Target Tracking Algorithm for Multi-channel Information Transmission in Large Data Environment.

Because the traditional single-channel information transmission algorithm ignores the real-time control of the transmission data, the signal transmission tracking accuracy is low. For this reason, a target tracking algorithm for multi-channel information transmission in a big data environment is proposed. The algorithm solves the echo signal of each point, determines the transmission range of the multi-channel information, uses the interrupt mechanism to optimize the decoding algorithm, and obtains the position of the data of each point through the classification of the classifier, so as to realize the transmission target tracking of the multi-channel information. The traditional single-channel information transmission algorithm and the target tracking algorithm of multi-channel information transmission are compared and analyzed. The experimental results show that the information transmission and tracking accuracy of the multi-channel information transmission target tracking algorithm in the big data environment is better than that of the traditional single-channel information transmission algorithm The information transmission tracking accuracy is high, and it has a better information transmission tracking effect.