Energy-based collaborative source localization using acoustic microsensor array
EURASIP Journal on Applied Signal Processing
Preprocessing in a tiered sensor network for habitat monitoring
EURASIP Journal on Applied Signal Processing
IEEE Transactions on Signal Processing
Energy based acoustic source localization
IPSN'03 Proceedings of the 2nd international conference on Information processing in sensor networks
Acoustic target tracking using tiny wireless sensor devices
IPSN'03 Proceedings of the 2nd international conference on Information processing in sensor networks
Closed-form estimation of the speed of propagating waves from time measurements
Multidimensional Systems and Signal Processing
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This paper describes two new techniques for the joint estimation of source location and propagation speed using measured time difference of arrival (TDOA) for a sensor array. Previous methods for source location either assumed the array consisted of widely separated subarrays, or used an iterative procedure that required a good initial estimate. The first method directly estimates the source location and propagation speed by converting the solution of a system of nonlinear equations to an overdetermined system of linear equations with two supplemental variables. The second method provides improved estimates by using the solution of the first method as the initial condition for further iteration. The Cramer-Rao Bound (CRB) on the joint estimation is derived, and simulations show the new methods compare favorably to the bound.