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Pilot-Aided Simultaneous Communication And Localisation (PASCAL) Under Practical Imperfections

Published 30 Nov 2023 in cs.IT, eess.SP, and math.IT | (2311.18762v3)

Abstract: This paper introduces a system model called pilot-aided simultaneous communication and localisation (PASCAL) and illustrates its performance in the presence of practical gain and phase imperfections. Specifically, we consider the scenario where multiple single-antenna unmanned aerial vehicles (UAVs) transmit data packets to a multi-antenna base station (BS) that has the dual responsibility of detecting communication signals and localising UAVs using their pilot symbols. Two forms of receiver signal processing approaches are adopted, including disjoint localisation and communication by using maximum likelihood estimation and multiple signal classification (MUSIC), as well as joint localisation and data detection achieved by the newly proposed algorithms. To evaluate the asymptotic localisation performance in the presence of gain-phase imperfections, the Cram\'er-Rao lower bound (CRLB) is derived, while for evaluating the communication's performance, the average sum data rate (SDR) for all the UAVs is derived in closed-form. It is shown that these derived expressions concur with simulations. The results reveal that while the proposed PASCAL system can be sensitive to gain-phase imperfections, it remains to be a powerful and efficient means to achieve reliable simultaneous localisation and communications.

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References (26)
  1. M. Al-Jarrah, M. A. Yaseen, A. Al-Dweik, O. A. Dobre, and E. Alsusa, “Decision fusion for IoT-based wireless sensor networks,” IEEE IoT J., vol. 7, no. 2, pp. 1313-1326, 2020.
  2. Z. Lyu, G. Zhu and J. Xu, “Joint maneuver and beamforming design for UAV-enabled integrated sensing and communication,” IEEE Trans. Wireless Commun., 2022.
  3. M. Al-Jarrah, A. Al-Dweik, E. Alsusa, and E. Damiani, “RFID reader localization using hard decisions with error concealment,” IEEE Sens. J., vol. 19, no. 17, pp. 7534-7542, 2019.
  4. T. Wang, F. Fang and Z. Ding, “An SCA and relaxation based energy efficiency optimization for multi-user RIS-assisted NOMA networks,”  IEEE Trans. Veh. Technol., vol. 71, no. 6, pp. 6843-6847, Jun. 2022.
  5. T. Wang, F. Fang and Z. Ding, “Joint phase shift and beamforming design in a multi-user MISO STAR-RIS assisted downlink NOMA network,”  IEEE Trans. Veh. Technol., vol. 72, no. 7, pp. 9031-9043, July 2023.
  6. Z. Xu and A. Petropulu, “A bandwidth efficient dual-function radar communication system based on a MIMO radar using OFDM waveforms,” IEEE Trans. Signal Process., vol. 71, pp. 401-416, 2023.
  7. J. Steinwandt, F. Roemer, M. Haardt, and G. D. Galdo, “Performance analysis of multi-dimensional ESPRIT-type algorithms for arbitrary and strictly non-circular sources with spatial smoothing,” IEEE Trans. Signal Process., vol. 65, no. 9, pp. 2262-2276, May 2017.
  8. C. Ouyang, Y. Liu and H. Yang, “Performance of downlink and uplink integrated sensing and communications (ISAC) systems,” IEEE Wireless Commun. Lett., vol. 11, no. 9, pp. 1850-1854, Sep. 2022.
  9. C. Ouyang, Y. Liu, and H. Yang, “MIMO-ISAC: Performance analysis and rate region characterization,”  IEEE Wireless Commun. Lett., 2023.
