Likelihood ratio partitions for distributed signal detection in correlated Gaussian noise

Po-Ning Chen*, Adrian Papamarcou

*此作品的通信作者

研究成果: Paper同行評審

31 引文 斯高帕斯(Scopus)

摘要

A distributed detection system is considered in which two sensors and a fusion center jointly process the output of a random data source. It is assumed that the null and alternative distributions are spatially correlated Gaussian. Thus the random source is either noise only or a deterministic signal plus noise. In particular, noise models for which the optimal system employs marginal likelihood ratio tests are characterized. A sufficient condition is obtained on the noise mean and covariance under which the optimal binary quantizers are contiguous partitions of the marginal observation space. It is also examined whether the sufficient condition discussed is necessary. A subsequent question is asked whether the symmetry in the signal and noise models imply symmetry in the optimal solution. This is found to be true. Hence, an optimal design is further simplified.

原文English
頁數1
DOIs
出版狀態Published - 1 1月 1995
事件Proceedings of the 1995 IEEE International Symposium on Information Theory - Whistler, BC, Can
持續時間: 17 9月 199522 9月 1995

Conference

ConferenceProceedings of the 1995 IEEE International Symposium on Information Theory
城市Whistler, BC, Can
期間17/09/9522/09/95

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