Approximate Maximum Likelihood Mobile Localization Using Scatterer Information
A novel single base station based localization technique is proposed. Starting from the probability density function of the scatterers' distribution around the mobile station, the authors apply the maximum likelihood estimator. The mobile location estimate is then approximated iteratively starting from a set of nonlinear equations. Simulation results show that the technique herein can enhance mobile positioning accuracy by as much as 40% (for certain scattering environments). In addition, the performance of the proposed approximate maximum likelihood technique can be further improved when accurate Angle-Of-Arrival (AOA) data is used.