Dual-tone radio interferometric positioning systems using a single mobile anchor

In this paper, we propose a low-cost dual-tone radio interferometric positioning system using a single mobile anchor, named mDRIPS. There is no synchronization requirement between the mobile anchor and the target. In mDRIPS, the static target continuously transmits a dual-tone signal, and the mobile anchor receives the signal at different positions along its trajectory. The instability of the target clock is taken into account. An ESPRIT-type algorithm is developed to estimate frequencies of the dual-tone signal for the subsequent phase estimation. Furthermore, the time of arrival (TOA) is extracted from the phase estimate of the received dual-tone signal. After measuring several TOAs at different locations along the anchor's trajectory, the target can be located. The mDRIPS is robust to flat-fading channels. Since the frequency difference of the two tones of the dual-tone signal is designed to be smaller than the channel coherence bandwidth, the same fading effect on these two tones can be eliminated. Moreover, we investigate the integer ambiguity problem due to phase wrapping, and develop a localization algorithm to deal with a simplified ambiguity problem. Numerical results demonstrate the efficiency of the proposed mDRIPS.

[1]  Meixia Tao,et al.  Design an asynchronous radio interferometric positioning system using dual-tone signaling , 2013, 2013 IEEE Wireless Communications and Networking Conference (WCNC).

[2]  P. Teunissen,et al.  The least-squares ambiguity decorrelation adjustment: its performance on short GPS baselines and short observation spans , 1997 .

[3]  Brian D. O. Anderson,et al.  Wireless sensor network localization techniques , 2007, Comput. Networks.

[4]  Benjamin R. Hamilton,et al.  Tracking Low-Precision Clocks With Time-Varying Drifts Using Kalman Filtering , 2012, IEEE/ACM Transactions on Networking.

[5]  Thomas Kailath,et al.  ESPRIT-estimation of signal parameters via rotational invariance techniques , 1989, IEEE Trans. Acoust. Speech Signal Process..

[6]  Ákos Lédeczi,et al.  Radio interferometric tracking of mobile wireless nodes , 2007, MobiSys '07.

[7]  Polly Huang,et al.  Spinning beacons for precise indoor localization , 2008, SenSys '08.

[8]  Keith M. Groves,et al.  Measurements and simulation of ionospheric scattering on VHF and UHF radar signals: Coherence times, coherence bandwidths, and S4 , 2009 .

[9]  G.B. Giannakis,et al.  Localization via ultra-wideband radios: a look at positioning aspects for future sensor networks , 2005, IEEE Signal Processing Magazine.

[10]  Miklós Maróti,et al.  Radio interferometric geolocation , 2005, SenSys '05.

[11]  Alan S. Willsky,et al.  An Efficient Message-Passing Algorithm for Optimizing Decentralized Detection Networks , 2010, IEEE Transactions on Automatic Control.