Research on Signal Detection in Linear Frequency Modulation Model

Hai Sheng Liu; Jing Wei

doi:10.4028/www.scientific.net/AMM.644-650.1294

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 644-650Research on Signal Detection in Linear Frequency...

Research on Signal Detection in Linear Frequency Modulation Model

Abstract:

In order to conduct signal detection in linear frequency modulation model, using Bayes Criterion, Neyman-Pearson criterion, Minimum error probability criterion and Maximum likelihood criterion. The experimental results show that: Neyman-Pearson criterion is a special case of the alternative Bayes detection; maximum posteriori probability criterion and minimum error probability criterion are equivalent; if equal prior probability, then the maximum a posteriori probability criterion and the maximum likelihood detection have the same probability. So in the actual operation, select appropriate criterion based on the specific conditions.

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Periodical:

Applied Mechanics and Materials (Volumes 644-650)

Pages:

1294-1297

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.644-650.1294

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Online since:

September 2014

Authors:

Hai Sheng Liu*, Jing Wei

Keywords:

Bayes Criterion, Linear Frequency Modulation, Maximum Likelihood Criterion, Minimum Error Probability Criterion, Neyman-Pearson Criterion

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