LIKELIHOOD RATIO DETECTION OF SWERLING Ⅱ TARGETS IN RICIAN CLUTTER

Zhu Zhaoda

Volume 8 Issue 1

Jan. 1986

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Article Navigation > Journal of Electronics & Information Technology > 1986 > 8(1): 71-75

Zhu Zhaoda. LIKELIHOOD RATIO DETECTION OF SWERLING Ⅱ TARGETS IN RICIAN CLUTTER[J]. Journal of Electronics & Information Technology, 1986, 8(1): 71-75.

Citation:

Zhu Zhaoda. LIKELIHOOD RATIO DETECTION OF SWERLING Ⅱ TARGETS IN RICIAN CLUTTER[J]. Journal of Electronics & Information Technology, 1986, 8(1): 71-75.

Zhu Zhaoda. LIKELIHOOD RATIO DETECTION OF SWERLING Ⅱ TARGETS IN RICIAN CLUTTER[J]. Journal of Electronics & Information Technology, 1986, 8(1): 71-75.

Citation:

Zhu Zhaoda. LIKELIHOOD RATIO DETECTION OF SWERLING Ⅱ TARGETS IN RICIAN CLUTTER[J]. Journal of Electronics & Information Technology, 1986, 8(1): 71-75.

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LIKELIHOOD RATIO DETECTION OF SWERLING Ⅱ TARGETS IN RICIAN CLUTTER

Zhu Zhaoda

Received Date: 1984-10-25
Rev Recd Date: 1985-03-21
Publish Date: 1986-01-19

Abstract

Abstract

The discrete time detection of Swerling Ⅱtargets in Rician clutter is investigated. The likelihood ratio (LR) detector struetures when the clutter steady component is coherent and noncoherent are developed respeetively. The efficacy expressions for the detectors are derived. The calculation results show that the more the clutter statistics depart from the Gaussian situation, the better is the detection performance of LR detectors than that of square law detector. The ARE in case of clutter steady component being coherent can be more than twofold higher than that in case of clutter steady component being noncoherent.

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References(1)

References

M.W.Long, Radar Reflectivity of Land and Sea, Artech House, Dedham, Mass., 1983.[2]A. Fogel, IEEE Trans. on IT, IT-29(1983), 761.[3]A. D. Whalen, Detection of Signals in Noice, Academic Press, New York, 1971.[4]J. S. Bird, Ground Clutter Suppression Using a Coherent Clutter Map, Radar-82, IEE Conference Publication Number 216, 18-20 October 1982, pp 491-495.[5]M. I. Skolnik, Introduction to Radar Systems, McGraw-Hill, New York, 1980.[6]H. Cramer, Mathematical Methods of Statistics, Princeton Univ. Press, Princeton, New Jersey,1958.

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