The Transactions of The Korean Institute of Electrical Engineers (전기학회논문지)

The Korean Institute of Electrical Engineers (대한전기학회)
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A Study on Jammer Suppression Algorithm for Non-stationary Jamming Environment

재머의 크기가 변하는 환경에서의 억제 알고리즘 연구

  • Yoon, Ho-Jun (Dept. of Electronic Convergence Engineering, Kwangwoon University) ;
  • Lee, Kang-In (Dept. of Electronic Convergence Engineering, Kwangwoon University) ;
  • Chung, Young-Seek (Dept. of Electronic Convergence Engineering, Kwangwoon University)
  • Received : 2017.10.23
  • Accepted : 2017.12.26
  • Published : 2018.02.01
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Abstract

Adaptive Beamforming (ABF) algorithm, which is a typical jammer suppression algorithm, guarantees the performance on the assumption that the jamming characteristics of the TDS (Training Data Sample) are stationary, which are obtained immediately before and after transmitting the pulse signal. Therefore, effective jammer suppression can not be expected when the jamming characteristics are non-stationary. In this paper, we propose a new jammer suppression algorithm, of which power spectrum fluctuates fast. In this case, we assume that the location of the jammer station is fixed during the processing time. By applying the MPM (Matrix Pencil Method) to the jamming signal in TDS, we can estimate jammer parameters such as power and incident angle, of which the power will vary fast in time or range bins after TDS. Though we assume that the jammer station is fixed, the estimated jammer's incident angle has an error due to the noise, which degrades the performance of the jammer suppression as the jammer power increases fast. Therefore, the jammer's incident angle should be re-estimated at each range bin after TDS. By using the re-estimated jammer's incident angle, we can construct new covariance matrix under the non-stationary jamming environment. Then, the optimum weight for the jammer suppression is obtained by inversing matrix estimation method based on the matrix projection with the estimated jammer parameters as variables. To verify the performance of the proposed algorithm, the SINR (signal-to-interference plus noise ratio) loss of the proposed algorithm is compared with that of the conventional ABF algorithm.

Keywords

Acknowledgement

Supported by : 광운대학교

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