Tightly-Coupled Opportunistic Navigation for Deep Urban and Indoor Positioning

A strategy is presented for exploiting the frequency stability, transmit location, and timing information of ambient radio-frequency “signals of opportunity” for the purpose of navigating in deep urban and indoor environments. The strategy, referred to as tightly-coupled opportunistic navigation (TCON), involves a receiver continually searching for signals from which to extract navigation and timing information. The receiver begins by characterizing these signals, whether downloading characterizations from a collaborative online database or performing characterizations on-the-fly. Signal observables are subsequently combined within a central estimator to produce an optimal estimate of position and time. A simple demonstration of the TCON strategy focused on timing shows that a TCONenabled receiver can characterize and use CDMA cellular signals to correct its local clock variations, allowing it to coherently integrate GNSS signals beyond 100 seconds.

[1]  Sheng Zhang,et al.  A Wi-Fi/GPS integrated system for urban vehicle positioning , 2010, 13th International IEEE Conference on Intelligent Transportation Systems.

[2]  Todd E. Humphreys,et al.  Opportunistic Frequency Stability Transfer for Extending the Coherence Time of GNSS Receiver Clocks , 2010 .

[3]  Mathieu Joerger,et al.  Iridium/GPS Carrier Phase Positioning and Fault Detection Over Wide Areas , 2009 .

[4]  Todd E. Humphreys,et al.  Exploiting Multicore Technology in Software-Defined GNSS Receivers , 2009 .

[5]  R.W. Rowe,et al.  Enhanced GPS: The tight integration of received cellular timing signals and GNSS receivers for ubiquitous positioning , 2008, 2008 IEEE/ION Position, Location and Navigation Symposium.

[6]  Todd E. Humphreys,et al.  GNSS Receiver Implementation on a DSP: Status, Challenges, and Prospects , 2006 .

[7]  E.J. Ohlmeyer,et al.  Analysis of an Ultra-Tightly Coupled GPS/INS System in Jamming , 2006, 2006 IEEE/ION Position, Location, And Navigation Symposium.

[8]  P. Enge,et al.  Performance of Hybrid Positioning System Combining GPS and Television Signals , 2006, 2006 IEEE/ION Position, Location, And Navigation Symposium.

[9]  M. Psiaki Backward-Smoothing Extended Kalman Filter , 2005 .

[10]  Mark L. Psiaki,et al.  Modeling, Analysis, and Simulation of GPS Carrier Phase for Spacecraft Relative Navigation , 2005 .

[11]  Simon Haykin,et al.  Cognitive radio: brain-empowered wireless communications , 2005, IEEE Journal on Selected Areas in Communications.

[12]  Y. Bar-Shalom,et al.  A recursive multiple model approach to noise identification , 1994 .

[13]  Mark Petovello What are vector tracking loops , and what are their benefits and drawbacks ? , 2022 .