The method of temperature measurement by acoustic pyrometers is based on the combination of acoustic wave and CT technique, and the accurate measurement of acoustic wave time of flight is the key link in its application. In the complex reverberation background condition, the traditional correlation algorithm could not overcome convolution interference, it may cause the multi-correlation peak values. In the application of acoustic pyrometer system,the generalized cepstrum correlation algorithm can transform the product and convolution homomorphism system to linear system by using cepstrum operation, thereby, this algorithm can separate product signals or convolution signals, filter the product and convolution interferences. The experimental result and theory proved that, compared to the traditional correlation function analytical algorithm,the new cepstrum algorithm can overcome the convolution interferences from reverberation,and sharpen peak value, thereby estimate the time delays of signals.%声温法是基于声波与CT技术相结合的非接触测温法,声波信号飞渡时间的精确测量是温度场检测的关键环节.在复杂混响的背景环境下,传统的相关算法已无法克服卷积性干扰,可能会出现多相关峰值的处理结果.基于广义倒谱的相关分析算法在声温法温度检测应用中,利用倒谱运算将乘积同态系统与卷积同态系统变换成线性系统,从而分离乘积信号或卷积信号,并滤除乘积性干扰与卷积性干扰.理论与实验测量表明,与传统相关函数分析算法进行比较,新倒谱算法能够有效地克服混响的卷积干扰,并锐化峰值,从而准确估计出声信号的时延.
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