| 数据关联算法的研究 |
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| 引用本文： | 司锡才,陈玉坤,李志刚.数据关联算法的研究[J].哈尔滨工程大学学报,2007,28(7):813-817. |
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| 作者姓名： | 司锡才 陈玉坤 李志刚 |
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| 作者单位： | 哈尔滨工程大学,信息与通信工程学院,黑龙江,哈尔滨,150001 |
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| 摘 要： | 在现代目标跟踪系统中,数据关联是一个重要组成部分.由于测量来源的不确定性,密集环境中的目标跟踪比较困难.概率数据关联算法和联合概率数据关联算法能很好地处理目标跟踪并在很多领域得到了广泛的应用.但是一旦出现某种干扰或是故障,通过概率数据关联算法得到的滤波值也会偏离真实值很多,造成滤波发散,严重影响性能.针对这一不足,基于概率数据关联算法中的组合新息,提出了修正概率数据关联算法.最后用一些实例来评价该跟踪算法的跟踪性能,仿真结果表明了修正概率数据关联算法和修正联合概率数据关联算法的有效性.
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| 关 键 词： | 数据关联 目标跟踪 概率数据关联算法 联合概率数据关联算法 |
| 文章编号： | 1006-7043（2007）07-0813-05 |
| 修稿时间： | 2006-09-15 |
Research on data association algorithms |
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| SI Xi-cai,CHEN Yu-kun,LI Zhi-gang.Research on data association algorithms[J].Journal of Harbin Engineering University,2007,28(7):813-817. |
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| Authors: | SI Xi-cai CHEN Yu-kun LI Zhi-gang |
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| Affiliation: | College of Information and Communications Engineering, Harbin Engineering University, Harbin 150001,China |
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| Abstract: | Data association has a significant role in a modern target tracking system.Target tracking in dense environments is very difficult because of uncertainties in measurement.Probabilistic data association(PDA) and joint probabilistic data association(JPDA) are suitable for target tracking and have found widespread applications in many areas.But if interference is present,the estimated values with PDA will differ a lot from the true values and performance will deteriorate dramatically because of this filtering divergence.In order to overcome this disadvantage,a modified PDA(MPDA) is proposed based on the combined information of the PDA.Some simulations were done to evaluate its tracking performance.The results demonstrate the effectiveness of MPDA and MJPDA. |
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| Keywords: | data association target tracking PDA JPDA |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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