| 平均场退火算法在GPS姿态确定中的应用 |
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| 引用本文： | 刘海颖,王惠南.平均场退火算法在GPS姿态确定中的应用[J].中国航空学报,2004,17(3):165-169. |
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| 作者姓名： | 刘海颖 王惠南 |
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| 作者单位： | College of Automation Engineering，Nanjing University of Aeronautics and Astronautics，Nanjing 210016，China，College of Automation Engineering，Nanjing University of Aeronautics and Astronautics，Nanjing 210016，China |
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| 基金项目： | DoctoralFoundationofministryofeducation( 2 0 0 3 0 2 870 0 5 ) |
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| 摘 要： | 研究了基于GPS载波相位测量载体姿态的技术 ,采用了精度高速度快的平均场退火算法(MFANN)。MEFANN是竞争性的Hopfield神经网络和随机模拟退火算法结合起来的一种算法 ,用来求解最优姿态确定问题。首先阐述了GPS载波相位姿态测量基本原理 ,接下来建立了姿态测量系统数学模型 ,应用MFANN算法来解算整周模糊度和方位角 ,最后给出了应用MFANN方法求解的实例 ,说明该方法是有效的
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| 关 键 词： | GPS 神经网络 MFANN 整周模糊度 姿态测量 |
Application of Mean Field Annealing Algorithms to GPS-Based Attitude Determination |
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| LIU Hai-ying,WANG Hui-nan.Application of Mean Field Annealing Algorithms to GPS-Based Attitude Determination[J].Chinese Journal of Aeronautics,2004,17(3):165-169. |
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| Authors: | LIU Hai-ying WANG Hui-nan |
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| Abstract: | This paper researches the attitude determination of a body based on GPS carrier phase measurement, and the algorithms used is the mean field annealing neural network(MFANN), which has the advantages of high accuracy and rapidity. The MFANN approach is a combination of the competitive Hopfield neural network and the stochastic simulated annealing technique, which is efficacious in resolving the optimal attitude determination. Firstly, the fundamental principle of GPS attitude determination is described, then a test platform of attitude determination is set up, and the MFANN algorithm is verified to resolve integer ambiguity and azimuth angles. Lastly, the experimental example is presented by means of MFANN, and it shows that this method is effective. |
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| Keywords: | GPS neural network MFANN integer ambiguity attitude determination |
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