A Multicarrier Phase-Coded Waveform Design Scheme for Joint Radar and Communication System

DU Zhen; ZHANG Zenghui; YU Wenxian

doi:10.1049/cje.2021.05.020

Volume 30 Issue 4

Jul. 2021

Turn off MathJax

Article Contents

Article Navigation > Chinese Journal of Electronics > 2021 > 30(4): 769-780

DU Zhen, ZHANG Zenghui, YU Wenxian, “A Multicarrier Phase-Coded Waveform Design Scheme for Joint Radar and Communication System,” Chinese Journal of Electronics, vol. 30, no. 4, pp. 769-780, 2021, doi: 10.1049/cje.2021.05.020

Citation:

DU Zhen, ZHANG Zenghui, YU Wenxian, “A Multicarrier Phase-Coded Waveform Design Scheme for Joint Radar and Communication System,” Chinese Journal of Electronics, vol. 30, no. 4, pp. 769-780, 2021, doi: 10.1049/cje.2021.05.020

Citation:

PDF( 2995 KB)

A Multicarrier Phase-Coded Waveform Design Scheme for Joint Radar and Communication System

doi: 10.1049/cje.2021.05.020

Shanghai Key Laboratory of Intelligent Sensing and Recognition, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China

Funds:

This work is supported by the National Natural Science Foundation of China (No.U1830103).

Received Date: 2019-03-03
Available Online: 2021-07-19
Publish Date: 2021-07-05

Abstract

Abstract

A Multicarrier phase-coded (MCPC) waveform design scheme with two steps for Joint radar and communication (JRC) system is developed. Firstly, an integrated MCPC waveform design method is addressed by simultaneously maximizing the Signal-to-clutter-to-noise ratio (SCNR) and the Shannon capacity, subject to both the Integrated sidelobe level ratio (ISLR) constraint and the energy constraint. This model is theoretically proved to be a convex optimization problem with respect to the absolute squares of the transmit weights corresponding to different subcarriers, of which the analytical result is also discussed. Subsequently, by further optimizing the phases of the transmit weights, minimizing the Peak to average power ratio (PAPR) for JRC system is recast as a Semidefinite programming (SDP) problem, which can be effectively solved with the Semidefinite relaxation (SDR) technique via Eigenvalue decomposition (EVD) or Complex Gaussian randomization (CGR). Numerical examples are provided to verify the effectiveness of the proposed scheme.
- Waveform design,
- Joint radar and communication system,
- Multicarrier phase-coded waveform,
- Peak to average power ratio

FullText(HTML)

References(40)

References

L. Zheng, M. Lops, Y. C. Eldar, et al., "Radar and communication coexistence:An overview:A review of recent methods", IEEE Signal Processing Magazine, Vol.36, No.5, pp.85-99, 2019.

H. Griffths, L. Cohen, S. Watts, et al., "Radar spectrum engineering and management:Technical and regulatory issues", Proceedings of the IEEE, Vol.103, No.1, pp.85-102, 2015.

C. Shi, F. Wang, M. Sellathurai, et al., "Power minimization-based robust OFDM radar waveform design for radar and communication systems in coexistence", IEEE Transactions on Signal Processing, Vol.66, No.5, pp.1316-1330, 2018.

F. Liu, C. Masouros, A. Li, et al., "Robust MIMO beamforming for cellular and radar coexistence", IEEE Wireless Communications Letters, Vol.6, No.3, pp.374-377, 2017.

B. Paul, A. Chiriyath and D. Bliss, "Survey of RF communications and sensing convergence research", IEEE Access, Vol.5, No.99, pp.252-270, 2017.

M. Bica and V. Koivunen, "Radar waveform optimization for target parameter estimation in cooperative radarcommunications systems", IEEE Transactions on Aerospace and Electronic Systems, doi:10.1109/TAES.2018.2884806, 2018.

Q. He, Z. Wang, J. Hu, et al., "Performance gains from cooperative MIMO radar and MIMO communication systems", IEEE Signal Processing Letters, Vol.26, No.1, pp.194-198, 2019.

Y. Nijsure, Y. Chen, S. Boussakta, et al., "Novel system architecture and waveform design for cognitive radar radio networks", IEEE Transactions on Vehicular Technology, Vol.61, No.8, pp.3630-3642, 2012.

C. Sturm and W. Wiesbeck, "Waveform design and signal processing aspects for fusion of wireless communications and radar sensing", Proceedings of the IEEE, Vol.99, No.7, pp.1236-1259, 2011.

Y. Liu, G. Liao, Z. Yang, et al., "Multiobjective optimal waveform design for OFDM integrated radar and communication systems", Signal Processing, Vol.141, pp.331-342, 2017.

J. Ellinger, Z. Zhang, M. Wicks, et al., "Multi-carrier radar waveforms for communications and detection", IET Radar Sonar Navigation, Vol.11, No.3, pp.444-452, 2017.

Z. Du, Z. Zhang and W. Yu, "Distributed target detection in communication interference and noise using OFDM radar", IEEE Communications Letters, Vol.25, No.2, pp.598-602, 2021.

K. Jia and L. Hao, "Modeling of multipath channel and performance analysis of MIMO-DCO-OFDM system in visible light communications", Chinese Journal of Electronics, Vol.28, No.3, pp.630-639, 2019.

