A Taylor-Series-Based Cognitive Location Scheme for Future Wireless Networks

This paper presents a cognitive location scheme based on Taylor-series method (TS-CL) for future wirelss networks . When the location of the destination mobile station (DS) is measured by the network, some extra mobile stations around the DS are involved in and assist the base stations (BSs) to complete the positioning process in TS-CL. The proposed method jointly estimates both DS and the extra mobile stations, named as reference mobile station (RS) in this paper. Moreover, the time-differential-of-arrival (TDOA) estimation between DS and pairs of RSs are measured by short-range communication signal with high accuracy. The high-accuracy short-range measurement information are applied into improving the accuracy of the existing positioning techniques using cellular systems´ signals .According to the theoretic analysis, the Cramer-Rao bound (CRLB) of TS-CL reduces significantly.