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论文摘要

不同Alpha-Beta滤波算法的精度分析及改进

Accuracy analysis and improvement of different Alpha-Beta filtering algorithms

作者:刘常娟(国家空管自动化系统技术重点实验室);王运锋(四川大学计算机学院);杨玲(电子信息控制重点实验室)

Author:LIU Chang-Juan(National Key Laboratory of Air Traffic Control Automation System Technology);WANG Yun-Feng(Department of computer science and technology, Sichuan University);YANG Ling(Science and Technology on Electronic Information Control Laboratory)

收稿日期:2017-03-28          年卷(期)页码:2018,55(2):265-270

期刊名称:四川大学学报: 自然科学版

Journal Name:Journal of Sichuan University (Natural Science Edition)

关键字:机动目标跟踪;自适应alpha-beta滤波算法;精度分析

Key words:motorized target tracking; adaptive alpha-beta filtering algorithm; accuracy analysis

基金项目:国家自然科学基金

中文摘要

机动目标跟踪是雷达应用系统的一个重要组成部分,在机动目标跟踪中,目标的跟踪精度作为一项能够反映跟踪算法好坏的指标,是大部分人所关注的重点内容.通过对四种传统的Alpha-Beta滤波算法进行精度分析和比较,总结出四种算法的滤波特点,根据这些特点,改进得出了一种自适应的Alpha-Beta滤波算法.该算法相对于传统的Alpha-Beta滤波算法来说,整体滤波效果是最优的,精度也是整体最高的.

英文摘要

Maneuvering target tracking is an important part of radar application system, target tracking accuracy is regarded as an important index when evaluating an algorithm's performance for the maneuvering target tracking,it is the focus of attention of most people. The characteristics were summarized through the analysis and comparison of four traditional Alpha-Beta filtering algorithms, and according to these characteristics, an Adaptive alpha-beta filter algorithm was obtained by improving traditional algorithms. Compared with the traditional Alpha-Beta filtering algorithm, the Adaptive Alpha-Beta filter algorithm is best in overall filtering results, and also has the highest accuracy.

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