Ultra-Wideband : Past , Present and Future White Paper

Foreword This White Paper represents the outcome of EUWB, a major research project supported by the European Commission dedicated to exploring the enormous economic potential of ultra-wideband (UWB) radio technology for key European industrial sectors. The objective of this document is to offer a comprehensive yet concise account of the innovative and disruptive potential of UWB. Specifically, it will address the history, unique legal framework and fundamental challenges of UWB, as well as the difficulties that it has faced from the technical regulatory and standardisation perspectives. Finally, the driving forces and future applications that will bring UWB to the wider market, including the latest product developments and market trends, will be described. Traditional radio communications system designs are based on the assumption that the received signal is an attenuated replica of the transmitted signal mainly degraded by the radio channel characteristics and thermal noise in the receiver. This holds true while the number of radio services and transmitting devices remains limited, which was the case for a relatively long period of time during the last century. System separation was realised using non-adaptive traditional analogue filters with their inherently low degree of flexibility. Consequently, frequency spectrum regulatory policy favoured the granting of exclusive frequency rights to dedicated radio services valid for long periods of time. Following on from this precedent, current radio frequency regulation is still based on frequency separations which are allocated for long periods (tens of years). With the introduction of bi-directional cellular radio systems into the mass market the system design situation has changed significantly. The system design paradigm now takes additional signals, including interference into account. Interference from adjacent channels allocated to nearby users (due to non-ideal filters) and neighbouring fixed transmitters (due to frequency re-use in cellular systems) is considered in general to be inevitable and is taken into account in system design and rollout. This so called intra-system interference is accepted by the radio service provider (operator) mainly due to the fact, that he can strictly control this interference by means of network planning, intelligent resource allocation and traffic load control. Therefore, it is relatively easy for the operator to guarantee a desired link quality and thus a certain quality of service (QoS) for the customer. Determination of the appropriate link margin during network planning is the major technique used to achieve the required QoS. Today's modern digital radio services such as digital audio and …

[1]  Joseph Shmuel Picard,et al.  Network Localization with Biased Range Measurements , 2008, IEEE Transactions on Wireless Communications.

[2]  Joel W. Burdick,et al.  An MHT algorithm for UWB radar-based multiple human target tracking , 2009, 2009 IEEE International Conference on Ultra-Wideband.

[3]  G. Abreu,et al.  Reformulating the least-square source localization problem with contracted distances , 2009, 2009 Conference Record of the Forty-Third Asilomar Conference on Signals, Systems and Computers.

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

[5]  Yinyu Ye,et al.  Semidefinite programming based algorithms for sensor network localization , 2006, TOSN.

[6]  Kai-Ten Feng,et al.  An efficient geometry-constrained location estimation algorithm for NLOS environments , 2005, 2005 International Conference on Wireless Networks, Communications and Mobile Computing.

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

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

[9]  Joseph Mitola,et al.  Cognitive radio: making software radios more personal , 1999, IEEE Wirel. Commun..

[10]  Dusan Kocur,et al.  Data fusion from UWB radar network: Preliminary experimental results , 2011, Proceedings of 21st International Conference Radioelektronika 2011.

[11]  Feng Zheng,et al.  An Overview of Ultra-Wide-Band Systems With MIMO , 2009, Proceedings of the IEEE.

[12]  Moe Z. Win,et al.  Time of Arrival Estimation for UWB Localizers in Realistic Environments , 2006, EURASIP J. Adv. Signal Process..

[13]  Ying Zhang,et al.  Localization from mere connectivity , 2003, MobiHoc '03.

[14]  Giuseppe Thadeu Freitas de Abreu,et al.  Improving source localization in NLOS conditions via ranging contraction , 2010, 2010 7th Workshop on Positioning, Navigation and Communication.

[15]  Jun Zhang,et al.  LCC-Rwgh: A NLOS Error Mitigation Algorithm for Localization in Wireless Sensor Network , 2007, 2007 IEEE International Conference on Control and Automation.

[16]  Jian Li,et al.  Exact and Approximate Solutions of Source Localization Problems , 2008, IEEE Transactions on Signal Processing.

[17]  Alain Gaugue,et al.  Through the wall detection and localization of a moving target with a bistatic UWB radar system , 2010, The 7th European Radar Conference.

[18]  Risto Nordman Soft decision decoding of the orthogonal complex MIMO codes for three and four transmit antennas , 2012, Phys. Commun..

[19]  Davide Dardari,et al.  Efficient and accurate localization in multihop networks , 2009, 2009 Conference Record of the Forty-Third Asilomar Conference on Signals, Systems and Computers.

[20]  Chin-Tau A. Lea,et al.  Received Signal Strength-Based Wireless Localization via Semidefinite Programming: Noncooperative and Cooperative Schemes , 2010, IEEE Transactions on Vehicular Technology.

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

[22]  Chadi Abou-Rjeily,et al.  Pulse antenna permutation and pulse antenna modulation: two novel diversity schemes for achieving very high data-rates with unipolar MIMO-UWB communications , 2009, IEEE Journal on Selected Areas in Communications.

