【摘要】 黑体腔透光是影响热辐射测温精度的主要因素之一,反映在测温信号中存在明显的高频噪声 和奇异性噪声。通过对黑体辐射功率密度与频率和温度的关系以及实际测温信号的频率特性的分析,利 用小波多分辨分解与重构去噪、非线性阈值法去噪和极大值法去噪相结合的方法,消除了因黑体腔透光 而引起的高频噪声和奇异性噪声,取得了与通过改进制作工艺来克服黑体腔透光问题一样的效果,从而 大大降低了热辐射温度传感器的生产成本。更多还原

【Abstract】 The light leakage of black body cavity is one of the main factors which affect the accuracy of temperature measurement. This is reflected in the fact that there are obvious high-frequency noises and singularity noises in measurement signals. This paper mainly discusses the use of de-noising methods of wavelet multi-scale resolution and reconstruct, wavelet non-linear threshold value filtering and wavelet modulus maximum. Through the analysis of the relation of the radiation power density and frequency to temperature and the analysis of the frequency characteristics of actual temperature signals, the methods are proposed to dispel the high-frequency noise and singularity noise caused by the light leakage of black body cavity. The use of the methods proposed ensures the same result through improving the making technology to overcome the light leakage of black body cavity and thus reduces the production cost of black body cavity greatly.更多还原