Entropy Characteristics Of The Dust Particle Counter Photoelectric Sensor Signal

In the long-term telecommunications projects in practice, Information Theory, combined with Probability Theory, Random Process of Mathematics and Statistics, is an emerging science developed gradually. With the continuous deepening of the concept of information, it has been far beyond the narrow scope of the telecommunications projects. In many areas, science workers pay more and more attention on it.First, this paper uses information theory to analyze measurement system. According to the components of the measurement system (object under test, measurement results and measuring process) is uncertainty; this uncertainty reflects the measurement system with the characteristics of information. Then, this article descripts the measurement system in entropy. According to the information entropy of the measurement system, this paper specifically analyzes the information characteristics of photoelectric sensor system in the optical particles counter, and gradually establishes an entropy model of optical particle count measurement process.Secondly, according to the information entropy of the signal range probability distribution, this paper analyzes two different ways to partition counting channels. Also this paper calculates the information entropy of the signal range probability distribution. Considering the relationship between precision in the measuring and the information entropy, it helps optimizing the selection of channels.