摘要
在空间相机中,温度传感器输出的信号易受到噪声的干扰从而造成有用信号的淹没,因此研究适用于温度信号的噪声抑制方法具有重要的实用价值。本文对干扰温度信号的噪声来源进行了综合分析,并针对温度信号所含噪声的特点,采用中值滤波法和小波阈值滤波的复合数字滤波算法相结合,对温度信号进行滤波,实现了信噪分离的目的,提高了信噪比,并通过MATLAB的仿真功能对输出的信号进行验证。仿真表明,这两种方法的混合使用对温度信号的噪声的抑制有明显的效果。
The signal from temperature sensors which lie in the space camera is easily disturbed by noises ,which leads to the submergence of usefill signals.therefore,it is valuable to study the method of suppressing noise.This paper analyzes the source of noise and utilizes median filter to fiter the heavy value noise,using the wavelet threshold value filter to do the low-frequency filter.This method not only real- izes the separation of signal and noises,but also makes use of emulation functions of Matlab to verify lhe temperature signal.The result shows that the combination of the two is very effective to suppress the noise of temperature signal.
出处
《微计算机信息》
北大核心
2008年第21期205-206,53,共3页
Control & Automation
