Accuracy Analysis of SVM Based Ballistic Recognition Approach
TAO Qing1,2, NA Jian1, FENG Yong1, LIU Xin1
1.New Star Research Institute of Applied Technology, Hefei 230031 2.The Key Laboratory of Complex System and Intelligence Science, Institute of Automation,Chinese Academy of Sciences, Beijing 100080 3.Robot Sensor Laboratory, Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei 230031
Abstract:The ballistic recognition accuracy is further discussed and analyzed in terms of simulation experiments. Firstly, the reason for causing the misclassified samples is analyzed. Then, the influences of the number of training samples, the interval of sampling and the noise of radar on the recognition accuracy are respectively discussed in detail. Finally, several significant and interesting results are achieved.
[1] Tao Qing, Liu Xin, Tang Shengping, et al. Support Vector Machine-Based Trajectory Recognition with Applications in the Adjustment of Radar Trajectory Prediction. Acta Armamentarii, 2005, 26(3): 308-311 (in Chinese) (陶 卿,刘 欣,唐升平,等.基于支持向量机的弹道识别及其在雷达弹道外推中的应用.兵工学报, 2005, 26(3): 308-311) [2] Liu Xin, Tao Qing, Tang Shengping, et al. A New Method for Trajectory Extrapolation of Firing Position Reconnaissance and Calibration Radar Based on SVM. Fire Control and Command Control, 2007, 32(3): 8-11 (in Chinese) (刘 欣,陶 卿,唐升平,等.一种基于SVM 的炮位校射雷达弹道外推新方法.火力与指挥控制, 2007, 32(3): 8-11) [3] Duda R O, Hart P E, Stork D G. Pattern Classification. 2nd Edition. New York, USA: John Wiley Sons, 2001 [4] Vapnik V N. The Nature of Statistical Learning Theory. New York, USA: Springer-Verlag, 1995 [5] Cristianini N, Schawe-Taylor J. An Introduction to Support Vector Machines. Cambridge, UK: Cambridge University Press, 2000 [6] Tao Qing, Wang Jue. A New Fuzzy Support Vector Machine Based on the Weighted Margin. Neural Procession Letters, 2004, 20(3): 139-150 [7] Tao Qing, Wu Gaowei, Wang Feiyue, et al. Posterior Probability Support Vector Machines for Unbalanced Data. IEEE Trans on Neural Networks, 2005, 16(6): 1561- 1573 [8] Tao Qing, Wu Gaowei, Wang Jue. A General Soft Method for Learning SVM Classifiers with L1-Norm Penalty. Pattern Recognition, 2008, 41(3): 939-948 [9] Tao Qing, Chu Dejun, Wang Jue. Recursive Support Vector Machines for Dimensionality Reduction. IEEE Trans on Neural Networks, 2008, 19(1): 189-193