Linear quadrature optimisation-based non-coherent time of arrival estimation scheme for impulse radio ultra-wideband systems

Owing to the extremely high-time resolution of impulse radio ultra-wideband (IR-UWB), time of arrival (TOA) estimation has been an important and tempting issue of this technology ever since its emergence. Conventional TOA estimation (TOAE) schemes require prohibitively high sampling rate and a priori knowledge of the received signal, and hence render a practical implementation rigorous or even infeasible. To tackle these drawbacks, this paper proposes a low-complexity energy detection-based non-coherent TOAE scheme, which is composed of two processing stages: initial signal acquisition (ISA) and fine timing estimation (FTE). In the ISA stage, a linear quadrature optimisation (LQO)-based weighting scheme is proposed to coarsely capture the arrival of the IR-UWB signals. Capitalising on the acquisition of the IR-UWB signal in a relatively short time range, the authors then develop in the FTE stage, a double-threshold test (DTT) tailored for locating the leading edge of the IR-UWB signal. Simulations illustrate that the LQO algorithm yields a considerably increased probability of seizing the arrival of the IR-UWB signals in a blind manner, and the DTT strategy significantly ameliorates the TOAE accuracy in terms of mean absolute error, compared with the conventional energy detection-based TOAE methods.

[1]  A. Rabbachin,et al.  ML Time-of-Arrival estimation based on low complexity UWB energy detection , 2006, 2006 IEEE International Conference on Ultra-Wideband.

[2]  H. Saarnisaari,et al.  Double-threshold based narrowband signal extraction , 2005, 2005 IEEE 61st Vehicular Technology Conference.

[3]  H. Urkowitz Energy detection of unknown deterministic signals , 1967 .

[4]  Sinan Gezici,et al.  Ultra Wideband Geolocation , 2005 .

[5]  Benoit Denis,et al.  Impact of NLOS propagation upon ranging precision in UWB systems , 2003, IEEE Conference on Ultra Wideband Systems and Technologies, 2003.

[6]  Ismail Güvenç,et al.  Multiscale energy products for TOA estimation in IR-UWB systems , 2005, GLOBECOM '05. IEEE Global Telecommunications Conference, 2005..

[7]  Brian M. Sadler,et al.  Weighted energy detection of ultra-wideband signals , 2005, IEEE 6th Workshop on Signal Processing Advances in Wireless Communications, 2005..

[8]  I. Guvenc,et al.  Threshold-based TOA estimation for impulse radio UWB systems , 2005, 2005 IEEE International Conference on Ultra-Wideband.

[9]  I. Guvenc,et al.  TOA estimation for IR-UWB systems with different transceiver types , 2006, IEEE Transactions on Microwave Theory and Techniques.

[10]  Y. Jay Guo,et al.  Peak and leading edge detection for time-of-arrival estimation in band-limited positioning systems , 2009, IET Commun..

[11]  Markku J. Juntti,et al.  Analysis of the LAD Methods , 2008, IEEE Signal Processing Letters.

[12]  Robert A. Scholtz,et al.  Ranging in a dense multipath environment using an UWB radio link , 2002, IEEE J. Sel. Areas Commun..

[13]  Haige Xiang,et al.  Weighted noncoherent receivers for UWB PPM signals , 2006, IEEE Communications Letters.

[14]  Umberto Mengali,et al.  Energy-Detection UWB Receivers with Multiple Energy Measurements , 2007, IEEE Transactions on Wireless Communications.