possibility of improvement of detection performance were analyzed and discussed, and the solutions of several key steps were given. The analysis shows that reverberation suppression using STAP is more difficult than clutter suppression of AEW, but its implementation is possible. The results of simulation show that the STAP method can achieve better detection performance than conventional method. The STAP method can utilize the space-time characteristic of moving sonar reverberation sufficiently, and so is a promising new method of reverberation suppression.

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Periodical:

Applied Mechanics and Materials (Volume 743)

Pages:

395-398

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.743.395

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Online since:

March 2015

Authors:

S.D. Zhao, Kun Yan, T.Z. Zhou

Keywords:

Covariance Matrix, Degree of Freedom, Reverberation, STAP

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References

[1] Brennan L.E., Reed I.S. Theory of Adaptive Radar. IEEE Trans. AES, 1973, 9(2), 237-252.

Google Scholar

[2] Fa R, de Lamare R C. Reduced-rank STAP algorithms using joint iterative optimization of filters. IEEE Trans Aerospace Electron Syst, 47(2011) 1668–1684.

DOI: 10.1109/taes.2011.5937257

Google Scholar

[3] Liu W J, Xie W C, Wang Y L. AMF and ACE detectors based on diagonal loading. J Syst Eng Electron, 35(2013) 463–468.

Google Scholar

[4] Karine Mio, Yves Chocheyras, Yves Doisy. Space Time Adaptive Processing for Low Frequency Sonar. Oceans Conference Record (IEEE) , USA, 2000, 1315-1319.

DOI: 10.1109/oceans.2000.881786

Google Scholar

[5] Reed I.S., Mallett J.D., Brennan L.E. Rapid Convergence Rate in Adaptive Arrays. IEEE Trans. AES, 1974, 10(6), 853-863.

DOI: 10.1109/taes.1974.307893

Google Scholar

[6] Brennan L.E., Staudaher F.M. Subclutter Visibility Demonstration. Technical Report RL-TR-92-21, Adaptive Sensors Inc. (1992).

Google Scholar

[7] Wang H, Cai L, On Adaptive Spatial-Temporal Processing for Airborne Surveillance Radar Systems. IEEE Trans. AES, 1994, 30(3), 660-670.

DOI: 10.1109/7.303737

Google Scholar