A Minimum Entropy Estimation Based Mobile Positioning Algorithm

The problem of locating a mobile terminal has received significant attention in the field of wireless communications. Mobile positioning problem is made difficult by non-symmetric contamination of measured time of arrival (TOA) data caused by non-line-of- sight (NLOS) propagation. In this paper, a novel robust NLOS error mitigation algorithm based on minimum entropy estimation is proposed without prior knowledge of NLOS error distribution. A performance comparison is done in different channel environment between the proposed algorithm and two additional ones, least-square estimator and Huber estimator, through MATLAB simulation. Results reveal that the proposed algorithm outperforms the other two.