Timestamp Estimation in P802.15.4z Amendment †

Due to the known issue that the ranging in the 802.15.4™-2015 standard is prone to external attacks, the enhanced impulse radio (EiR), a new amendment still under development, advances the secure ranging protocol by encryption of physical layer (PHY) timestamp sequence using the AES-128 encryption algorithm. This new amendment brings many changes and enhancements which affect the impulse-radio ultra-wideband (IR-UWB) ranging procedures. The timestamp detection is the base factor in the accuracy of range estimation and inherently in the localization precision. This paper analyses the key parts of PHY which have a great contribution in timestamp estimation precision, particularly: UWB pulse, channel sounding and timestamp estimation using ciphered sequence and frequency selective fading. Unlike EiR, where the UWB pulse is defined in the time domain, in this article, the UWB pulse is synthesized from the power spectral density mask, and it is shown that the use of the entire allocated spectrum results in a decrease in risetime, an increase in pulse amplitude, and an attenuation of lateral lobes. The paper proposes a random spreading of the scrambled timestamp sequence (STS), resulting in an improvement in timestamp estimation by the attenuation lateral lobes of the correlation. The timestamp estimation in the noisy channels with non-line-of-sight and multipath propagation is achieved by cross-correlation of the received STS with the locally generated replica of STS. The propagation in the UWB channel with frequency selective fading results in small errors in the timestamp detection.

[1]  Pingzhi Fan,et al.  Existence of ternary perfect sequences with a few zero elements , 2011, Proceedings of the Fifth International Workshop on Signal Design and Its Applications in Communications.

[2]  Hisashi Kobayashi,et al.  On time-of-arrival positioning in a multipath environment , 2004, IEEE 60th Vehicular Technology Conference, 2004. VTC2004-Fall. 2004.

[3]  A. S. Madhukumar,et al.  Pulse shaping functions for UWK systems , 2008, IEEE Transactions on Wireless Communications.

[4]  Hend Suliman Al-Khalifa,et al.  Ultra Wideband Indoor Positioning Technologies: Analysis and Recent Advances † , 2016, Sensors.

[5]  Emanuel Radoi,et al.  A Statistical Analysis of Multipath Interference for Impulse Radio UWB Systems , 2014, J. Frankl. Inst..

[6]  Sanjay Sharma,et al.  Spectral efficient pulse shape design for UWB communication with reduced ringing effect and performance evaluation for IEEE 802.15.4a channel , 2019, Wirel. Networks.

[7]  Albert Y. Zomaya,et al.  Location of Things (LoT): A Review and Taxonomy of Sensors Localization in IoT Infrastructure , 2018, IEEE Communications Surveys & Tutorials.

[8]  Francisco Falcone,et al.  Effects of the Body Wearable Sensor Position on the UWB Localization Accuracy , 2019, Electronics.

[9]  Mounir Samet,et al.  Design and Optimization of Dual-Band Energy-Efficient OOK UWB Transmitter Via PSO Algorithm , 2020, J. Circuits Syst. Comput..

[10]  Georgios B. Giannakis,et al.  Optimal waveform design for UWB radios , 2004, IEEE Transactions on Signal Processing.

[11]  Pedro Figueiredo Silva,et al.  Wireless Positioning in IoT: A Look at Current and Future Trends , 2018, Sensors.

[12]  Laura Fernández-Robles,et al.  Accuracy Analysis in Sensor Networks for Asynchronous Positioning Methods , 2019, Sensors.

[13]  Srdjan Capkun,et al.  Relay Attacks on Passive Keyless Entry and Start Systems in Modern Cars , 2010, NDSS.

[14]  Fekher Khelifi,et al.  A Survey of Localization Systems in Internet of Things , 2018, Mobile Networks and Applications.

[15]  Jochen Seitz,et al.  UWB Channel Impulse Responses for Positioning in Complex Environments: A Detailed Feature Analysis † , 2019, Sensors.

[16]  Pavel Masek,et al.  An Overview of the IEEE 802.15.4z Standard its Comparison and to the Existing UWB Standards , 2019, 2019 29th International Conference Radioelektronika (RADIOELEKTRONIKA).

[17]  Leandro N. Balico,et al.  Localization Prediction in Vehicular Ad Hoc Networks , 2018, IEEE Communications Surveys & Tutorials.

[18]  Srdjan Capkun,et al.  UWB with Pulse Reordering: Securing Ranging against Relay and Physical Layer Attacks , 2018, IACR Cryptol. ePrint Arch..

[19]  Phillipp Meister,et al.  Statistical Signal Processing Detection Estimation And Time Series Analysis , 2016 .

[20]  Hossein Khoshbin,et al.  A PSO-Based UWB Pulse Waveform Design Method , 2010, 2010 Second International Conference on Computer and Network Technology.

[21]  Mehrdad Dianati,et al.  A Survey of the State-of-the-Art Localization Techniques and Their Potentials for Autonomous Vehicle Applications , 2018, IEEE Internet of Things Journal.

[22]  Chia-Chin Chong,et al.  A Comprehensive Standardized Model for Ultrawideband Propagation Channels , 2006, IEEE Transactions on Antennas and Propagation.

[23]  D. Baranauskas,et al.  A 0.36W 6b up to 20GS/s DAC for UWB Wave Formation , 2006, 2006 IEEE International Solid State Circuits Conference - Digest of Technical Papers.

[24]  Gianluca Dini,et al.  On the Feasibility of Overshadow Enlargement Attack on IEEE 802.15.4a Distance Bounding , 2014, IEEE Communications Letters.

[25]  Bin Li,et al.  Optimal Waveforms Design for Ultra-Wideband Impulse Radio Sensors , 2010, Sensors.

[26]  Gonzalo Seco-Granados,et al.  Network Design for Accurate Vehicle Localization , 2019, IEEE Transactions on Vehicular Technology.

[27]  Dong-Seong Kim,et al.  Ultrawideband Network Channel Models for Next-Generation Wireless Avionic System , 2020, IEEE Transactions on Aerospace and Electronic Systems.

[28]  Xuanli Wu,et al.  Multipath interference analysis of IR-UWB systems in indoor office LOS environment , 2011, 2011 6th International ICST Conference on Communications and Networking in China (CHINACOM).