TY - GEN
T1 - Distributed estimation over parallel fading channels with channel estimation error
AU - Şenol, Habib
AU - Tepedelenlioglu, Cihan
PY - 2008/9/16
Y1 - 2008/9/16
N2 - We consider distributed estimation of a source observed by sensors in additive Gaussian noise, where the sensors are connected to a fusion center with unknown orthogonal (parallel) flat Rayleigh fading channels. We adopt a two-phase approach of (i) channel estimation with training, and (ii) source estimation given the channel estimates, where the total power is fixed. We prove that allocating half the total power into training is optimal, and show that compared to the perfect channel case, a performance loss of at least 6 dB is incurred. In addition, we show that unlike the perfect channel case, increasing the number of sensors will lead to an eventual degradation in performance. We characterize the optimum number of sensors as a function of the total power and noise statistics. Simulations corroborate our analytical findings.
AB - We consider distributed estimation of a source observed by sensors in additive Gaussian noise, where the sensors are connected to a fusion center with unknown orthogonal (parallel) flat Rayleigh fading channels. We adopt a two-phase approach of (i) channel estimation with training, and (ii) source estimation given the channel estimates, where the total power is fixed. We prove that allocating half the total power into training is optimal, and show that compared to the perfect channel case, a performance loss of at least 6 dB is incurred. In addition, we show that unlike the perfect channel case, increasing the number of sensors will lead to an eventual degradation in performance. We characterize the optimum number of sensors as a function of the total power and noise statistics. Simulations corroborate our analytical findings.
KW - Channel estimation
KW - Distributed estimation
KW - Fading channels
KW - Sensor networks
UR - http://www.scopus.com/inward/record.url?scp=51449085196&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=51449085196&partnerID=8YFLogxK
U2 - 10.1109/ICASSP.2008.4518357
DO - 10.1109/ICASSP.2008.4518357
M3 - Conference contribution
AN - SCOPUS:51449085196
SN - 1424414849
SN - 9781424414840
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - 3305
EP - 3308
BT - 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP
T2 - 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP
Y2 - 31 March 2008 through 4 April 2008
ER -