| Sensor Registration Based on Neural Network in Data Fusion |
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| 作者姓名： | 窦丽华 张苗 |
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| 作者单位： | School of Information Science and Technology Beijing Institute of Technology，Beijing 100081，China，School of Information Science and Technology Beijing Institute of Technology，Beijing 100081，China |
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| 摘 要： | The contents of sensor registration in the multi-sensor data fusion system are introduced, and some existing methods are analyzed. Then, one approach to sensor registration based on BP neural network is proposed. Here the measurements from radar are transformed from the polar coordinate system to the Cartesian coordinate through a BP neural network. With this approach, the systematic errors are removed as well as the coordinate is transformed. The efficiency of this method is demonstrated by simulation, and the result show that this approach could remove the systematic errors effectively and the DAR are closer to real position than DBR.
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Sensor Registration Based on Neural Network in Data Fusion |
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| DOU Li-hua . ZHANG Miao.Sensor Registration Based on Neural Network in Data Fusion[J].Journal of Beijing Institute of Technology,2004(Z1). |
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| Authors: | DOU Li-hua ZHANG Miao |
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| Abstract: | The contents of sensor registration in the multi-sensor data fusion system are introduced, and some existing methods are analyzed. Then, one approach to sensor registration based on BP neural network is proposed. Here the measurements from radar are transformed from the polar coordinate system to the Cartesian coordinate through a BP neural network. With this approach, the systematic errors are removed as well as the coordinate is transformed. The efficiency of this method is demonstrated by simulation, and the result show that this approach could remove the systematic errors effectively and the DAR are closer to real position than DBR. |
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| Keywords: | data fusion: sensor registration BP neural network |
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