本文讨论应用一种叫做自适应噪声消除的信号处理技术来解决热释电探测器输出的噪声电平问题。考虑到探测系统与自调制源的关系,可以把输入信号看成是伪周期的。把自适应行增强器和尖峰序列输入这两种形式的自适应处理技术加以对比,证明这两种方法能改进信噪比,从而提高探测器性能。 This article discusses the application of a signal processing technique called adaptive noise cancellation to solve the problem of the noise level of a pyroelectric detector output. Taking into account the relationship between the detection system and self-modulation source, the input signal can be regarded as pseudo-periodic. Comparing two adaptive adaptive techniques, adaptive line boosters and spike sequences, proves that these two methods can improve signal-to-noise ratio and improve detector performance.