Title :
Compressive sensing TDOA for UWB positioning systems
Author :
Yang, Depeng ; Li, Husheng ; Peterson, Gregory D. ; Fathy, Aly
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Univ. of Tennessee, Knoxville, TN, USA
Abstract :
The theory of Compressed Sensing (CS) is applied to Ultra-Wideband (UWB) positioning systems to obtain high resolution UWB pulses and achieve high performance. A Fast Orthogonal Matching Pursuit (FOMP) algorithm is proposed and embedded in the Time Difference Of Arrival (TDOA) algorithm for fast object positioning. Our pipelined FOMP TDOA algorithm outperforms the traditional serial OMP TDOA method. Simulation results have demonstrated that the CS-based UWB positioning system using the FOMP TDOA algorithm has the potential to achieve sub-mm positioning accuracy while still using very low sampling rate ADCs. Additionally, results are not sensitive to the tag location relative to base stations which is unavoidable drawback of geometrical dilution of accuracy in the sequential sampling method.
Keywords :
direction-of-arrival estimation; time-of-arrival estimation; ultra wideband technology; UWB positioning systems; compressed sensing; compressive sensing TDOA; fast object positioning; fast orthogonal matching pursuit algorithm; high resolution UWB pulses; pipelined FOMP TDOA algorithm; serial OMP TDOA method; time difference of arrival; ultra-wideband positioning systems; Accuracy; Base stations; Compressed sensing; Indexes; Matching pursuit algorithms; Signal reconstruction;
Conference_Titel :
Radio and Wireless Symposium (RWS), 2011 IEEE
Conference_Location :
Phoenix, AZ
Print_ISBN :
978-1-4244-7687-9
DOI :
10.1109/RWS.2011.5725485