  10. M. Al-Jarrah, E. Alsusa and C. Masouros, “A unified performance framework for integrated sensing-communications based on KL-divergence,” IEEE Trans. Wireless Commun., doi: 10.1109/TWC.2023.3270390.
  11. M. Al-Jarrah, E. Alsusa and C. Masouros, “Kullback-Leibler divergence analysis for integrated radar and communications (RadCom),” 2023 IEEE Wireless Commun. and Netw. Conf. (WCNC), Glasgow, UK, 2023.
  12. X. Wang, Z. Fei and Q. Wu, “Integrated sensing and communication for RIS-assisted backscatter systems,” IEEE IoT J., vol. 10, no. 15, pp. 13716-13726, Aug. 2023.
  13. S. Han, M. A. Al-Jarrah and E. Alsusa, “Performance evaluation of MIMO radars under a generalized model of array imperfections,” IEEE Trans. Aerosp. Electron. Syst., doi: 10.1109/TAES.2023.3304617.
  14. S. Han, M. Al-Jarrah and E. Alsusa, “Joint DOA and Doppler frequency estimation for MIMO radars in the presence of array model imperfections,”  2023 IEEE Wireless Commun. and Netw. Conf. (WCNC), Glasgow, UK, 2023.
  15. S. Han, M. Al-Jarrah and E. Alsusa, “Efficient localization algorithms using a uniform rectangular array with model imperfections,”  2023 IEEE Wireless Commun. and Netw. Conf. (WCNC), Glasgow, UK, 2023.
  16. Z. Dai, W. Su and H. Gu, “A Gain and phase autocalibration approach for large-scale planar antenna arrays,” IEEE Commun. Lett., vol. 25, no. 5, pp. 1645-1649, May 2021.
  17. S. Song, X. Ma, W. Sheng and R. Zhang, “Maximum likelihood sensor array calibration using non-approximate Hessian matrix,” IEEE Signal Process. Lett., vol. 28, pp. 688-692, 2021.
  18. M. Wang, Z. Zhang, and A. Nehorai, “Performance analysis of coarray-based MUSIC in the presence of sensor location errors,” IEEE Trans. Signal Process., vol. 66, no. 12, pp. 3074-3085, Jun. 2018.
  19. P. Chen, Z. Chen, Z. Cao, and X. Wang, “A new atomic norm for DOA estimation with gain-phase errors,” IEEE Trans. Signal Process., vol. 68, pp. 4293-4306, 2020.
  20. Y. Guo, X. Hu, W. Feng, and J. Gong, “Low-complexity 2D DOA estimation and self-calibration for uniform rectangle array with gain-phase error,” Remote Sens., vol. 24, no. 9, pp. 1303-1307, Sept. 2017.
  21. B. Liao and S. -C. Chan, “Direction-of-Arrival estimation in subarrays-based linear sparse arrays with gain/phase uncertainties,” IEEE Trans. Aerosp. Electron. Syst., vol. 49, no. 4, pp. 2268-2280, Oct. 2013.
  22. X. Qian, M. Di Renzo and A. Eckford, “K-means clustering-aided non-coherent detection for molecular communications,” IEEE Trans. Commun., vol. 69, no. 8, pp. 5456-5470, Aug. 2021.
  23. P. Heidenreich, A. M. Zoubir and M. Rubsamen, “Joint 2-D DOA estimation and phase calibration for uniform rectangular arrays,” IEEE Trans. Signal Process., vol. 60, no. 9, pp. 4683-4693, Sep. 2012.
  24. A. van den Bos, “The multivariate complex normal distribution-a generalization,” IEEE Trans. Inf. Theory, vol. 41, no. 2, pp. 537-539, Mar. 1995.
  25. Y. Li and M. H. Er, “Theoretical analyses of gain and phase error calibration with optimal implementation for linear equispaced array,” IEEE Trans. Signal Process., vol. 54, no. 2, pp. 712-723, Feb. 2006.
  26. J. Pan, C. Zhou, B. Liu, and K. Jiang, “Joint DOA and Doppler frequency estimation for coprime arrays and samplers based on continuous compressed sensing,” 2016 CIE Int. Conf. Radar (RADAR), pp. 1-5, 2016.
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