TY - GEN
T1 - Source localization via randomly distributed sensors
AU - Bergel, Itsik
AU - Noam, Yair
N1 - Publisher Copyright: © 2016 IEEE.
PY - 2016/8/9
Y1 - 2016/8/9
N2 - We present novel lower bounds on the mean-square source-localization error via a network where the sensors are deployed randomly (e.g., scattered from the air). The sensor locations are modeled as a homogenous Poisson point process. We present CRB-type bounds on the expectation of the localization square error, which is not a function of a particular sensor configuration, but rather of the sensor statistics. Thus, it can be evaluated prior to the sensor deployment and provide insights into design issues such as the necessary sensor density. The derived bounds are simple for evaluation, while providing a good prediction of the actual network performance.
AB - We present novel lower bounds on the mean-square source-localization error via a network where the sensors are deployed randomly (e.g., scattered from the air). The sensor locations are modeled as a homogenous Poisson point process. We present CRB-type bounds on the expectation of the localization square error, which is not a function of a particular sensor configuration, but rather of the sensor statistics. Thus, it can be evaluated prior to the sensor deployment and provide insights into design issues such as the necessary sensor density. The derived bounds are simple for evaluation, while providing a good prediction of the actual network performance.
UR - http://www.scopus.com/inward/record.url?scp=84984607527&partnerID=8YFLogxK
U2 - https://doi.org/10.1109/SPAWC.2016.7536794
DO - https://doi.org/10.1109/SPAWC.2016.7536794
M3 - Conference contribution
T3 - IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC
BT - SPAWC 2016 - 17th IEEE International Workshop on Signal Processing Advances in Wireless Communications
T2 - 17th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2016
Y2 - 3 July 2016 through 6 July 2016
ER -