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Ai-Ling He, De-Guo Zeng, Jun Wang, Bin Tang. Multi-Parameter Signal Sorting Algorithm Based on Dynamic Distance Clustering[J]. Journal of Electronic Science and Technology, 2009, 7(3): 249-253.
Citation: Ai-Ling He, De-Guo Zeng, Jun Wang, Bin Tang. Multi-Parameter Signal Sorting Algorithm Based on Dynamic Distance Clustering[J]. Journal of Electronic Science and Technology, 2009, 7(3): 249-253.
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Multi-Parameter Signal Sorting Algorithm Based on Dynamic Distance Clustering

  • School of Electronic Engineering,University of Electronic Science and Technology of China,Chengdu,610054,China

Funds: 

This work was supported by the National Defense Pre-research Fund of China under Grant No. 41101030401.

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  • Author Bio:

    Ai-Ling He research interest includes radar signal deinterleaving, aileensum@foxmail.com;
    De-Guo Zeng, zedg@sina.com;
    Jun Wang, wangjun@ee.uestc.edu.cn;
    Bin Tang, bint@uestc.edu.cn

    Ai-Ling He research interest includes radar signal deinterleaving, aileensum@foxmail.com;
    De-Guo Zeng, zedg@sina.com;
    Jun Wang, wangjun@ee.uestc.edu.cn;
    Bin Tang, bint@uestc.edu.cn

    Ai-Ling He research interest includes radar signal deinterleaving, aileensum@foxmail.com;
    De-Guo Zeng, zedg@sina.com;
    Jun Wang, wangjun@ee.uestc.edu.cn;
    Bin Tang, bint@uestc.edu.cn

    Ai-Ling He research interest includes radar signal deinterleaving, aileensum@foxmail.com;
    De-Guo Zeng, zedg@sina.com;
    Jun Wang, wangjun@ee.uestc.edu.cn;
    Bin Tang, bint@uestc.edu.cn

  • Received Date: 2009-06-03
  • Rev Recd Date: 2009-08-24
  • Publish Date: 2009-09-24
    Abstract
  • A multi-parameter signal sorting algorithm for interleaved radar pulses in dense emitter environment is presented. The algorithm includes two parts, pulse classification and pulse repetition interval (PRI) analysis. Firstly, we propose the dynamic distance clustering (DDC) for classification. In the clustering algorithm, the multi-dimension features of radar pulse are used for reliable classification. The similarity threshold estimation method in DDC is derived, which contributes to the efficiency of the algorithm. However, DDC has large computation with many signal pulses. Then, in order to sort radar signals in real time, the improved DDC (IDDC) algorithm is proposed. Finally, PRI analysis is adopted to complete the process of sorting. The simulation experiments and hardware implementations show both algorithms are effective.
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