Title :
Robust geo-location in mixed LOS & NLOS environment
Author :
Lim, Chin-Heng ; See, Chong-Meng Samson ; Zoubir, Abdelhak M. ; Lie, Joni Polili
Author_Institution :
Temasek Labs., NTU, Singapore, Singapore
Abstract :
Mitigation of non-line-of-sight (NLOS) errors in the GEO-location problem has received much attention. It is well-known that these errors degrade the robustness and accuracy of GEO-location systems, utilizing time-of-arrival (TOA) measurements. In this paper, we propose a robust adaptive trimming method to mitigate the NLOS errors in location estimation of a single moving sensor. This method is based on a statistical approach to identify and then trim the NLOS errors adaptively. Further enhancements to this basic trimming method are also discussed. Simulation results show an improvement over conventional approaches, for localization of a stationary target, in a mixed LOS and NLOS environment.
Keywords :
radiocommunication; statistical analysis; time-of-arrival estimation; NLOS environment; location estimation; mixed LOS environment; non-line-of-sight error mitigation; robust GEO-location system; robust adaptive trimming method; simulation results; single moving sensor; statistical approach; time-of-arrival measurement; Degradation; Density measurement; Gaussian processes; Intelligent sensors; Noise measurement; Nonlinear equations; Polynomials; Random variables; Robustness; Testing; adaptive trimming; non-line-of-sight errors; polynomial fit; time-of-arrival geo-location;
Conference_Titel :
Statistical Signal Processing, 2009. SSP '09. IEEE/SP 15th Workshop on
Conference_Location :
Cardiff
Print_ISBN :
978-1-4244-2709-3
Electronic_ISBN :
978-1-4244-2711-6
DOI :
10.1109/SSP.2009.5278608
