Capon-like method for direction of arrival estimation using TDM MIMO radar

• Autorzy: Ślesicka Anna , Kawalec Adam , Ślesicki Błażej

Identyfikatory

DOI

10.24425/mms.2023.146416

• Języki publikacji: EN

Abstrakty

EN

This paper presents a novel measurement method and briefly discusses the basic properties of direction of arrival (DoA) measurement in a multiple-input multiple-output (MIMO) radar system by using orthogonality with time-division multiplexing (TDM), where only one transmitting antenna element is active in each time slot. This paper presents the mathematical model of the TDM-MIMO radar operating at 10 GHz, transmitting a string of pulses, the method of transmitting and receiving the signal, and the method of measuring the angle of arrival of the signal based on the use of the Capon algorithm and its modifications. Finally, the correctness of the theory, algorithm and method of measuring the direction of arrival of the signal is verified by experimental simulation. The work discussed in this paper is of great significance to practically demonstrate the capabilities of the TDM MIMO radar sensor in practical implementations like reconnaissance and electronic warfare systems.

Słowa kluczowe

EN

direction of arrival measurement; Capon algorithm; multiple-input multiple-output radar; time-division multiplexing; signal processing

• Wydawca: Komitet Metrologii i Aparatury Naukowej PAN
• Czasopismo: Metrology and Measurement Systems
• Rocznik: 2023
• Tom: Vol. 30, nr 3
• Strony: 481--497
• Opis fizyczny: Bibliogr. 30 poz., rys., tab., wykr., wzory

Twórcy

autor

Ślesicka Anna

• Military University of Aviation, Institute of Navigation, Dywizjonu 303 no. 35, 08-521 Dęblin, Poland

autor

Kawalec Adam

• Military University of Technology, Faculty of Mechatronics, Armament and Aerospace, Department of Anti-Aircraft Missile Sets, gen. S. Kaliskiego 2, 00-908 Warsaw, Poland

autor

Ślesicki Błażej

• Military University of Aviation, Faculty of Aviation, Department of Avionics and Control Systems, Dywizjonu 303 no. 35, 08-521 Dęblin, Poland

