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access icon free Transmit beampattern synthesis for MIMO radar using extended circulating code

© The Institution of Engineering and Technology
Received 22/08/2017, Accepted 25/02/2018, Revised 31/01/2018, Published 01/03/2018

In multiple-input multiple-output (MIMO) radar settings, it is often desired to transmit power only to a given location or sets of locations defined by the beampattern. Some previous works achieve transmit beampattern synthesis by developing new MIMO radar architectures. In these radar architectures, orthogonal waveforms must be utilised. In fact, the perfect orthogonal waveforms are hardly achievable so that the radar performance loss is inevitable. On the other hand, some waveform design methods, which show superior performance, are proposed. However, the modulus variation and high computational complexity impede their applications in reality. In this study, a simple method for transmit beampattern synthesis is proposed. Based on the circulating code principle, the beampattern synthesis problem has been simplified as a single waveform spectral shaping issue. To solve the spectral shaping issue, an extended circulating code (ECC) with constant modulus is provided. The proposed ECC can achieve an arbitrary beampattern with a single constant modulus waveform while the computational complexity is relatively low. Due to these properties, ECC is simple to apply in practice. The method is evaluated by simulated data and the results can verify its effectiveness.

Inspec keywords: codes; radar signal processing; signal synthesis; transmitting antennas; MIMO radar; waveform analysis; antenna arrays; computational complexity; radar antennas

Other keywords: ECC; orthogonal waveforms; single constant modulus waveform; extended circulating code; modulus variation; multiple-input multiple-output radar; MIMO radar architectures; transmit beampattern synthesis; single waveform spectral shaping; transmit antenna array; computational complexity; radar performance loss; waveform design methods

Subjects: Radar equipment, systems and applications; Signal processing and detection; Antenna arrays; Mathematical analysis; Codes

