Joint OFDM Waveform Design for Communications and Sensing Convergence

This paper discusses waveform design for a joint radar and communication system, where the radar transceiver and the communication transmitter are considered to be the same full-duplex base station. The downlink orthogonal frequency-division multiplexing (OFDM) waveform of the communication system is used also for sensing. Thus, unused subcarriers within the OFDM symbols are exploited for radar purposes and filled up with optimized complex-valued data, so as to minimize the lower bounds of the variances of the delay and Doppler estimates of radar target parameters, while maintaining an acceptable level of performance for the communication system. The results indicate that significant improvements can be made for the radar system, but in compensation, the power allocated for the communication subcarriers needs to be reduced. Thus, a trade-off between the converged systems allows both to operate together with reduced performance degradation.

[1]  Robert Qiu,et al.  OFDM waveform design compromising spectral nulling, side-lobe suppression and range resolution , 2014, 2014 IEEE Radar Conference.

[2]  S. Kay Fundamentals of statistical signal processing: estimation theory , 1993 .

[3]  Sumit Roy,et al.  Spectrum Sharing of Radar and Wi-Fi Networks: The Sensing/Throughput Tradeoff , 2015, IEEE Transactions on Cognitive Communications and Networking.

[4]  Guisheng Liao,et al.  Design of integrated radar and communication system based on MIMO-OFDM waveform , 2010 .

[5]  Mark R. Bell Information theory and radar waveform design , 1993, IEEE Trans. Inf. Theory.

[6]  Urbashi Mitra,et al.  Mutual information based radar waveform design for joint radar and cellular communication systems , 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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

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

[9]  Urbashi Mitra,et al.  Opportunistic Radar Waveform Design in Joint Radar and Cellular Communication Systems , 2014, 2015 IEEE Global Communications Conference (GLOBECOM).

[10]  Visa Koivunen,et al.  Delay estimation method for coexisting radar and wireless communication systems , 2017, 2017 IEEE Radar Conference (RadarConf).

[11]  Taneli Riihonen,et al.  Full-Duplex OFDM Radar With LTE and 5G NR Waveforms: Challenges, Solutions, and Measurements , 2019, IEEE Transactions on Microwave Theory and Techniques.

[12]  Eylem Ekici,et al.  Spectrum sharing methods for the coexistence of multiple RF systems: A survey , 2016, Ad Hoc Networks.

[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]  Christian Sturm,et al.  Maximum likelihood speed and distance estimation for OFDM radar , 2010, 2010 IEEE Radar Conference.

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