| QUADRI-THRESHOLD ALGORITHM OF CO-LOCATED RADAR-TO-ESM CORRELATION |
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| 作者姓名： | 王国宏 何友 毛士艺 王永安 |
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| 作者单位： | [1]InstituteofRadar（402）,NavalAeronauticalEngineeringAcademy,Yantai264001,P.O.Box109,ShandongProvince,China [2]BeijingUniversityofAeronauticsandAstronautics,Beijing100083,China [3]4330Factory,Qixia264001,ShandongProvince,China |
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| 摘 要： | A quadri-threshold radar-to-ESM correlation algorithm is presented and the corresponding four thresholds (high threshold, middle threshold, low threshold, and threshold margin) are given. The proposed algorithm is especially suited for the scenarios where each radar track is specified by different numbers of measurements. Using a simple and effective discriminant function based on the fuzzy synthesis function, the proposed quadri-threshold radar-to-ESM correlation algorithm first selects the two most likely radar tracks and then makes the soft decision based on the selected two tracks. The introduction of the threshold margin in the presented algorithm can further reduce misclassification errors. Simulation results show the feasibility of the algorithm.
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| 关 键 词： | 四限雷达 ESM传感器 相关性算法 模糊合成方程 |
QUADRI-THRESHOLD ALGORITHM OF CO-LOCATED RADAR-TO-ESM CORRELATION |
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| WANG Guo-hong,HE You,MAO Shi-yi,WANG Yong-an.QUADRI-THRESHOLD ALGORITHM OF CO-LOCATED RADAR-TO-ESM CORRELATION[J].Chinese Journal of Aeronautics,2000,13(2):86-90. |
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| Authors: | WANG Guo-hong HE You MAO Shi-yi WANG Yong-an |
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| Abstract: | A quadri-threshold radar-to-ESM correlation algorithm is presented and the corresponding four thresholds (high threshold, middle threshold, low threshold, and threshold margin) are given. The proposed algorithm is especially suited for the scenarios where each radar track is specified by different numbers of measurements. Using a simple and effective discriminant function based on the fuzzy synthesis function, the proposed quadri-threshold radar-to-ESM correlation algorithm first selects the two most likely radar tracks and then makes the soft decision based on the selected two tracks. The introduction of the threshold margin in the presented algorithm can further reduce mis-classification errors. Simulation results show the feasibility of the algorithm. |
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| Keywords: | radar ESM correlation |
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