Multi-Parameter Signal Sorting Algorithm Based on Dynamic Distance Clustering
A multi-parameter signal sorting algo- rithm 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.
作 者： Ai-Ling He De-Guo Zeng Jun Wang Bin Tang 作者单位： The authors are with School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, 610054, China 刊 名： 中国电子科技 英文刊名： JOURNAL OF ELECTRONIC SCIENCE AND TECHNOLOGY OF CHINA 年，卷(期)： 2009 7(3) 分类号： 关键词： Cluster analysis pulse repetition interval (PRI) analysis signal sorting tolerance estimate.