TY - GEN
T1 - Joint detection and localization in sensor networks based on local decisions
AU - Niu, Ruixin
AU - Varshney, Pramod K.
PY - 2006
Y1 - 2006
N2 - A generalized likelihood ratio test (GLRT) based decision fusion method that uses quantized data from local sensors is proposed to jointly detect and localize a target in a wireless sensor field. The signal intensity is assumed to be inversely proportional to a power of the distance from the target. The GLRT, its corresponding maximum likelihood (ML) estimator, and the Cramér-Rao lower bound (CRLB) are derived. Simulation results show that this fusion rule has a significantly improved detection performance, compared with the counting rule (for hard local decisions) or the intuitive fusion rules based on the average of sensor data (for soft local decisions).
AB - A generalized likelihood ratio test (GLRT) based decision fusion method that uses quantized data from local sensors is proposed to jointly detect and localize a target in a wireless sensor field. The signal intensity is assumed to be inversely proportional to a power of the distance from the target. The GLRT, its corresponding maximum likelihood (ML) estimator, and the Cramér-Rao lower bound (CRLB) are derived. Simulation results show that this fusion rule has a significantly improved detection performance, compared with the counting rule (for hard local decisions) or the intuitive fusion rules based on the average of sensor data (for soft local decisions).
UR - http://www.scopus.com/inward/record.url?scp=47049104411&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=47049104411&partnerID=8YFLogxK
U2 - 10.1109/ACSSC.2006.354803
DO - 10.1109/ACSSC.2006.354803
M3 - Conference contribution
AN - SCOPUS:47049104411
SN - 1424407850
SN - 9781424407859
T3 - Conference Record - Asilomar Conference on Signals, Systems and Computers
SP - 525
EP - 529
BT - Conference Record of the 40th Asilomar Conference on Signals, Systems and Computers, ACSSC '06
T2 - 40th Asilomar Conference on Signals, Systems, and Computers, ACSSC '06
Y2 - 29 October 2006 through 1 November 2006
ER -