基于ARM的波浪浮标设计

针对波浪的频率提取，提出了基于ARM与Linux系统的波浪浮标。以32位SP5V210作为核心处理器，扩展了加速度传感器模块、GPS定位及GPRS网络传输模块。借助希尔伯特算法对采集到的加速度进行分解和计算，推算出波浪的瞬时频率；对角加速度进行卡尔曼滤波之后将其积分，获取浮体姿态角。最终将所需要的数据通过GPRS网络发送回监控中心。试验证明系统能够有效地实现瞬时频率的计算，保证各数据采集与发送的准确性与可靠性。...

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Bibliographic Details
Published in电子技术应用 Vol. 40; no. 9; pp. 17 - 20
Main Author 李俊文 刘惠康 张孝春
Format Journal Article
LanguageChinese
Published 武汉科技大学信息科学与工程学院,湖北武汉,430081%武汉大学土木建筑工程学院,湖北武汉,430072 2014
Subjects
加速度
卡尔曼滤波
希尔伯特算法
瞬时频率
加速度
Hilbert algorithm
acceleration
卡尔曼滤波
Kalman filter
瞬时频率
instantaneous frequency
希尔伯特算法
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ISSN0258-7998

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Summary:针对波浪的频率提取，提出了基于ARM与Linux系统的波浪浮标。以32位SP5V210作为核心处理器，扩展了加速度传感器模块、GPS定位及GPRS网络传输模块。借助希尔伯特算法对采集到的加速度进行分解和计算，推算出波浪的瞬时频率；对角加速度进行卡尔曼滤波之后将其积分，获取浮体姿态角。最终将所需要的数据通过GPRS网络发送回监控中心。试验证明系统能够有效地实现瞬时频率的计算，保证各数据采集与发送的准确性与可靠性。
Bibliography:For the extraction of wave frequency, a wave buoy that based on the ARM and Linux system is introduced. This system used SPSV210 which is a 32-bit controller as its control unit, expanding the acceleration sensor module, GPS and GPRS network transmission module.The acceleration is decomposed and calculated with the Hilbert algorithm,calculating the instantaneous frequency of wave. In order to acquire the attitude angle, we have to compute the integral of the angular acceleration which is through the Kalman filter. Finally, the necessary data is sent back to the monitoring center through the GPRS network. It is proved by practice that the system can effectively achieve the instantaneous frequency and ensure the stability and reliability of the data acquisition and transfer.
Hilbert algorithm ; instantaneous frequency ; acceleration ; Kalman filter
Li Junwen, Liu Huikang, Zhang Xiaochun （1.School of Information Science and Engineering,Wuhan University of Science and Technology,Wuhan 430081, China; 2.School of Civ
ISSN:0258-7998