TY - GEN
T1 - Estimation method of false alarm probability and observation noise variance in wireless sensor networks
AU - Fujita, T.
AU - Ohtsuki, T.
AU - Kaneko, T.
PY - 2006
Y1 - 2006
N2 - 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 BLUE with perfect knowledge of them.
AB - 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 BLUE with perfect knowledge of them.
KW - BLUE
KW - Detection
KW - False alarm probability
KW - LRT
KW - Observation noise variance
UR - http://www.scopus.com/inward/record.url?scp=50149113098&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=50149113098&partnerID=8YFLogxK
U2 - 10.1109/ICIF.2006.301818
DO - 10.1109/ICIF.2006.301818
M3 - Conference contribution
AN - SCOPUS:50149113098
SN - 1424409535
SN - 9781424409532
T3 - 2006 9th International Conference on Information Fusion, FUSION
BT - 2006 9th International Conference on Information Fusion, FUSION
T2 - 2006 9th International Conference on Information Fusion, FUSION
Y2 - 10 July 2006 through 13 July 2006
ER -