Journal of Jilin University(Information Science Ed ›› 2015, Vol. 33 ›› Issue (4): 351-.

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Cognitive Radar Waveform Design Based on Mixed Penalty Function Method

谢洪超, 李新波, 石要武, 鞠默然   

  1. College of Communication Engineering, Jilin University, Changchun 130022, China
  • Received:2015-04-06 Online:2015-07-24 Published:2015-12-02

Abstract:

Aiming at the issue that the SINR ( Signal to Interference plus Noise Ratio) of cognitive radar waveform always needs to meet certain threshold in the real Cognitive radar system, establish a new launch system model of cognitive radar based on two traditional waveform design criteria. This model takes the mutual information between the target and the echo waveform as the objective function with the constraints of SINR and energy. This paper solves the model by mixed penalty function and gets the optimal waveform of cognitive radar.The simulation results show that the waveform can assign the beam energy to the band which clutter beam energy response is weak and the target response is strong, meets the requirements of cognitive radar. So it solves the issue of the threshold of the SINR. It also maximizes the mutual information between the torget and the echo waveform. The proposed waveform design method has high practical significance.

Key words: waveform design, mixed penalty function method, signal to interference plus noise ratio( SINR), cognitive radar

CLC Number: 

  • TN911. 7