Multidimensional Scaling Algorithm for Mobile Location Based on Hybrid SADOA/TOA Measurement

The mobile location in wireless communication system becomes a popular issue in recent years. It is commonly used in emergency services, roadside assistance, billing, navigation, psychophysics, behavioral science, etc. Over recent decades, many location algorithms are put forward. However, the algorithms results in inaccurate location estimation due to Non-Line-Of-Sight (NLOS) propagation. This paper proposes the mobile location estimation based on the Received Signal Strength (RSS) and the Time-Of-Arrival (TOA) measurements, via the multidimensional scaling technique (MDS). The algorithm does not require a known and accurate path loss modeling, reduces the impact of NLOS on location. Simulation results show that the algorithm performs well even though in the severe NLOS scenario.