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논문검색

Time Frequency Single Source Point Detection Based Method for Radar Signal Sorting

초록

영어

Common sorting method have low sorting rates and is sensitive to the Signal-to-Noise Ratio(SNR), detection of time frequency single source point is applied to sort unknown complicated radar signal, high sorting accuracy can be got. The single source points of each radar source signal is detected, then the mixing vector in the corresponding single source point set was estimated by Singular Value Decomposition (SVD), the mixed matrix is estimated simultaneously by cluster validation technique, based on k-means clustering algorithm. Finally, Pulse Description Words (PDW) of each radar signal can be worked out. Experiment results demonstrated that the radar emitter signals extracted by this method showed good performance of noise-resistance and clustering at large-scale SNR.

목차

Abstract
 1. Introduction
 2. Problem Statement
 3. Detection of Time-Frequency Single Source Points and Estimation of Vectors
 4. Estimation of Mixed Matrix
 5. Computer Simulations
 6. Conclusions
 References

저자정보

  • Cheng Cheng Department of Electronic and Optical Engineering, Mechanical Engineering College, 050003, Shijiazhuang Hebei
  • Liu Li-min Department of Electronic and Optical Engineering, Mechanical Engineering College, 050003, Shijiazhuang Hebei
  • Han Zhuang-zhi Department of Electronic and Optical Engineering, Mechanical Engineering College, 050003, Shijiazhuang Hebei

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