Evaluation of Orthogonal Chirp Division Multiplexing for Automotive Integrated Sensing and Communications

We consider a bistatic vehicular integrated sensing and communications (ISAC) system that employs the recently proposed orthogonal chirp division multiplexing (OCDM) multicarrier waveform. As a stand-alone communications waveform, OCDM has been shown to be robust against the interference in time-frequency selective channels. In a bistatic ISAC, we exploit this property to develop efficient receive processing algorithms that achieve high target resolution as well as high communications rate. We derive statistical bounds for our proposed Sequential symbol decoding and radar parameter estimation (SUNDAE) algorithm and compare its competitive performance with other multicarrier waveforms through numerical experiments.

[1]  Christian Sturm,et al.  Waveform Design and Signal Processing Aspects for Fusion of Wireless Communications and Radar Sensing , 2011, Proceedings of the IEEE.

[2]  Kumar Vijay Mishra,et al.  Doppler-Resilient 802.11ad-Based Ultrashort Range Automotive Joint Radar-Communications System , 2020, IEEE Transactions on Aerospace and Electronic Systems.

[3]  Bjorn Ottersten,et al.  Resource Allocation in Heterogeneously-Distributed Joint Radar-Communications under Asynchronous Bayesian Tracking Framework , 2021 .

[4]  Shinsuke Ibi,et al.  Channel Estimation and Equalization for CP-OFDM-based OTFS in Fractional Doppler Channels , 2020, ArXiv.

[5]  Giuseppe Caire,et al.  On the Effectiveness of OTFS for Joint Radar Parameter Estimation and Communication , 2020, IEEE Transactions on Wireless Communications.

[6]  Symeon Chatzinotas,et al.  Terahertz-Band Joint Ultra-Massive MIMO Radar-Communications: Model-Based and Model-Free Hybrid Beamforming , 2021, IEEE Journal of Selected Topics in Signal Processing.

[7]  Lorenzo Vangelista,et al.  Frequency Shift Chirp Modulation: The LoRa Modulation , 2017, IEEE Signal Processing Letters.

[8]  Klaus Martin Braun,et al.  OFDM Radar Algorithms in Mobile Communication Networks , 2014 .

[9]  Bryan Paul,et al.  Radar-Communications Convergence: Coexistence, Cooperation, and Co-Design , 2017, IEEE Transactions on Cognitive Communications and Networking.

[10]  A. Robert Calderbank,et al.  Orthogonal Time Frequency Space Modulation , 2017, 2017 IEEE Wireless Communications and Networking Conference (WCNC).

[11]  Guihai Chen,et al.  Millimeter-Wave Wireless Communications for IoT-Cloud Supported Autonomous Vehicles: Overview, Design, and Challenges , 2017, IEEE Communications Magazine.

[12]  Bjorn Ottersten,et al.  Toward Millimeter-Wave Joint Radar Communications: A signal processing perspective , 2019, IEEE Signal Processing Magazine.

[13]  Visa Koivunen,et al.  Radar Waveform Optimization for Target Parameter Estimation in Cooperative Radar-Communications Systems , 2019, IEEE Transactions on Aerospace and Electronic Systems.

[14]  Hermann Winner,et al.  Three Decades of Driver Assistance Systems: Review and Future Perspectives , 2014, IEEE Intelligent Transportation Systems Magazine.

[15]  I.D. Longstaff,et al.  Combining MIMO Radar with OFDM Communications , 2006, 2006 European Radar Conference.

[16]  Visa Koivunen,et al.  Generalized Multicarrier Radar: Models and Performance , 2016, IEEE Transactions on Signal Processing.

[17]  Dov Wulich,et al.  Definition of efficient PAPR in OFDM , 2005, IEEE Communications Letters.

[18]  Bjorn Ottersten,et al.  A mmWave Automotive Joint Radar-Communications System , 2019, IEEE Transactions on Aerospace and Electronic Systems.

[19]  Daniel W. Bliss,et al.  Noncontact Vital Sign Detection With UAV-Borne Radars: An Overview of Recent Advances , 2021, IEEE Vehicular Technology Magazine.

[20]  Ayush Bhandari,et al.  Shift-Invariant and Sampling Spaces Associated with the Special Affine Fourier Transform , 2016, Applied and Computational Harmonic Analysis.

[21]  Octavia A. Dobre,et al.  Chirp Spread Spectrum Toward the Nyquist Signaling Rate—Orthogonality Condition and Applications , 2017, IEEE Signal Processing Letters.

[22]  Ch. Ramesh Babu,et al.  Internet of Vehicles: From Intelligent Grid to Autonomous Cars and Vehicular Clouds , 2016 .

[23]  Shannon D. Blunt,et al.  Analysis of symbol-design strategies for intrapulse radar-embedded communications , 2015, IEEE Transactions on Aerospace and Electronic Systems.

[24]  A. Aubry,et al.  A new radar waveform design algorithm with improved feasibility for spectral coexistence , 2015, IEEE Transactions on Aerospace and Electronic Systems.

[25]  Nadav Levanon Multifrequency radar signals , 2000, Record of the IEEE 2000 International Radar Conference [Cat. No. 00CH37037].

[26]  Co-Designing Statistical MIMO Radar and In-band Full-Duplex Multi-User MIMO Communications , 2020, ArXiv.

[27]  Jian Zhao,et al.  Orthogonal Chirp Division Multiplexing , 2016, IEEE Transactions on Communications.

[28]  Bryan Paul,et al.  Survey of RF Communications and Sensing Convergence Research , 2017, IEEE Access.

[29]  Lajos Hanzo,et al.  Joint Radar and Communication Design: Applications, State-of-the-Art, and the Road Ahead , 2019, IEEE Transactions on Communications.