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- W1970080930 abstract "Likelihood ratio test (LRT) and best linear unbiased estimator (BLUE) have been researched as estimation methods of observation event in sensor network. LRT and BLUE can estimate the observation event with high accuracy at the fusion center (FC) when the FC has a perfect knowledge of observation statistics of each sensor node. However, all the sensor nodes' observation statistics are not always available at the FC. In this paper, we propose a method to estimate false alarm probability and observation noise variance of each sensor node at the FC, and present the performance of LRT and BLUE using the proposed estimation method. We show that the LRT and BLUE using the proposed method achieve almost the same bit error rate (BER) as the conventional LRT and BL UE with perfect knowledge of them" @default.
- W1970080930 created "2016-06-24" @default.
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- W1970080930 date "2006-07-01" @default.
- W1970080930 modified "2023-10-14" @default.
- W1970080930 title "Estimation Method of False Alarm Probability and Observation Noise Variance in Wireless Sensor Networks" @default.
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- W1970080930 doi "https://doi.org/10.1109/icif.2006.301818" @default.
- W1970080930 hasPublicationYear "2006" @default.
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