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Multi-user transmission for the joint radar communication systems based on amplitude phase shift keying modulation and waveform diversity

Published online by Cambridge University Press:  10 September 2021

Abdulmuneem Alselwi Open the ORCID record for Abdulmuneem Alselwi [Opens in a new window] ,
Adnan Umar Khan ,
Ijaz Mansoor Qureshi ,
Wasim Khan  and
Abdul Basit
Abdulmuneem Alselwi*
Affiliation:
Faculty of Engineering and Technology, International Islamic University, Islamabad 44000, Pakistan
Adnan Umar Khan
Affiliation:
Faculty of Engineering and Technology, International Islamic University, Islamabad 44000, Pakistan
Ijaz Mansoor Qureshi
Affiliation:
Department of Electrical Engineering, Air University, Islamabad 44000, Pakistan
Wasim Khan
Affiliation:
Faculty of Engineering and Technology, International Islamic University, Islamabad 44000, Pakistan
Abdul Basit
Affiliation:
Faculty of Engineering and Technology, International Islamic University, Islamabad 44000, Pakistan
*
Author for correspondence: Abdulmuneem Alselwi, E-mail: aaalselwi@gmail.com
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Abstract

In this paper, an efficient dual function radar-communication system is proposed to improve the system's resource utilization. In this work, we considered a scenario where the location of the communication receiver is known prior but the radar target is moving and its location is changing with time. Therefore, we proposed a closed-loop design that allows an adaptive selection of appropriate information embedding strategies during tracking operations. We used two strategies that utilize the amplitudes and/or phases of the transmitted radar waveforms toward the communication direction according to the position of the communication receiver during each scan. Hence, during each radar illumination, the system carries out a target-tracking task and simultaneously maintains the communication symbols transmission toward the intended communication direction. The simulation results verify the effective performance of the proposed approach in terms of target detection and tracking performance and angular bit error rate (BER). Furthermore, the proposed amplitude phase-shift keying signaling strategy can transmit different communication symbols to different users located within the sidelobe region and also provides a significant improvement in data rate transmission and BER performance compared with the existing sidelobe-based communication strategies.

Keywords

Spectrum sharingjoint radar-communication systemsmultiple inputs multiple outputs (MIMO) radars
Type
Radar
Information
International Journal of Microwave and Wireless Technologies , Volume 14 , Issue 8 , October 2022 , pp. 1054 - 1068
Copyright
Copyright © The Author(s), 2021. Published by Cambridge University Press in association with the European Microwave Association

