TY - GEN
T1 - Cooperative compressive power spectrum estimation
AU - Ariananda, Dyonisius Dony
AU - Romero, Daniel
AU - Leus, Geert
PY - 2014
Y1 - 2014
N2 - We examine power spectrum estimation from wide-sense stationary signals received at different wireless sensors. We organize multiple sensors into several groups, where each group estimates the temporal correlation only at particular lags, which are different from group to group. A fusion centre collects all the correlation estimates from different groups of sensors, and uses them to estimate the power spectrum. This reduces the required sampling rate per sensor. We further investigate the conditions required for the system matrix to have full column rank, which allows for a least-squares reconstruction method.
AB - We examine power spectrum estimation from wide-sense stationary signals received at different wireless sensors. We organize multiple sensors into several groups, where each group estimates the temporal correlation only at particular lags, which are different from group to group. A fusion centre collects all the correlation estimates from different groups of sensors, and uses them to estimate the power spectrum. This reduces the required sampling rate per sensor. We further investigate the conditions required for the system matrix to have full column rank, which allows for a least-squares reconstruction method.
UR - http://www.scopus.com/inward/record.url?scp=84907419637&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84907419637&partnerID=8YFLogxK
U2 - 10.1109/SAM.2014.6882349
DO - 10.1109/SAM.2014.6882349
M3 - Conference contribution
AN - SCOPUS:84907419637
SN - 9781479914814
T3 - Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop
SP - 97
EP - 100
BT - 2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop, SAM 2014
PB - IEEE Computer Society
T2 - 2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop, SAM 2014
Y2 - 22 June 2014 through 25 June 2014
ER -