Semi-blind channel estimation for joint communication and positioning

In this contribution, semi-blind channel estimation for joint communication and positioning (JCAP) is proposed. The concept is based on a unified signal architecture. Within this framework channel estimation is the core part, since it links communication and positioning algorithms. Thus, channel estimation serves twofold purposes: Firstly, it is inherently required for data detection and secondly it is employed to estimate positioning relevant information like the time of arrival (TOA). JCAP aims at exploiting synergetic effects. Employing semi-blind channel estimation is beneficial in this context, since it allows to assimilate the estimated communication data as virtual training.

[1]  Peter A. Hoeher,et al.  Multi-layer interleave-division multiple access: theory and practice , 2008, Eur. Trans. Telecommun..

[2]  Simon Plass,et al.  The WHERE Project – Combining Wireless Communications and Navigation , 2008 .

[3]  Zhigang Cao,et al.  Channel estimation for OFDM transmission in multipath fading channels based on parametric channel modeling , 2001, IEEE Trans. Commun..

[4]  Ronald Raulefs,et al.  Combining Wireless Communications and Navigation -The WHERE Project , 2008, 2008 IEEE 68th Vehicular Technology Conference.

[5]  Pierre Duhamel,et al.  Subspace-based blind and semi-blind channel estimation for OFDM systems , 2002, IEEE Trans. Signal Process..

[6]  Reinhold Häb-Umbach,et al.  A Novel Similarity Measure for Positioning Cellular Phones by a Comparison With a Database of Signal Power Levels , 2007, IEEE Transactions on Vehicular Technology.

[7]  Peter A. Hoeher,et al.  Performance limits of channel parameter estimation for joint communication and positioning , 2012, EURASIP J. Adv. Signal Process..

[8]  Sailes K. Sengijpta Fundamentals of Statistical Signal Processing: Estimation Theory , 1995 .

[9]  Shahid Ali,et al.  A Novel Indoor Location Sensing Mechanism for IEEE 802.11 b/g Wireless LAN , 2007, 2007 4th Workshop on Positioning, Navigation and Communication.

[10]  Arogyaswami Paulraj,et al.  Joint angle and delay estimation using shift-invariance techniques , 1998, IEEE Trans. Signal Process..

[11]  Kathrin Schreiber,et al.  Joint Communication and Positioning based on Interleave-Division Multiplexing , 2013 .

[12]  Peter A. Hoeher,et al.  Joint channel and parameter estimation for combined communication and navigation using particle swarm optimization , 2010, 2010 7th Workshop on Positioning, Navigation and Communication.

[13]  S.K. Wilson,et al.  On channel estimation in OFDM systems , 1995, 1995 IEEE 45th Vehicular Technology Conference. Countdown to the Wireless Twenty-First Century.

[14]  Peter A. Hoeher,et al.  Iterative Pilot-Layer Aided Channel Estimation with Emphasis on Interleave-Division Multiple Access Systems , 2006, EURASIP J. Adv. Signal Process..

[15]  Li Ping Interleave-division multiple access and chip-by-chip iterative multi-user detection , 2005 .

[16]  Linus Maurer,et al.  System Considerations for a Combined UMTS/GNSS Receiver , 2007, 2007 4th Workshop on Positioning, Navigation and Communication.

[17]  Stuart C. Schwartz,et al.  EM-Based Channel Estimation Algorithms for OFDM , 2004, EURASIP J. Adv. Signal Process..