Research on Feature Enhancement Method of Ship Sonar Signal Based on Factor Graph
This article takes ship sonar detection signals as the research object and establishes a factor graph model based on time series.Firstly,use a factor graph model to describe the underwater acoustic signal variables detected by sonar.Secondly,integrating sonar signals from continuous time series scenarios and adopting a global optimization strategy to enhance credibility.Finally,compare the traditional Kalman filtering algorithm with the factor graph algorithm through simulation to verify the effectiveness of the algorithm.The simulation results show that the signal feature enhancement effect obtained by using the factor graph algorithm is better than that of the Kalman filtering algorithm.
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