On OFDM Ranging Accuracy in Multipath Channels

Wireless networks with ranging and localization capabilities enable new applications. The performance of wireless ranging depends on both the transmission technique and the propagation channel. Understanding such dependence is crucial to the design of high-accuracy ranging algorithms. In this paper, we derive the performance bounds for orthogonal frequency-division multiplexing (OFDM) ranging in multipath channels based on Fisher information analysis. In particular, we determine the equivalent Fisher information for ranging and quantify the effects of signal and channel parameters on the OFDM ranging accuracy. We also illustrate the ranging accuracy for different signal and channel parameters through numerical examples.

[1]  Moe Z. Win,et al.  Ranging With Ultrawide Bandwidth Signals in Multipath Environments , 2009, Proceedings of the IEEE.

[2]  Moe Z. Win,et al.  NLOS identification and mitigation for localization based on UWB experimental data , 2010, IEEE Journal on Selected Areas in Communications.

[3]  Antonio Valdovinos,et al.  Efficient Feedforward Linearization Technique Using Genetic Algorithms for OFDM Systems , 2010, EURASIP J. Adv. Signal Process..

[4]  R.L. Moses,et al.  Locating the nodes: cooperative localization in wireless sensor networks , 2005, IEEE Signal Processing Magazine.

[5]  I. M. Jacobs,et al.  Principles of Communication Engineering , 1965 .

[6]  Anuj Batra,et al.  Multi-band OFDM Physical Layer Proposal , 2003 .

[7]  Moe Z. Win,et al.  Network localization and navigation via cooperation , 2011, IEEE Communications Magazine.

[8]  Maria-Gabriella Di Benedetto,et al.  UWB ranging accuracy in high- and low-data-rate applications , 2006, IEEE Transactions on Microwave Theory and Techniques.

[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]  Ebrahim Saberinia,et al.  Ranging in Multiband Ultrawideband Communication Systems , 2008, IEEE Transactions on Vehicular Technology.

[11]  Ismail Güvenç,et al.  High-Resolution TOA Estimation with Multi-Band OFDM UWB Signals , 2008, 2008 IEEE International Conference on Communications.

[12]  Moe Z. Win,et al.  Network Navigation: Theory and Interpretation , 2012, IEEE Journal on Selected Areas in Communications.

[13]  P. Lombardo,et al.  Lower bounds for ranging accuracy with multi band OFDM and direct sequence UWB signals , 2005, 2005 IEEE International Conference on Ultra-Wideband.

[14]  Liuqing Yang,et al.  Mistiming performance analysis of the energy detection based toa estimator for MB-OFDM , 2009, IEEE Transactions on Wireless Communications.

[15]  R. Gallager.  Principles of Digital Communication , 2008 .

[16]  Moe Z. Win,et al.  On the accuracy of localization systems using wideband antenna arrays , 2010, IEEE Transactions on Communications.

[17]  Soummya Kar,et al.  Distributed Sensor Localization in Random Environments Using Minimal Number of Anchor Nodes , 2008, IEEE Transactions on Signal Processing.

[18]  Takehiko Kobayashi,et al.  Proposal for an MB-OFDM UWB system simultaneously undertaking ranging and communications , 2005, 2005 IEEE International Conference on Ultra-Wideband.

[19]  WymeerschHenk,et al.  NLOS identification and mitigation for localization based on UWB experimental data , 2010 .

[20]  Moe Z. Win,et al.  Network Experimentation for Cooperative Localization , 2012, IEEE Journal on Selected Areas in Communications.

[21]  Soummya Kar,et al.  DILAND: An Algorithm for Distributed Sensor Localization With Noisy Distance Measurements , 2009, IEEE Transactions on Signal Processing.

[22]  Kaveh Pahlavan,et al.  Super-resolution TOA estimation with diversity for indoor geolocation , 2004, IEEE Transactions on Wireless Communications.

[23]  Moe Z. Win,et al.  A Machine Learning Approach to Ranging Error Mitigation for UWB Localization , 2012, IEEE Transactions on Communications.

[24]  Michel Fattouche,et al.  OFDM Transmission for Time-Based Range Estimation , 2010, IEEE Signal Processing Letters.

[25]  H. Vincent Poor,et al.  Time Delay Estimation in Cognitive Radio Systems , 2009, ArXiv.

[26]  Moe Z. Win,et al.  Position Error Bound for UWB Localization in Dense Cluttered Environments , 2006, 2006 IEEE International Conference on Communications.

[27]  Pak-Chung Ching,et al.  Time-of-arrival based localization under NLOS conditions , 2006, IEEE Transactions on Vehicular Technology.

[28]  G.R. Aiello,et al.  Design of a multiband OFDM system for realistic UWB channel environments , 2004, IEEE Transactions on Microwave Theory and Techniques.

[29]  Nelson Ray Sollenberger,et al.  Beyond 3G: wideband wireless data access based on OFDM and dynamic packet assignment , 2000, IEEE Commun. Mag..

[30]  H. Vincent Poor,et al.  Time-Delay Estimation in Dispersed Spectrum Cognitive Radio Systems , 2009, 2009 3rd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP).

[31]  Zhu Han,et al.  A MIMO-OFDM channel estimation approach using time of arrivals , 2005, IEEE Transactions on Wireless Communications.

[32]  Laurence Mailaender,et al.  On the Geolocation Bounds for Round-Trip Time-of-Arrival and All Non-Line-of-Sight Channels , 2008, EURASIP J. Adv. Signal Process..

[33]  A.H. Sayed,et al.  Network-based wireless location: challenges faced in developing techniques for accurate wireless location information , 2005, IEEE Signal Processing Magazine.

[34]  U. Mengali,et al.  Performance Limits on Ranging with Cognitive Radio , 2009, 2009 IEEE International Conference on Communications Workshops.

[35]  Moe Z. Win,et al.  Fundamental Limits of Wideband Localization— Part I: A General Framework , 2010, IEEE Transactions on Information Theory.

[36]  Xin Wang,et al.  A TOA-based location algorithm reducing the errors due to non-line-of-sight (NLOS) propagation , 2001, IEEE 54th Vehicular Technology Conference. VTC Fall 2001. Proceedings (Cat. No.01CH37211).

[37]  Moe Z. Win,et al.  Fundamental Limits of Wideband Localization— Part II: Cooperative Networks , 2010, IEEE Transactions on Information Theory.

[38]  Fadhel M. Ghannouchi,et al.  Fundamental Limit of OFDM Range Estimation in a Separable Multipath Environment , 2012, Circuits Syst. Signal Process..

[39]  H. Vincent Poor,et al.  Fundamental limits on time delay estimation in dispersed spectrum cognitive radio systems , 2009, IEEE Transactions on Wireless Communications.

[40]  Moe Z. Win,et al.  Cooperative Localization in Wireless Networks , 2009, Proceedings of the IEEE.

[41]  Yong-Hua Song,et al.  Super-resolution TOA Estimation in OFDM Systems for Indoor Environments , 2007, 2007 IEEE International Conference on Networking, Sensing and Control.