摘要
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。
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.
出处
《电子技术应用》
北大核心
2014年第9期17-20,23,共5页
Application of Electronic Technique
关键词
希尔伯特算法
瞬时频率
加速度
卡尔曼滤波
Hilbert algorithm
instantaneous frequency
acceleration
Kalman filter
