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Cognitive design of the receive filter and transmitted phase code in reverberating environment

Cognitive design of the receive filter and transmitted phase code in reverberating environment

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In this study, the authors consider the problem of cognitive transmit signal and receive filter design for a point-like target embedded in a high-reverberating environment. The authors focus on phase-only waveforms, sharing either a continuous or a finite alphabet phase, hence they devise constrained optimisation procedures that sequentially improve the Signal to Interference plus Noise Ratio (SINR), accounting for a similarity constraint between the transmitted signal and a prescribed radar waveform. The computational complexity of the proposed algorithms is linear with the number of iterations and polynomial with the receive filter length. At the analysis stage, the performance of the techniques is assessed in the presence of a homogeneous clutter scenario.

References

    1. 1)
    2. 2)
      • A. Aubry , A. De Maio , A. Farina , M. Wicks . Knowledge-aided (potentially cognitive) transmit signal and receive filter design in signal-dependent clutter. IEEE Trans. on Aerosp. Electron. Syst.
    3. 3)
    4. 4)
    5. 5)
    6. 6)
    7. 7)
      • J.R. Guerci . (2010) Cognitive radar, the knowledge-aided fully adaptive approach.
    8. 8)
      • Patton, L.K.: `On the satisfaction of modulus and ambiguity function constraints in radar waveform optimization for detection', 2009, Doctor of Philosophy (PhD), Wright State University, Engineering PhD.
    9. 9)
    10. 10)
    11. 11)
      • Antonik, P., Shuman, H., Li, P., Melvin, W., Wicks, M.: `Knowledge-based space-time adaptive processing', IEEE National Radar Conf., Syracuse, May 1997, NY.
    12. 12)
    13. 13)
    14. 14)
    15. 15)
    16. 16)
    17. 17)
    18. 18)
    19. 19)
      • M.I. Skolnik . (1990) Radar handbook.
    20. 20)
    21. 21)
    22. 22)
      • G.H. Golub , C.F. Van Loan . (1989) Matrix computations.
    23. 23)
      • Nemirovski, A.: ‘Lectures on modern convex optimization’. Available at http://www.isye.gatech.edu/faculty-staff/profile.php?entry=an63.
    24. 24)
      • F. Gini , M. Rangaswamy . (2008) Knowledge based radar detection, tracking and classification.
    25. 25)
      • Antonik, P.A., Griffiths, H., Wiener, D.D., Wicks, M.C.: `Novel diverse waveform', In-House Rep.,, June 2001.
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