Bibliografia

• [1] Bergin, J., & Guerci, J. R. (2018). MIMO Radar Theory and Application. Artech House: Boston, USA.
• [2] Matuszewski, J., & Kraszewski, T. (2021). Evaluation of emitter location accuracy with the modified triangulation method by means of maximum likelihood estimators. Metrology and Measurement Systems, 28(4), 781-802. https://doi.org/10.24425/mms.2021.138537
• [3] Rutkowski, A., & Kawalec, A. (2020). Some of problems of direction finding of ground-based radars using monopulse location system installed on unmanned aerial vehicle. Sensors, 20(18), 5186. https://doi.org/10.3390/s20185186
• [4] Robey, F. C., Coutts, S., Weikle, D., McHarg, J. C., & Cuomo, K. (2004, November). MIMO radar theory and experimental results. In Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, 2004. (Vol. 1, pp. 300-304). IEEE. https://doi.org/10.1109/ACSSC.2004.1399141
• [5] Rambach, K., & Yang, B. (2017). MIMO radar: Time division multiplexing vs. code division multiplexing. In Proceedings of the International Conference Radar System. https://doi.org/10.1049/cp.2017.0383
• [6] Rabideau, D. J. (2008, May). Adaptive MIMO radar waveforms. In 2008 IEEE Radar Conference (pp. 1-6). IEEE. https://doi.org/10.1109/RADAR.2008.4720965
• [7] He, H., Stoica, P., & Li, J. (2009). Designing unimodular sequence sets with good correlations - Including an application to MIMO radar. IEEE Transactions on Signal Processing, 57(11), 4391-4405. https://doi.org/10.1109/TSP.2009.2025108
• [8] Ganapathy, H., Pados, D. A., & Karystinos, G. N. (2011). New bounds and optimal binary signature sets-Part II: Aperiodic total squared correlation. IEEE Transactions on Communications, 59(5), 1411-1420. https://doi.org/10.1109/TCOMM.2011.020811.090405
• [9] Soltanalian, M., Naghsh, M. M., & Stoica, P. (2014). On meeting the peak correlation bounds. IEEE Transactions on Signal Processing, 62(5), 1210-1220. https://doi.org/10.1109/TSP.2014.2300064
• [10] Sun, H., Brigui, F., & Lesturgie, M. (2014, October). Analysis and comparison of MIMO radar waveforms. In 2014 International Radar Conference (pp. 1-6). IEEE. https://doi.org/10.1109/RADAR.2014.7060251
• [11] Ślesicki, B., Ślesicka, A., & Kawalec, A. (2022, September). Analysis of the accuracy of the estimation of signal arrival angle in monostatic MIMO radar using the Capon algorithm and its modifications. In 2022 23rd International Radar Symposium (IRS) (pp. 283-287). IEEE. https://doi.org/10.23919/IRS54158.2022.9905010
• [12] Shtarkalev, B., & Mulgrew, B. (2014). Effects of FDMA/TDMA orthogonality on the gaussian pulse train MIMO ambiguity function. IEEE Signal Processing Letters, 22(2), 153-157. https://doi.org/10.1109/LSP.2014.2351256
• [13] Frazer, G. J., Abramovich, Y. I., Johnson, B. A., & Robey, F. C. (2008, May). Recent results in MIMO over-the-horizon radar. In 2008 IEEE Radar Conference (pp. 1-6). IEEE. https://doi.org/10.1109/RADAR.2008.4720867
• [14] Robey, F. C., Coutts, S., Weikle, D., McHarg, J. C., & Cuomo, K. (2004, November). MIMO radar theory and experimental results. In Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, 2004. (Vol. 1, pp. 300-304). IEEE. https://doi.org/10.1109/ACSSC.2004.1399141
• [15] Forsythe, K. W., & Bliss, D. W. (2010). MIMO radar waveform constraints for GMTI. IEEE Journal of Selected Topics in Signal Processing, 4(1), 21-32. https://doi.org/10.1109/JSTSP.2009.2038969
• [16] Xue, M., Vu, D., Xu, L., Li, J., & Stoica, P. (2009, November). On MIMO radar transmission schemes for ground moving target indication. In 2009 Conference Record of the Forty-Third Asilomar Conference on Signals, Systems and Computers (pp. 1171-1175). IEEE. https://doi.org/10.1109/ACSSC.2009.5470010
• [17] Capon, J. (1969). High-resolution frequency-wavenumber spectrum analysis. Proceedings of the IEEE, 57(8), 1408-1418. https://doi.org/10.1109/PROC.1969.7278
• [18] Handel, P., Stoica, P., & Soderstrom, T. (1993, January). Capon method for doa estimation: accuracy and robustness aspects. In IEEE Winter Workshop on Nonlinear Digital Signal Processing (pp. P_7-1). IEEE. https://doi.org/10.1109/NDSP.1993.767766
• [19] Kimoto, H., Kikuma, N., & Sakakibara, K. (2019, October). Target direction estimation characteristics of capon algorithm in MIMO radar. In 2019 International Symposium on Antennas and Propagation (ISAP) (pp. 1-2). IEEE.
• [20] Weber, R. J., & Huang, Y. (2009, June). Analysis for Capon and MUSIC DOA estimation algorithms. In 2009 IEEE Antennas and Propagation Society International Symposium (pp. 1-4). IEEE. https://doi.org/10.1109/APS.2009.5171460
• [21] Schmidt, R. (1986). Multiple emitter location and signal parameter estimation. IEEE Transactions on Antennas and Propagation, 34(3), 276-280. https://doi.org/10.1109/TAP.1986.1143830
• [22] Duofang, C., Baixiao, C., & Guodong, Q. (2008). Angle estimation using ESPRIT in MIMO radar. Electronics Letters, 44(12), 770-771. https://doi.org/10.1049/el:20080276
• [23] Wen, C., & Wang, T. (2014). Monostatic MIMO radar dimensionality reduction UESPRIT algorithm. Systems Engineering and Electronics, 36(6), 1062-1067.
• [24] Liu, X. L., & Liao, G. S. (2010). Improved ESPRIT-MUSIC algorithm for bistatic MIMO radar in impulsive noise environments. Journal of Electronics and Information, 82(9), 2129-2133.
• [25] Zwanetski, A., & Rohling, H. (2012, May). Continuous wave MIMO radar based on time division multiplexing. In 2012 13th International Radar Symposium (pp. 119-121). IEEE. https://doi.org/10.1109/IRS.2012.6233300
• [26] Zhao, K., Liu, J., & Wu, L. (2022, October). Fast DOA Estimation Algorithm Based on Phase Coded MIMO Radar. In 2022 IEEE 4th International Conference on Civil Aviation Safety and Information Technology (ICCASIT) (pp. 103-107). IEEE. https://doi.org/10.1109/ICCASIT55263.2022.9986955
• [27] Rambach, K., & Yang, B. (2014, May). Direction of arrival estimation of two moving targets using a time division multiplexed colocated MIMO radar. In 2014 IEEE Radar Conference (pp. 1118-1123). IEEE. https://doi.org/10.1109/RADAR.2014.6875763
• [28] Feger, R., Wagner, C., Schuster, S., Scheiblhofer, S., Jager, H., & Stelzer, A. (2009). A 77-GHz FMCW MIMO radar based on an SiGe single-chip transceiver. IEEE Transactions on Microwave theory and Techniques, 57(5), 1020-1035. https://doi.org/10.1109/TMTT.2009.2017254
• [29] Maden, K., & Erer, I. (2022, November). DOA Estimation in MIMO Radars via Deep Learning. In 2022 30th Telecommunications Forum (TELFOR) (pp. 1-4). IEEE. https://doi.org/10.1109/TELFOR 56187.2022.9983686
• [30] Ślesicka, A. (2021). Application of the orthogonal matching algorithm to determine the clutter covariance matrix in space-time adaptive processing. [Doctoral dissertation, Military University of Technology]. https://bip.wat.edu.pl/bip/dokumenty/postepowania-awansowe/aslesicka/rozprawadoktorska.pdf

Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).