Journal of Applied Mathematics

  • J. Appl. Math.
  • Volume 2013, Special Issue (2013), Article ID 295493, 6 pages.

Adaptive Waveform Design for Multiple Radar Tasks Based on Constant Modulus Constraint

Wang Bin, Yang Wenfang, and Wang Jinkuan

Full-text: Open access

Abstract

Cognitive radar is an intelligent system, and it can adaptively transmit waveforms to the complex environment. The intelligent radar system should be able to provide different trade-offs among a variety of performance objectives. In this paper, we investigate the mutual information (MI) in signal-dependent interference and channel noise. We propose a waveform design method which can efficiently synthesize waveforms and provide a trade-off between estimation performance and detection performance. After obtaining a local optimal waveform, we apply the technique of generating a constant modulus signal with the given Fourier transform magnitude to the waveform. Finally we obtain a waveform that has constant modulus property.

Article information

Source
J. Appl. Math., Volume 2013, Special Issue (2013), Article ID 295493, 6 pages.

Dates
First available in Project Euclid: 7 May 2014

Permanent link to this document
https://projecteuclid.org/euclid.jam/1399493692

Digital Object Identifier
doi:10.1155/2013/295493

Mathematical Reviews number (MathSciNet)
MR3090609

Zentralblatt MATH identifier
06950600

Citation

Bin, Wang; Wenfang, Yang; Jinkuan, Wang. Adaptive Waveform Design for Multiple Radar Tasks Based on Constant Modulus Constraint. J. Appl. Math. 2013, Special Issue (2013), Article ID 295493, 6 pages. doi:10.1155/2013/295493. https://projecteuclid.org/euclid.jam/1399493692


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