Joint estimation of Time Of Arrival and Power Profile for UWB Localization
In time of arrival (TOA) estimation of received ultrawideband (UWB) pulses, traditional maximum likelihood (ML) and generalized likelihood estimators become impractical due to their high sampling rate. Sub-nyquist ML-based TOA estimation currently assumes a priori knowledge of the UWB channels in the form of the average power delay profile (APDP). In this paper, instead of assuming a known APDP, we propose and investigate a joint estimator of the TOA and the APDP. A parametric model is assumed for the APDP and its parameters are estimated via a least-squares approach; the estimated APDP is then used to find the TOA estimate. The proposed method requires low sampling rate and is well-suited for real-time implementation. Simulation results show that it can achieve a fine accuracy in practical UWB TOA estimation scenarios.
Ultra-wideband (UWB) pulse signals time of arrival (TOA) estimation average power delay profile (APDP) source localization radio frequency identification (RFID)
Fang Shang Benoit Champagne Ioannis Psaromiligkos
Department of Electrical and Computer Engineering, McGill University 3480 University, Montreal, Quebec, Canada, H3A 2A7
国际会议
2010 IEEE 10th International Conference on Signal Processing(第十届信号处理国际会议 ICSP 2010)
北京
英文
1484-1487
2010-08-24(万方平台首次上网日期,不代表论文的发表时间)