Study on Weak Signal Perception of Optical Communication Network System Based on Double Sparse Dictionary Model

The traditional weak signal sensing method for optical communication network system has the problem of large sensing error. Therefore, a weak signal sensing method for optical communication network system based on double sparse dictionary model is proposed. The general frame of weak signal sensing method for optical communication network system based on double sparse dictionary model is built. According to the overall framework, a double-sparse dictionary model is established to train the sample weak signals and realize the sparse coding and dictionary update of the weak signals. Orthogonal matching tracking algorithm is used to realize sparse reconstruction of weak signals and accurate perception of weak signals in optical communication networks. Compared with the traditional method, the experimental results show that the proposed method has less error, can more accurately perceive the weak signal of optical communication network system, and has strong practicability.