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Bounds on generalised integrated sidelobe level in waveforms with stopbands

Bounds on generalised integrated sidelobe level in waveforms with stopbands

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  • Author(s): G. Wang 1  and  Y. Lu 2
    • View affiliations
    • Affiliations: 1: Sensor Array Group, Temasek Laboratories@NTU, Nanyang Technological University, Singapore
      2: School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore
  • Source: Volume 46, Issue 23, 11 November 2010, p. 1561 – 1562
    DOI:  10.1049/el.2010.1876 , Print ISSN 0013-5194, Online ISSN 1350-911X
© The Institution of Engineering and Technology
Published

Bounds on the generalised integrated sidelobe level (GISL) are built for waveforms with stopbands, i.e. sparse frequency waveforms. The bounds predict the best achievable GISL for any average-pass-to-stopband power ratio in sparse frequency waveforms. The optimal condition for the lower bounds also suggests new approaches for designing sparse frequency waveforms with sidelobe constraints.

Inspec keywords: spectral analysis

Other keywords: average-pass-to-stopband power ratio; sidelobe constraint; sparse frequency waveform; generalised integrated sidelobe level

Subjects: Signal processing and detection; Signal processing theory

References

    1. 1)
      • P. Stoica , H. He , J. Li . New algorithms for designing unimodular sequences with good correlation properties. IEEE Trans. Signal Process. , 4 , 1415 - 1425
    2. 2)
      • G. Wang , Y. Lu . Designing single/multiple sparse frequency waveforms with sidelobe constraint. IET Radar Sonar Navig.
    3. 3)
      • Salzman, J., Akamine, D., Lefevre, R.: `Optimal waveforms and processing for sparse frequency UWB operation', IEEE Radar Conf., 2001, Atlanta, GA, USA, p. 105–110.
    4. 4)
      • Wang, G., Lu, Y.: `Sparse frequency transmit waveform design with soft power constraint by using PSO algorithm', IEEE Radar Conf., 2008, Rome, Italy, p. 1–4.
    5. 5)
    6. 6)
      • M. Lindenfeld . Sparse frequency transmit and receive waveform design. IEEE Trans. Aerosp. Electron. Syst. , 3 , 851 - 860
    7. 7)
      • He, H., Stoica, P., Li, J.: `Waveform design with stopband and correlation constraints for cognitive radar', Int. Workshop on Cognitive Information Processing, 2010, Elba Island, Tuscany, Italy, p. 1–4.
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