Open AccessA novel algorithm for optimal waveform design based on dual mutual information for radar systems
Author(s) -
Fengming Xin,
Bin Wang,
Zhiyong Xu,
Xu Chen
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1324/1/012022
Subject(s) - waveform , clutter , mutual information , lagrange multiplier , algorithm , computer science , radar , multiplier (economics) , constraint (computer aided design) , mathematical optimization , mathematics , artificial intelligence , telecommunications , economics , macroeconomics , geometry
In this paper, the authors propose a waveform design algorithm based on dual mutual information criterion in clutter environment for cognitive radar. At the design stage, the authors, determine the optimal waveform according to the criterion: maximizing the mutual information between the received signal and target impulse response while minimizing the mutual information between the received signal and clutter impulse response. Then, considering the transmitted waveform energy constraint, the optimization model for transmitted waveform is established. The maximum marginal allocation algorithm is used to obtain the final optimal waveform. Finally, the algorithm is simulated and its performance is analysed by Lagrange multiplier method. The simulation results demonstrate that the algorithm is validation.