A Composite Signal Detection Scheme in Additive and Signal-Dependent Noise

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概要

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• When original signals are contaminated by both additive and signal-dependent noise components, the test statistics of locally optimum detector are obtained for detection of weak composite signals based on the generalized NeymanPearson lemma. In order to consider the non-additive noise as well as purely-additive noise, a generalized observation model is used in this paper. The locally optimum detector test statistics are derived for all different cases according to the relative strengths of the known signal, random signal, and signal-dependent noise components. Schematic diagrams of the structures of the locally optimum detector are also included. The finite sample-size performance characteristics of the locally optimum detector are compared with those of other common detectors.

• 社団法人電子情報通信学会の論文
• 1993-10-25

著者

• Song Iickho

  The Department Of Electrical And Computer Engineering Queen's University

• Song Iickho

  The Department Of Electrical Engineering Korea Advanced Institute Of Science And Technology (kaist)

• Kim Sangyoub

  the Department of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST)

• Kim SunYoug

  the Department of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST)

• Kim S

  Kunsan National Univ. Kusan Kor

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• Blind Channel Identification and Equalization from Second-Order Statistics and Absolute Mean (Special Issue on Personal Communications)
• A Composite Signal Detection Scheme in Additive and Signal-Dependent Noise
• Cross-Joins in de Bruijn Sequences and Maximum Length Linear Sequences^*
• Locally Optimum Rank Detector Test Statistics for Composite Signals in Generalized Observations : One-Sample Case(Regular Section)

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