Constant Modulus Waveform Synthesis Based on Iterative Convex Optimization

Li Xiu-you; Xue Yong-hua; Dong Yun-long; Guan Jian

doi:10.11999/JEIT141593

Volume 37 Issue 9

Sep. 2015

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Li Xiu-you, Xue Yong-hua, Dong Yun-long, Guan Jian. Constant Modulus Waveform Synthesis Based on Iterative Convex Optimization[J]. Journal of Electronics & Information Technology, 2015, 37(9): 2171-2176. doi: 10.11999/JEIT141593

Citation:

Li Xiu-you, Xue Yong-hua, Dong Yun-long, Guan Jian. Constant Modulus Waveform Synthesis Based on Iterative Convex Optimization[J]. Journal of Electronics & Information Technology, 2015, 37(9): 2171-2176. doi: 10.11999/JEIT141593

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Constant Modulus Waveform Synthesis Based on Iterative Convex Optimization

doi: 10.11999/JEIT141593

Received Date: 2014-11-07
Rev Recd Date: 2015-05-21
Publish Date: 2015-09-19

Abstract

Abstract

In order to solve the problem of large energy spectral density error of the constant modulus waveform synthesized in cognitive radar. A new waveform design algorithm based on iterative convex optimization is proposed. Firstly, in order to solve the problems of slow convergence speed and large error of energy spectral density, this algorithm transforms the waveform synthesis process into an optimization problem constrained by Peak-to-Average Power Ratio (PAPR). Secondly, Weighting Error Vector Magnitude (WEVM) is minimized to reduce stop-band power and suppress the interference and the clutter. Finally, the optimization problem is transformed into Second-Order Cone Programming (SOCP) problem. Simulation results verify the effectiveness of the proposed algorithm.
- Cognitive radar,
- Constant modulus waveform,
- Convex optimization,
- Peak-to-Average Power Ratio (PAPR)

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References(23)

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