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References

Griffiths, H, Blunt, S, Cohen, L and Savy, L (2013) Challenge problems in spectrum engineering and waveform diversity, in 2013 IEEE Radar Conference (RadarCon13), pp. 1–5.Google Scholar
Griffiths, H, Cohen, L, Watts, S, Mokole, E, Baker, C, Wicks, M and Blunt, S (2014) Radar spectrum engineering and management: technical and regulatory issues. Proceedings of the IEEE 103, 85–102.CrossRefGoogle Scholar
Hayvaci, H and Tavli, B (2014) Spectrum sharing in radar and wireless communication systems: a review, in 2014 International Conference on Electromagnetics in Advanced Applications (ICEAA), pp. 810–813.Google Scholar
Qian, J, He, Z, Huang, N and Li, B (2018) Transmit designs for spectral coexistence of MIMO radar and MIMO communication systems. IEEE Transactions on Circuits and Systems II: Express Briefs 65, 2072–2076.Google Scholar
Chiriyath, AR, Paul, B and Bliss, DW (2017) Radar-communications convergence: coexistence, cooperation, and co-design. IEEE Transactions on Cognitive Communications and Networking 3, 1–12.CrossRefGoogle Scholar
Biglieri, E, Goldsmith, AJ, Greenstein, LJ, Poor, HV and Mandayam, NB (2013) Principles of Cognitive Radio. Cambridge, UK: Cambridge University Press.Google Scholar
Wang, Y (2012) Cognitive Informatics for Revealing Human Cognition: Knowledge Manipulations in Natural Intelligence: Knowledge Manipulations in Natural Intelligence. Hershey, PA: IGI Global.Google Scholar
Haykin, S (2013) Cognitive dynamic systems. In Wang, Y (ed.), Cognitive Informatics for Revealing Human Cognition: Knowledge Manipulations in Natural Intelligence. Hershey, PA: IGI Global, pp. 250–260.CrossRefGoogle Scholar
Mahal, JA, Khawar, A, Abdelhadi, A and Clancy, TC (2017) Spectral coexistence of MIMO radar and MIMO cellular system. IEEE Transactions on Aerospace and Electronic Systems 53, 655–668.CrossRefGoogle Scholar
Zheng, L, Lops, M, Wang, X and Grossi, E (2017) Joint design of overlaid communication systems and pulsed radars. IEEE Transactions on Signal Processing 66, 139–154.CrossRefGoogle Scholar
Qian, J, Lops, M, Zheng, L, Wang, X and He, Z (2018) Joint system design for coexistence of MIMO radar and MIMO communication. IEEE Transactions on Signal Processing 66, 3504–3519.CrossRefGoogle Scholar
Hassanien, A, Amin, MG, Zhang, YD and Ahmad, F (2016) Signaling strategies for dual-function radar communications: an overview. IEEE Aerospace and Electronic Systems Magazine 31, 36–45.CrossRefGoogle Scholar
Euziere, J, Guinvarc'h, R, Lesturgie, M, Uguen, B and Gillard, R (2014) Dual function radar communication time-modulated array, in 2014 International Radar Conference, pp. 1–4.Google Scholar
Hassanien, A, Amin, MG, Zhang, YD and Ahmad, F (2015) Dual-function radar-communications: information embedding using sidelobe control and waveform diversity. IEEE Transactions on Signal Processing 64, 2168–2181.CrossRefGoogle Scholar
Hassanien, A, Amin, MG, Zhang, YD and Ahmad, F (2016) Phase-modulation based dual-function radar-communications. IET Radar, Sonar & Navigation 10, 1411–1421.CrossRefGoogle Scholar
Ahmed, A, Zhang, YD and Gu, Y (2018) Dual-function radar-communications using QAM-based sidelobe modulation. Digital Signal Processing 82, 166–174.CrossRefGoogle Scholar
BouDaher, E, Hassanien, A, Aboutanios, E and Amin, MG (2016) Towards a dual-function MIMO radar-communication system, in 2016 IEEE Radar Conference (RadarConf), pp. 1–6.Google Scholar
Hassanien, A, Aboutanios, E, Amin, MG and Fabrizio, GA (2018) A dual-function MIMO radar-communication system via waveform permutation. Digital Signal Processing 83, 118–128.CrossRefGoogle Scholar
Baxter, W, Aboutanios, E and Hassanien, A (2018) Dual-function MIMO radar-communications via frequency-hopping code selection, in 2018 52nd Asilomar Conference on Signals, Systems, and Computers, pp. 1126–1130.Google Scholar
McCormick, PM, Ravenscroft, B, Blunt, SD, Duly, AJ and Metcalf, JG (2017) Simultaneous radar and communication emissions from a common aperture, part II: experimentation, in 2017 IEEE Radar Conference (RadarConf), pp. 1697–1702.Google Scholar
Al-Salehi, AR, Qureshi, IM, Malik, AN, Khan, Z and Khan, W (2019) Throughput enhancement for dual-function radar-embedded communications using two generalized sidelobe cancellers. IEEE Access 7, 91390–91398.CrossRefGoogle Scholar
