Title :
Multi-sensor diversity in decentralized estimation
Author :
Leong, Alex S. ; Dey, Subhrakanti
Author_Institution :
Dept. of Electr. & Electron. Eng., Univ. of Melbourne, Melbourne, VIC, Australia
Abstract :
This paper derives asymptotic expressions for the expected distortion in the decentralized estimation of a Gaussian source using multiple sensors, as the number of sensors becomes large. We consider a diversity scheme where only the sensor with the best channel sends their measurements to a fusion center, using the analog amplify and fowarding technique. For comparison, asymptotic expressions for a coherent multi-access scheme and an orthogonal access scheme are also derived.
Keywords :
Gaussian processes; diversity reception; multi-access systems; sensor fusion; Gaussian source; coherent multiaccess scheme; decentralized estimation; fowarding technique; fusion center; multisensor diversity; Communication system control; Distortion measurement; Gaussian noise; H infinity control; Process control; Scheduling; Sensor fusion; Signal processing; Wireless communication; Wireless sensor networks;
Conference_Titel :
Communications, Control and Signal Processing (ISCCSP), 2010 4th International Symposium on
Conference_Location :
Limassol
Print_ISBN :
978-1-4244-6285-8
DOI :
10.1109/ISCCSP.2010.5463460
