Passive Radar Signal Sorting Method Based on Improved Information Entropy

Depending on expert experience to assign weights is a traditional passive radar signal sorting method, including passive radiation source information (such as signal source azimuth, pulse width, repetition period, carrier frequency, etc.). However, this method is influenced by subjective experience, and manual experience methods have disadvantages such as strong subjectivity and high arbitrariness. In response to the problem of excessive expert experience in traditional passive radar signal sorting, this study proposes an improved information entropy method to calculate the weights of relevant information from passive radiation source information. The improved information entropy method has the characteristics of theoretical perfection, qualitative and quantitative combination, and scientific weight setting. This article first uses existing data to calculate the initial weight matrix of the associated information. Second, it obtains the associated weights based on the initial weight matrix. Once again, it proposes conflict mitigation strategies to eliminate inconsistencies. Then it performs correlation verification on the radiation source information to improve its practicality. Finally, this study was experimentally validated using the expert assignment method, and the experimental results showed the effectiveness and optimization of this method.