The Comparison between Chaos Algorithm and Music Algorithm Applied in Weak Signal Detection

Chen Zhang; Zhen Bin Gao; Jing Chun Li; Biao Huang

doi:10.4028/www.scientific.net/AMM.427-429.1552

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 427-429The Comparison between Chaos Algorithm and Music...

The Comparison between Chaos Algorithm and Music Algorithm Applied in Weak Signal Detection

Abstract:

Chaos algorithm is essential in weak signal detection because of its sensibility to weak signals and immunity to noise. This paper applies subspace algorithm which originates from array signal processing to weak signal detection field because of its lower signal to noise ratio. Firstly, the article introduces the principles of two algorithms, then analyses simulation experiments results of real signal data. After that, a conclusion for two algorithms comparison by estimation of computation cost, complexity of implementation and hardware resources occupied is drawn. At the end, the writer designs a duffing chaos module which is the core part of chaotic detection with verilog-hdl.

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Periodical:

Applied Mechanics and Materials (Volumes 427-429)

Pages:

1552-1556

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.427-429.1552

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Online since:

September 2013

Authors:

Chen Zhang*, Zhen Bin Gao, Jing Chun Li, Biao Huang

Keywords:

Chaos Algorithm, Low Signal to Noise Ratio, RK4, Subspace Algorithm, Weak Signal Detection

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* - Corresponding Author

References

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