S. Sen and A. Nehorai, "Adaptive OFDM radar for target detection in multipath scenarios", IEEE Transactions on Signal Processing, Vol.59, No.1, pp.78-90, 2011.

Z. Du, Z. Zhang and W. Yu, "An adaptive OFDM detection strategy for range and doppler spread targets in non-gaussian clutter", IEEE Access, Vol.6, pp.61223-61232, 2018.

S. Sen and A. Nehorai, "Adaptive design of OFDM radar signal with improved wideband ambiguity function", IEEE Transactions on Signal Processing, Vol.58, No.2, pp.928-933, 2010.

S. Liu, Z. Zhang and W. Yu, "A space-time coding scheme with time and frequency comb-like chirp waveforms for MIMO-SAR", IEEE Journal of Selected Topics in Signal Processing, Vol.11, No.2, pp.391-403, 2017.

Y. Liu, G. Liao, J. Xu, et al., "Adaptive OFDM integrated radar and communications waveform design based on information theory", IEEE Communications Letters, Vol.21, No.10, pp.2174-2177, 2017.

M. Bell, "Information theory and radar waveform design", IEEE Transactions on Information Theory, Vol.39, No.5, pp.1578-1597, 1993.

S. Kay, "Optimal signal design for detection of Gaussian point targets in stationary Gaussian clutter/reverberation", IEEE Journal of Selected Topics in Signal Processing, Vol.1, No.1, pp.31-41, 2007.

R. Romero, J. Bae and N. Goodman, "Theory and application of SNR and mutual information matched illumination waveforms", IEEE Transactions on Aerospace and Electronic Systems, Vol.47, No.2, pp.912-927, 2011.

Y. Yang and R. Blum, "MIMO radar waveform design based on mutual information and minimum mean-square error estimation", IEEE Transactions on Aerospace and Electronic Systems, Vol.43, No.1, pp.330-343, 2007.

J. Wang, Z. Qin, F. Gao, et al., "An approximate maximum likelihood algorithm for target localization in multistatic passive radar", Chinese Journal of Electronics, Vol.28, No.1, pp.195-201, 2019.

Skolnik and M. Ed, Radar Handbook, McGraw-Hill Book Co, 1970.

U. Madhow, Fundamentals of Digital Communication, Cambridge University Press, 2008.

S. Liu, Z. Zhang and W. Yu, "Circulate shifted OFDM chirp waveform diversity design with digital beamforming for MIMO SAR", Science China:Information Science, Vol.60, pp.102307:1-102307:12, 2017.

S. Sen, "Characterizations of PAPR-constrained radar waveforms for optimal target detection", IEEE Sensors Journal, Vol.14, No.5, pp.1647-1654, 2014.

L. Liu and G. Zhao, "A method on peak-to-average power ratio reduction", Acta Electronica Sinica, Vol.46, No.10, pp.2443-2449, 2018. (in Chinese)

A. Behravan and T. Eriksson, "Tone reservation to reduce the envelope fluctuations of multicarrier signals", IEEE Transactions Wireless Communications, Vol.8, No.5, pp.2417-2423, 2009.

Y. Wang, J. Wang, K. Yi, et al., "PAPR reduction of OFDM signals with minimized evm via semidefinite relaxation", IEEE Transactions on Vehicular Technology, Vol.60, No.9, pp.4662-4667, 2011.

M. Hu, Y. Li, X. Lu, et al., "Tone reservation to minimize nonlinearity impact on OFDM signals", IEEE Transactions on Vehicular Technology, Vol.64, No.9, pp.4310-4314, 2015.

S. Sen and C. Glover, "Optimal multicarrier phase-coded waveform design for detection of extended targets", in IEEE Radar Conference (RADAR), Ottawa, Canada. pp.1-6, 2013.

N. Levanon, "Multifrequency complementary phase-coded radar signal", IEE Proceedings-Radar, Sonar Navigation, Vol.147, No.6, pp.276-284, 2000.

B. Jiu, H. Liu, L. Zhang, et al., "Wideband cognitive radar waveform optimization for joint target radar signature estimation and target detection", IEEE Transactions on Aerospace and Electronic Systems, Vol.51, No.2, pp.1530-1546, 2015.

S. Boyd and L. Vandenberghe, Convex Optimization, New York, NY, USA:Cambridge University. Press, 2004.

P. Stoica, H. He and J. Li, "New algorithms for designing unimodular sequences with good correlation properties", IEEE Transactions on Signal Processing, Vol.57, No.4, pp.1415-1425, 2009.

A. Oppenheim and R. Schafer, Discrete-time Signal Processing, Englewood Cliffs, NJ:Prentice-Hall, 1989.

M. Anthony, J. Zhang and Y. Ye, "On approximating complex quadratic optimization problems via semidefinite programming relaxations", Mathematical Programming, Vol.110, No.1, pp.93-110, 2007.

Z.-Q. Luo, W.-K. Ma, A. M.-C. So, et al., "Semidefinite relaxation of quadratic optimization problems", IEEE Signal Processing Magazine, Vol.27, No.3, pp.20-34, 2010.

Y. L. Sit, C. Sturm, L. Reichardt, et al., "The OFDM joint radar-communication system:An overview", in Proc. International Conference on Advances in Satellite and Space Communications, Budapest, Hungary, pp.69-74, 2011.

Relative Articles

Supplements(0)

Cited By

Proportional views