Nusenu, SY, Wang, W-Q and Basit, A (2018) Time-modulated FD-MIMO array for integrated radar and communication systems. IEEE Antennas and Wireless Propagation Letters 17, 1015–1019.CrossRefGoogle Scholar
Nusenu, SY and Wang, W-Q (2018) Dual-function FDA MIMO radar-communications system employing Costas signal waveforms, in 2018 IEEE Radar Conference (RadarConf18), pp. 0033–0038.Google Scholar
Antonik, P, Wicks, MC, Griffiths, HD and Baker, CJ (2006) Range-dependent beamforming using element level waveform diversity, in 2006 International Waveform Diversity & Design Conference, pp. 1–6.Google Scholar
Hassanien, A, Amin, MG, Zhang, YD and Ahmad, F (2015) Dual-function radar-communications using phase-rotational invariance, in 2015 23rd European Signal Processing Conference (EUSIPCO), pp. 1346–1350.Google Scholar
Nusenu, SY, Huaizong, S, Ye, P, Xuehan, W and Basit, A (2019) Dual-function radar-communication system design via sidelobe manipulation based on FDA butler matrix. IEEE Antennas and Wireless Propagation Letters 18, 452–456.CrossRefGoogle Scholar
Alselwi, A, Khan, AU, Qureshi, IM, Khan, W and Basit, A (2021) Throughput enhancement for the joint radar-communication systems based on cognitive closed-loop design. IEEE Access 9, 64785–64807.CrossRefGoogle Scholar
Liu, Z, Xie, Q, Peng, K and Yang, Z (2011) APSK constellation with gray mapping. IEEE Communications Letters 15, 1271–1273.CrossRefGoogle Scholar
Grant, M and Boyd, S CVX: Matlab software for disciplined convex programming, version 2.1, ed, 2014.Google Scholar
Hassanien, A, Vorobyov, SA and Khabbazibasmenj, A (2015) Transmit radiation pattern invariance in MIMO radar with application to DOA estimation. IEEE Signal Processing Letters 22, 1609–1613.CrossRefGoogle Scholar
Sworder, DD and Boyd, JE (1999) Estimation Problems in Hybrid Systems. Cambridge, UK: Cambridge University Press.CrossRefGoogle Scholar
Alouani, A, Xia, P, Rice, T and Blair, W (1991) A two-stage Kalman estimator for state estimation in the presence of random bias and for tracking maneuvering targets, in [1991] Proceedings of the 30th IEEE Conference on Decision and Control, pp. 2059–2062.Google Scholar
Kirubarajan, T and Bar-Shalom, Y (2003) Kalman filter versus IMM estimator: when do we need the latter? IEEE Transactions on Aerospace and Electronic Systems 39, 1452–1457.CrossRefGoogle Scholar
Blom, HA and Bar-Shalom, Y (1988) The interacting multiple model algorithm for systems with Markovian switching coefficients. IEEE Transactions on Automatic Control 33, 780–783.CrossRefGoogle Scholar
Bar-Shalom, Y, Li, XR and Kirubarajan, T (2004) Estimation with Applications to Tracking and Navigation: Theory Algorithms and Software. Hoboken, NJ: John Wiley & Sons.Google Scholar
Li, XR and Jilkov, VP (2003) Survey of maneuvering target tracking. Part I. Dynamic models. IEEE Transactions on Aerospace and Electronic Systems 39, 1333–1364.Google Scholar
Liu, H and Wu, W (2017) Interacting multiple model (IMM) fifth-degree spherical simplex-radial cubature Kalman filter for maneuvering target tracking. Sensors 17, 1374.CrossRefGoogle ScholarPubMed
Owen, MW and Stubberud, AR (2003) NEKF IMM tracking algorithm. Signal and Data Processing of Small Targets 2004, 223–233.Google Scholar
Hassanien, A and Vorobyov, SA (2011) Transmit energy focusing for DOA estimation in MIMO radar with colocated antennas. IEEE Transactions on Signal Processing 59, 2669–2682.CrossRefGoogle Scholar
Al-Salehi, AR, Qureshi, IM, Malik, AN, Khan, W and Basit, A (2020) Dual-function radar-communications: information transmission during FDA radar listening mode. International Journal of Microwave and Wireless Technologies 12, 1–12.CrossRefGoogle Scholar
Basit, A, Wang, W-Q and Nusenu, SY (2020) Adaptive transmit array sidelobe control using FDA-MIMO for tracking in joint radar-communications. Digital Signal Processing 97, 102619.CrossRefGoogle Scholar
Hassanien, A, Amin, MG, Zhang, YD, Ahmad, F and Himed, B (2016) Non-coherent PSK-based dual-function radar-communication systems, in 2016 IEEE Radar Conference (RadarConf), pp. 1–6.Google Scholar
Hassanien, A, Amin, MG, Zhang, YD and Himed, B (2016) A dual-function MIMO radar-communications system using PSK modulation, in 2016 24th European Signal Processing Conference (EUSIPCO), pp. 1613–1617.Google Scholar