A method indoor multi-path IR-UWB location based on multi-task compressive sensing

摘要

In the paper, the ultra-wideband (UWB) localization method based on multi-task compressive sensing (MT-CS) is proposed to solve the UWB localization accuracy performance problem. In the indoor multi-path NLOS environment, the transmission channel pulse response (CIR) is estimated precisely by use of the MT-CS algorithm, and least square error (LSE) algorithm are calculated to estimate the target location. The simulation results illustrate that the MT-CS algorithm compared with the BCS algorithm can estimate the localization more precisely, and approximate the CRLB algorithm. Meanwhile, the MT-CS algorithm possesses advantage to apply in the UWB location.