Abstract
One of the advantages of differential received signal strength (DRSS)-based localization is eliminating the dependence of the source transmitted signal power. Therefore, DRSS is able to handle the passive localization as time difference of arrival (TDOA) does. The recent work of [1] investigated a new model for DRSS measurements, but the proposed methods are suboptimal. This paper focuses on the study of localization using DRSS measurements. A new formulation for DRSS localization of a 2-D source is proposed, which leads to a closed-form estimator through minimizing a constrained optimization problem. The solution applies weighted least squares technology only, achieving the Cramer Rao Bound (CRB) accuracy if the noise is mild. A brief analysis validates that the mean-square error (MSE) attains the CRB in the small noise region. The performance and theoretical result are verified by simulations.
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