Source Localization Using TDOA Measurements From Underwater Acoustic Sensor Networks
Yanbin Zou, Jingna Fan
Abstract
In this letter, we investigate the problem of time-difference-of-arrival localization with unknown signal propagation speed in underwater acoustic sensor networks. Although the state-of-the-art semidefinite programming (SDP)-based algorithm has good accuracy, its computational complexity is huge. We develop a two-step algorithm to estimate the source position and signal propagation speed. It not only has better accuracy than the SDP-based algorithm but also has much less computational complexity. The first step of the proposed algorithm is a least squares estimator, and the second step of the proposed algorithm is a fixed point iteration estimator. Numerical simulations validate that the proposed algorithm is superior to the SDP algorithm and reaches the Cramér–Rao lower bounds.