一种基于鸡群优化的姿态确定新算法

2018 7th International Conference on Digital Home (ICDH) Pub Date : 2018-11-01 DOI:10.1109/ICDH.2018.00030

Yuanfa Ji, Yue Wu, Xiyan Sun, Suqing Yan, Qidong Chen, Baoqiang Du

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引用次数: 0

摘要

提出了一种基于鸡群算法的全球导航卫星系统姿态确定新算法。该算法的一个显著特点是新的优化。传统的LAMBDA算法求解整数模糊度，由于搜索空间大，计算复杂，耗时长，姿态确定时间也相应延长。本文提出的基于最小二乘的无搜索空间优化算法提高了整型模糊度的求解效率，并应用于姿态问题的求解。总之，它被证明是有效的，提供了一种非常有效的态度确定方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A New Algorithm for Attitude Detemination Based on Chicken Swarm Optimization

In this paper a new algorithm for global navigation satellite system attitude determination based on CSO (Chicken Swarm Optimization) was developed. A distinct feature of this algorithm is the new optimization. The traditional LAMBDA algorithm for integer ambiguity resolution is time-consuming due to the large search space and complex calculation, so the attitude determination time is longer correspondingly. The optimization algorithm without search space based on least squares proposed in this paper improves the efficiency of fixing the integer ambiguity and applied to solve attitude problems. In conclusion, it is proven to work, offering a very efficient method of attitude determination.

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2018 7th International Conference on Digital Home (ICDH)

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