Kalman滤波器在医用超声诊断设备声功率计量中的应用

介绍一种医用超声诊断设备声功率计量数据的处理方法。对同一台医用超声诊断设备的同一个换能器多次测量声功率，将测量的数据建立恰当的数学模型，应用Kalman滤波器算法对其进行处理，去除超声诊断设备及换能器本身的声功率输出波动和超声声功率计的测量不稳定误差，最后得到一个相对稳定、真实的超声声功率。经过Kalman滤波嚣处理的超声功率测量数据大大改善了超声功率的测量结果的离散性，与常用的均值处理方法相比，它的结果更能反映超声功率的真实情况，值得推广应用到其它计量数据的处理中。

Application of Kalman filter to measurement of sound power for medical ultrasonic diagnostic equipment

A data processing method for the sound power of the medical ultrasonic diagnostic equipment is introduced in this paper. The sound power for the transducer of a medical ultrasonic diagnostic equipment is measured for many times, and then the mathematical model based on the measurement data above is processed with Kalman filter. The output fluctuations for sound power of the equipment and its transducer as well as the measurement errors of sound power meter are eliminated to achieve the true value of sound power. Compared with other mean methods, the method above can improve the dicreteness of the measurements, and thus is worth being applied to processing other measured data.