OFDM-based Joint Radar-Communication System: Optimal Sub-carrier Allocation and Power Distribution by Exploiting Mutual Information

In this paper, we present a novel joint radar-communication system which exploits orthogonal frequency division multiplexing (OFDM) waveforms for performing radar and communication operations simultaneously. A dual-purpose OFDM transmitter is exploited which optimizes the transmit power of different sub-carriers to fulfill the radar objectives. These OFDM sub-carriers used by the radar are also allocated to different communication receivers to achieve the communications objectives. The mutual information (MI) between the frequency-dependent target response and the transmit waveform is used as the optimization objective for radar performance. The communication performance is optimized by allocating the radar sub-carriers to different communication users by using MI maximization as the criterion. For the communication system, the problem has been discussed in terms of maximizing the overall MI as well as achieving the worst-case MI for each user. Two optimization strategies are discussed and compared which optimize the two systems respectively using a radar-centric design and a cooperative design. Simulation results illustrate the performance of the proposed strategies.

[1]  A. De Maio,et al.  Design Principles of MIMO Radar Detectors , 2007, IEEE Transactions on Aerospace and Electronic Systems.

[2]  Rick S. Blum,et al.  MIMO radar waveform design based on mutual information and minimum mean-square error estimation , 2007, IEEE Transactions on Aerospace and Electronic Systems.

[3]  Antonio De Maio,et al.  Intrapulse radar-embedded communications via multiobjective optimization , 2015, IEEE Transactions on Aerospace and Electronic Systems.

[4]  Shannon D. Blunt,et al.  Performance Characteristics and Metrics for Intra-Pulse Radar-Embedded Communication , 2011, IEEE Journal on Selected Areas in Communications.

[5]  Syed A. Hamza,et al.  Hybrid Sparse Array Design for Under-determined Models , 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[6]  Shannon D. Blunt,et al.  Embedding information into radar emissions via waveform implementation , 2010, 2010 International Waveform Diversity and Design Conference.

[7]  Braham Himed,et al.  Adaptive Radar Beamforming for Interference Mitigation in Radar-Wireless Spectrum Sharing , 2015, IEEE Signal Processing Letters.

[8]  B. Tavli,et al.  Spectrum sharing in radar and wireless communication systems: A review , 2014, 2014 International Conference on Electromagnetics in Advanced Applications (ICEAA).

[9]  Moeness G. Amin,et al.  Signaling strategies for dual-function radar communications: an overview , 2016, IEEE Aerospace and Electronic Systems Magazine.

[10]  Braham Himed,et al.  Interference Mitigation Processing for Spectrum-Sharing Between Radar and Wireless Communications Systems , 2013, IEEE Transactions on Aerospace and Electronic Systems.

[11]  Brian D. Rigling,et al.  Ambiguity Function Analysis for Dual-Function Radar Communications Using PSK Signaling , 2018, 2018 52nd Asilomar Conference on Signals, Systems, and Computers.

[12]  Bernard Uguen,et al.  Dual function radar communication Time-modulated array , 2014, 2014 International Radar Conference.

[13]  Yimin D. Zhang,et al.  Information-Theoretic Pilot Design for Downlink Channel Estimation in FDD Massive MIMO Systems , 2019, IEEE Transactions on Signal Processing.

[14]  Athina P. Petropulu,et al.  On Radar Privacy in Shared Spectrum Scenarios , 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[15]  Moeness G. Amin,et al.  Sparse transmit array design for dual-function radar communications by antenna selection , 2018, Digit. Signal Process..

[16]  Laurent Savy,et al.  Challenge problems in spectrum engineering and waveform diversity , 2013, 2013 IEEE Radar Conference (RadarCon13).

[17]  Visa Koivunen,et al.  Multicarrier Radar-communications Waveform Design for RF Convergence and Coexistence , 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[18]  Yimin D. Zhang,et al.  Spectrum Sharing Strategy for Radio Frequency-Based Medical Services , 2019, 2019 IEEE Signal Processing in Medicine and Biology Symposium (SPMB).

[19]  Yimin Zhang,et al.  Dual-Function Radar-Communications: Information Embedding Using Sidelobe Control and Waveform Diversity , 2016, IEEE Transactions on Signal Processing.

[20]  Urbashi Mitra,et al.  Radar waveform design in spectrum sharing environment: Coexistence and cognition , 2015, 2015 IEEE Radar Conference (RadarCon).

[21]  Guisheng Liao,et al.  Adaptive OFDM Integrated Radar and Communications Waveform Design Based on Information Theory , 2017, IEEE Communications Letters.

[22]  J. R. Guerci,et al.  Joint design and operation of shared spectrum access for radar and communications , 2015, 2015 IEEE Radar Conference (RadarCon).

[23]  Ammar Ahmed,et al.  Dual-function radar-communications using QAM-based sidelobe modulation , 2018, Digit. Signal Process..

[24]  Braham Himed,et al.  Distributed Dual-Function Radar-Communication MIMO System with Optimized Resource Allocation , 2019, 2019 IEEE Radar Conference (RadarConf).

[25]  Daniel W. Bliss,et al.  Cooperative radar and communications signaling: The estimation and information theory odd couple , 2014, 2014 IEEE Radar Conference.

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

[27]  Braham Himed,et al.  Multi-user dual-function radar-communications exploiting sidelobe control and waveform diversity , 2018, 2018 IEEE Radar Conference (RadarConf18).

[28]  Thomas Zwick,et al.  An OFDM System Concept for Joint Radar and Communications Operations , 2009, VTC Spring 2009 - IEEE 69th Vehicular Technology Conference.

[29]  Christos Masouros,et al.  Toward Dual-functional Radar-Communication Systems: Optimal Waveform Design , 2017, IEEE Transactions on Signal Processing.