| 组合定位中信息融合算法的研究 |
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| 引用本文： | 董艳婷,张敬堂.组合定位中信息融合算法的研究[J].信息工程大学学报,2007,8(4):490-492. |
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| 作者姓名： | 董艳婷 张敬堂 |
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| 作者单位： | 信息工程大学,信息工程学院,河南,郑州,450002 |
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| 摘 要： | 指出了传统的卡尔曼滤波在GPS/INS车辆组合定位系统中应用的局限性,给出了一种BP/GA混合算法与卡尔曼滤波结合的信息融合算法模型、原理、实现步骤及仿真结果。仿真表明这种算法和常规卡尔曼滤波算法相比较具有更高的精度和稳定性。
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| 关 键 词： | 组合定位系统 信息融合 卡尔曼滤波 BP神经网络 遗传算法 |
| 文章编号： | 1671-0673(2007)04-0490-03 |
| 修稿时间： | 2007年6月25日 |
Research on Information Fusion in Integrated Localization Systems |
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| DONG Yan-ting,ZHANG Jing-tang.Research on Information Fusion in Integrated Localization Systems[J].Journal of Information Engineering University,2007,8(4):490-492. |
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| Authors: | DONG Yan-ting ZHANG Jing-tang |
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| Abstract: | This paper introduces the limitation of traditional Kalman filter when using in GPS/INS vehicle integrated localization systems,and then presents an information fusion algorithm model and its principles,topether with its realization approach and its simulation results,which using a hybrid algorithm composed of back propagation(BP) neural net and genetic algorithm(GA) together with Kalman filter.The simu1ation result proves that this algorithm is prior in precision and stability compared to usual Kalman filter. |
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| Keywords: | integrated localization systems information fusion Kalman filter back propagation(BP) neural net genetic algorithm |
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