[23]  Michael C. Hout,et al.  Multidimensional Scaling , 2003, Encyclopedic Dictionary of Archaeology.

[24]  Branka Vucetic,et al.  Simulated Annealing based Wireless Sensor Network Localization with Flip Ambiguity Mitigation , 2006, 2006 IEEE 63rd Vehicular Technology Conference.

[25]  Ekram Hossain,et al.  Dynamic Spectrum Access and Management in Cognitive Radio Networks , 2009 .

[26]  Sergio Bovelli,et al.  Wireless in-cabin communication for aircraft infrastructure , 2013, Telecommun. Syst..

[27]  G.H. Bruck,et al.  The Cognitive Radio paradigm for Ultra-Wideband systems: The European Project EUWB , 2008, 2008 IEEE International Conference on Ultra-Wideband.

[28]  Imrich Chlamtac,et al.  Spectrum Sensing for Cognitive Radios with Transmission Statistics: Considering Linear Frequency Sweeping , 2010, EURASIP J. Wirel. Commun. Netw..

[29]  G. Destino,et al.  Solving the Source Localization Problem via Global Distance Continuation , 2009, 2009 IEEE International Conference on Communications Workshops.

[30]  P.N. Pathirana,et al.  Bearing-Only Localization using Geometrically Constrained Optimization , 2009, IEEE Transactions on Aerospace and Electronic Systems.

[31]  R. Kshetrimayum,et al.  An introduction to UWB communication systems , 2009, IEEE Potentials.

[32]  G.F. Ross,et al.  Time-domain electromagnetics and its applications , 1978, Proceedings of the IEEE.

[33]  Y. Jay Guo,et al.  Improved Positioning Algorithms for Nonline-of-Sight Environments , 2008, IEEE Transactions on Vehicular Technology.

[34]  Ismail Güvenç,et al.  Enhancements to Linear Least Squares Localization Through Reference Selection and ML Estimation , 2008, 2008 IEEE Wireless Communications and Networking Conference.

[35]  A.F. Molisch,et al.  Non-coherent TOA estimation in IR-UWB systems with different signal waveforms , 2005 .

[36]  Liuqing Yang,et al.  Analog space-time coding for multiantenna ultra-wideband transmissions , 2004, IEEE Transactions on Communications.

[37]  G. M. Maggio,et al.  Detect and Avoid for UWB-WiMedia: Performance bounds of signal sensing , 2008, 2008 International Conference on Advanced Technologies for Communications.

[38]  Robert W. Brodersen,et al.  Detect and avoid: an ultra-wideband/WiMAX coexistence mechanism [Topics in Radio Communications] , 2007, IEEE Communications Magazine.

[39]  K. J. Ray Liu,et al.  Multiband-OFDM MIMO coding framework for UWB communication systems , 2006, IEEE Transactions on Signal Processing.

[40]  Aarne Mämmelä,et al.  Error performance of PAM systems using energy detection with optimal and suboptimal decision thresholds , 2011, Phys. Commun..

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

[42]  Narayan B. Mandayam,et al.  Dynamic spectrum access models: toward an engineering perspective in the spectrum debate , 2010, IEEE Communications Magazine.

[43]  Gyu-In Jee,et al.  The interior-point method for an optimal treatment of bias in trilateration location , 2006, IEEE Transactions on Vehicular Technology.

[44]  Yong Liang Guan,et al.  Localization of passive target based on UWB backscattering range measurement , 2009, 2009 IEEE International Conference on Ultra-Wideband.

[45]  Neal Patwari,et al.  Distributed Multidimensional Scaling with Adaptive Weighting for Node Localization in Sensor Networks , 2004 .

[46]  Yifeng Zhou,et al.  Constrained linear least squares approach for TDOA localization: A global optimum solution , 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

[47]  Alfred Mertins,et al.  Space-Time-Frequency Code implementation in MB-OFDM UWB communications: Design criteria and performance , 2009, IEEE Transactions on Wireless Communications.

[48]  Gianmarco Baldini,et al.  Experimentally detecting IEEE 802.11n Wi-Fi based on cyclostationarity features for ultra-wide band cognitive radios , 2009, 2009 IEEE 20th International Symposium on Personal, Indoor and Mobile Radio Communications.

[49]  Nathan Krislock,et al.  Sensor network localization, euclidean distance matrix completions, and graph realization , 2008, MELT '08.

[50]  Wheeler Ruml,et al.  Improved MDS-based localization , 2004, IEEE INFOCOM 2004.

[51]  Rudolf Zetik,et al.  Target localization by a multistatic UWB radar , 2010, 20th International Conference Radioelektronika 2010.

[52]  R. Michael Buehrer,et al.  NLOS Mitigation Using Linear Programming in Ultrawideband Location-Aware Networks , 2007, IEEE Transactions on Vehicular Technology.

[53]  Pi-Chun Chen,et al.  A non-line-of-sight error mitigation algorithm in location estimation , 1999, WCNC. 1999 IEEE Wireless Communications and Networking Conference (Cat. No.99TH8466).