On Energy-Based Acoustic Source Localization for Sensor Networks

Wireless network positioning as a convex feasibility problem

“…To avoid drawbacks in solving NLS, the original nonconvex problem can be relaxed into a semidefinite program [16] or a second-order cone program [17], which can be solved efficiently. Assuming small variance of measurement errors and enough available reference nodes, a linear estimator can also be derived to solve the problem that is asymptotically efficient [13,15,32].…”

“…During the last decade, different solutions have been proposed for the positioning problem for both cooperative and non-cooperative networks, such as the maximum likelihood estimator (ML) [2,8], the maximum a posteriori estimator [9], multidimensional scaling [10], non-linear least squares (NLS) [11,12], linear least squares approaches [13][14][15], and convex relaxation techniques, e.g., semidefinite programming [12,16] and second-order cone programming [17]. In the positioning literature, complexity, accuracy, and robustness are three important factors that are generally used to evaluate the performance of a positioning algorithm.…”

Whistle: Synchronization-Free TDOA for Localization

“…Existing work basically use three types of measurements of acoustic signals: TDOA [24], [19], [32], [9], DOA (direction of arrival) [22], [14], [12], [15] and received signal energy [25], [26], [4], [21], [3].…”

“…In [21], a set of methods based on energy measurement are developed, compared, and contrasted. Particularly, a weighted direct least-squares formulation is presented, which incorporates the dependence of unknown parameters leading to high performance.…”

Sensor models and localization algorithms for sensor networks based on received signal strength

“…Maximum-likelihood (ML) estimators are considered in [6,7] based on the same power law model, but with a fixed and known power law decay exponent. The same holds for [8], but the focus is on least squares based approaches. These works consider a centralized situation, where all measurements are processed at the same location.…”