| 摘要: |
| 为了在无基础设施部署的环境下，实现有效、准确的相对定位，提出了以超宽带信号传播时间（time ofarrival，简称TOA）测距为基础的旋转定向算法.围绕人体旋转无线接收设备，可模拟定向天线的灵敏度和功能.在旋转中，障碍物遮挡会在理论上造成最大的测距误差，从而可以确认目标发送设备相对接收设备的方向.但是，由于室内的复杂环境、多径效应、人体遮挡等因素，使得TOA测距产生较大的测距误差且误差分布是非高斯的.因此，相对于定向算法实际上是模板匹配的算法，在3种典型的模板匹配算法的基础上，实现了二次匹配算法，并对二次匹配中的关键参数进行了最优取值的分析，实现了高精度的水平方向检测，定向精度达到了正负4度，准确度相对于单匹配方法提高了9%. |
| 关键词: 相对定位 旋转定位 子模板匹配 超宽带 TOA测距 |
| DOI： |
| 分类号: |
| 基金项目:国家自然科学基金（61671056，61302065，61304257，61402033）；北京市自然科学基金（4152036） |
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| Indoor Rotation Relative Orientation Algorithm |
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DUAN Shi-Hong, LIU Yan-Zhong, HE Jie
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School of Computer Science and Communication Engineering, Univerisyt of Science and Technology Beijing, Beijing 100083, China
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| Abstract: |
| This paper proposes a rotational direction algorithm based on time of arrival (TOA) ranging with UWB transmission equipment. During rotating UWB receiver around the human body, the maximum and minimum ranging can confirm the relative direction of the transmitter and receiver. But in the indoor complex environment, multipath effect, human body will cause large TOA ranging errors and error distribution is non-Gaussian. So, the relative orientation is indeed a template matching problem. This paper implements the secondary matching scheme, and analyzes the key parameters in the secondary matching for optimal value analysis and realizes high-precision horizontal direction detection. 4 degrees deviation is achieved, and the accuracy is improved by 9% relative to the single match method. |
| Key words: relative positioning rotation positioning template matching ultra wide band TOA ranging |
