| 基于AGA优化BP网络的小信息量蜂窝网定位算法 |
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| 引用本文： | 周艳,王建辉,胡捍英.基于AGA优化BP网络的小信息量蜂窝网定位算法[J].信息工程大学学报,2009,10(4):461-465. |
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| 作者姓名： | 周艳 王建辉 胡捍英 |
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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： | 为了实现蜂窝网中小信息量情况下对移动用户的定位，在只有驻留基站和一台定位设备可用的条件下，建立了TOA／TOA定位模型，提出了一种基于BP神经网络的定位算法，并用自适应遗传算法（AGA）优化BP网络的权值。仿真结果表明，在小信息量条件下，优化后的算法在复杂的多径环境下有效地提高了定位精度，能够很好地解决模型中固有的模糊点问题，达到了FCC的定位要求。
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| 关 键 词： | BP神经网络 AGA 移动台 定位 |
Cellular Location Algorithm with Less Information Based on Optimized BP Neural Network by AGA |
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| ZHOU Yan,WANG Jian-hui,HU Han-ying.Cellular Location Algorithm with Less Information Based on Optimized BP Neural Network by AGA[J].Journal of Information Engineering University,2009,10(4):461-465. |
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| Authors: | ZHOU Yan WANG Jian-hui HU Han-ying |
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| Affiliation: | ( Institute of Information Engineering,Information Engineering University, Zhengzhou 450002,China) |
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| Abstract: | In order to realize mobile location when less parameter information can be obtained in cellular networks, this paper presents a location model based on TOA/TOA when only the base station and one location device are available. Then an algorithm based on BP （Back Propagation） is introduced to realize position estimation under this model, and the weights of BP network is optimized by AGA （adaptive genetic algorithm）. Simulation results indicate that the location accuracy of UE （user equipment） is improved effectively in complex multi-path environment and the blurred spot problem that inherently exists in this model can be solved by the optimized BP algorithm. The performance of the algorithm meets the demands of FCC. |
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| Keywords: | AGA |
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