Ultra-Wideband Time-of-Arrival and Angle-of-Arrival Estimation Using Transformation Between Frequency and Time Domain Signals

This paper presents an ultra wideband (UWB) channel sounding scheme with a technique for time of arrival (TOA) and angle of arrival (AOA) estimation using transformation between time and frequency domain signals. Since the measured UWB power spectrum can be transformed into a time domain signal, both frequency and time domain signals are available for the channel estimation. We propose the TOA estimation using a peak search over time domain signal, and the AOA estimation using MUSIC and AOA histograms. The AOA histogram is counted for AOA samples of discrete frequencies over the UWB bandwidth. Comparing both AOA histograms before and after TOA subtraction, we can determine pairing the elements of TOA vector and those of AOA vector. The anechoic chamber tests indicated that both TOAs and AOAs were precisely resolved for two-path model, even if either TOAs or AOAs were too close to resolve.

[1]  Pertti Vainikainen,et al.  Real-time 3-D spatial-temporal dual-polarized measurement of wideband radio channel at mobile station , 2000, IEEE Trans. Instrum. Meas..

[2]  Kobayashi Takehiko,et al.  Ultra-Wideband Channel Estimation Using a Signal Model Based on Measurements , 2007 .

[3]  Moe Z. Win,et al.  Characterization of ultra-wide bandwidth wireless indoor channels: a communication-theoretic view , 2002, IEEE J. Sel. Areas Commun..

[4]  Pei Jung Chung,et al.  Comparative convergence analysis of EM and SAGE algorithms in DOA estimation , 2001, IEEE Trans. Signal Process..

[5]  Urbashi Mitra,et al.  Clustered channel estimation for UWB signals , 2004, 2004 IEEE International Conference on Communications (IEEE Cat. No.04CH37577).

[6]  N. Iwakiri,et al.  Joint TOA and AOA Estimation of UWB Signal Using Time Domain Smoothing , 2007, 2007 2nd International Symposium on Wireless Pervasive Computing.

[7]  Pei Jung Chung,et al.  Recursive EM and SAGE-inspired algorithms with application to DOA estimation , 2005, IEEE Transactions on Signal Processing.

[8]  Takehiko Kobayashi,et al.  Ultra-Wideband Indoor Channel Estimation Using a Signal Model Based on Measurements , 2007 .

[9]  M. Viberg,et al.  Two decades of array signal processing research: the parametric approach , 1996, IEEE Signal Process. Mag..

[10]  Christ D. Richmond,et al.  Capon algorithm mean-squared error threshold SNR prediction and probability of resolution , 2005, IEEE Transactions on Signal Processing.

[11]  Jun-ichi Takada,et al.  A Novel Architecture for MIMO Spatio-Temporal Channel Sounder , 2002 .

[12]  Jun-ichi Takada,et al.  A parametric UWB propagation channel estimation and its performance validation in an anechoic chamber , 2006, IEEE Transactions on Microwave Theory and Techniques.

[13]  Cj Railton,et al.  European Conference on Antennas and Propagation , 2007 .

[14]  K. Bell,et al.  Maximum likelihood approach to joint array detection/estimation , 2004, IEEE Transactions on Aerospace and Electronic Systems.

[15]  Klaus I. Pedersen,et al.  Channel parameter estimation in mobile radio environments using the SAGE algorithm , 1999, IEEE J. Sel. Areas Commun..

[16]  Harry L. Van Trees,et al.  Optimum Array Processing , 2002 .

[17]  Moe Z. Win,et al.  Evaluation of an ultra-wide-band propagation channel , 2002 .

[18]  Rodney A. Kennedy,et al.  Cramer-Rao lower bounds for the time delay estimation of UWB signals , 2004, 2004 IEEE International Conference on Communications (IEEE Cat. No.04CH37577).

[19]  D. Cassioli,et al.  Time domain propagation measurements of the UWB indoor channel using PN-sequence in the FCC-compliant band 3.6-6 GHz , 2005, IEEE Transactions on Antennas and Propagation.