References

    1. 1)
      • 10. Fuhrmann, D.R., San Antonio, G.: ‘Transmit beamforming for MIMO radar systems using signal cross-correlation’, IEEE Trans. Aerosp. Electron. Syst., 2008, 44, (1), pp. 171–186.
    2. 2)
      • 26. Le Chevalier, F.: ‘Space–time coding for active antenna systems’, in Melvin, W.L., Sheer, J.A. (Eds.): ‘Principles of modern radar’ (Scitech Publishing, Raleigh, NC, 2013), pp. 499–527.
    3. 3)
      • 4. Bekkerman, I., Tabrikian, J.: ‘Spatially coded signal model for active arrays’. Proc. 2004 IEEE Int. Conf. Acoustics, Speech, and Signal Processing, Montreal, Quebec, Canada, March 2004, vol. 2, pp. 209–212.
    4. 4)
      • 8. Li, H., Himed, B.: ‘Transmit subaperturing for MIMO radars with co-located antennas’, IEEE J. Sel. Top. Signal Process., 2010, 4, (1), pp. 55–65.
    5. 5)
      • 12. Stoica, P., Li, J., Xie, Y.: ‘On probing signal design for MIMO radar’, IEEE Trans. Signal Process., 2007, 55, (8), pp. 4151–4161.
    6. 6)
      • 24. Le Chevalier, F.: ‘Space-time transmission and coding for airborne radars’, CIE J. Radar Sci. Technol., 2007, 6, (6), pp. 411–421.
    7. 7)
      • 15. Hua, G., Abeysekera, S.S.: ‘MIMO radar transmit beampattern design with ripple and transition band control’, IEEE Trans. Signal Process., 2013, 61, (11), pp. 2963–2974.
    8. 8)
      • 18. Sharaga, N., Tabrikian, J., Messer, H.: ‘Optimal cognitive beamforming for target tracking in MIMO radar/sonar’, IEEE J. Sel. Top. Signal Process., 2015, 9, (8), pp. 1440–1450.
    9. 9)
      • 25. Babur, G., Aubry, P., Le Chevalier, F.: ‘Space-time radar waveforms: circulating codes’, J. Electr. Comput. Eng., Spec. Issue on ‘Adv. Radar Technol.’, 2013, 2013, pp. 1–8.
    10. 10)
      • 28. Babur, G., Le Chevalier, F., Aubry, P.: ‘Space-time codes for active antenna systems: comparative performance analysis’. Proc. IET Int. Radar Conf., Xi'an, China, April 2013, pp. 1–6.
    11. 11)
      • 7. Hassanien, A., Vorobyov, S.A.: ‘Phased-MIMO radar: a tradeoff between phased-array and MIMO radars’, IEEE Trans. Signal Process., 2010, 58, (6), pp. 3137–3151.
    12. 12)
      • 14. Xu, H., Blum, R.S., Wang, J., et al: ‘Colocated MIMO radar waveform design for transmit beampattern formation’, IEEE Trans. Aerosp. Electron. Syst., 2015, 51, (2), pp. 1558–1568.
    13. 13)
      • 5. Forsythe, K., Bliss, D., Fawcett, G.: ‘Multiple-input multiple-output (MIMO) radar: performance issues’. Proc. 38th Asilomar Conf. Signals, Systems and Computers, Pacific Grove, CA, November 2004, vol. 1, pp. 310–315.
    14. 14)
      • 16. Ahmed, S., Alouini, M.S.: ‘MIMO radar transmit beampattern design without synthesising the covariance matrix’, IEEE Trans. Signal Process., 2014, 62, (9), pp. 2278–2289.
    15. 15)
      • 23. Babur, G., Aubry, P., Le Chevalier, F.: ‘Space-time codes for active antenna systems’, Res. Disclosures (www.researchdisclosure.com), 2013, pp. 1–14.
    16. 16)
      • 2. Haimovich, A.M., Blum, R.S., Cimini, L.J.: ‘MIMO radar with widely separated antennas’, IEEE Signal Process. Mag., 2008, 25, (1), pp. 116–129.
    17. 17)
      • 29. Li, J., Stoica, P.: ‘MIMO radar signal processing’ (Hoboken. Wiley, NJ, 2009).
    18. 18)
      • 1. Li, J., Stoica, P.: ‘MIMO radar with collocated antennas’, IEEE Signal Process. Mag., 2007, 24, (5), pp. 106–114.
    19. 19)
      • 9. Fuhrmann, D.R., Browning, J.P., Rangaswamy, M.: ‘Signaling strategies for the hybrid MIMO phased-array radar’, IEEE J. Sel. Top. Signal Process., 2010, 4, (1), pp. 66–78.
    20. 20)
      • 30. San Antonio G., , Fuhrmann, D.R.: ‘MIMO radar ambiguity functions’, IEEE J. Sel. Top. Signal Process., 2007, 1, (1), pp. 167–177.
    21. 21)
      • 22. Gini, F., De Maio, A., Patton, L.K.: ‘Waveform design and diversity for advanced radar systems’ (IET Press, London, 2012).
    22. 22)
      • 13. Soltanalian, M., Hu, H., Stoica, P.: ‘Single-stage transmit beamforming design for MIMO radar’, Signal Process., 2014, 102, pp. 132–138.
    23. 23)
      • 11. Stoica, P., Li, J., Zhu, X.: ‘Waveform synthesis for diversity-based transmit beampattern design’, IEEE Trans. Signal Process., 2008, 56, (6), pp. 2593–2598.
    24. 24)
      • 21. Blunt, S.D., Mokole, E.L.: ‘Overview of radar waveform diversity’, IEEE AES Syst. Mag., 2016, 31, (11), pp. 2–42.
    25. 25)
      • 19. Li, H., Zhao, Y., Cheng, Z., et al: ‘Correlated LFM waveform set design for MIMO radar transmit beampattern’, IEEE Geosci. Remote Sens. Lett., 2017, 14, (3), pp. 329–333.
    26. 26)
      • 3. Bliss, D.W., Forsythe, K.W.: ‘Multiple-input multiple-output (MIMO) radar and imaging: degrees of freedom and resolution’. Proc. 37th Asilomar Conf. Signals, Systems and Computers, Pacific Grove, CA, November 2003, vol. 1, pp. 54–59.
    27. 27)
      • 6. Bekkermann, I., Tabrikian, J.: ‘Target detection and location using MIMO radars and sonars’, IEEE Trans. Signal Process., 2006, 54, (10), pp. 3873–3883.
    28. 28)
      • 27. Roussel, K., Babur, G., Le Chevalier, F.: ‘Optimization of low sidelobes radar waveforms: circulating codes’. Proc. Int. Radar Conf., Lille, France, October 2014, pp. 1–6.
    29. 29)
      • 17. Aubry, A., De Maio, A., Huang, Y.: ‘MIMO radar beampattern design via PSL/ISL optimization’, IEEE Trans. Signal Process., 2016, 64, (15), pp. 3955–3967.
    30. 30)
      • 20. Pandey, N., Roy, L.P.: ‘Convex optimisation based transmit beampattern synthesis for MIMO radar’, Electron. Lett., 2016, 52, (9), pp. 761–763.
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