Automatic Recognition Algorithm for Wireless Network Communication Joint Modulation Based on Blockchain Technology

With the development of digital equipment applications related to communication modulators, research on amplitude and phase optimization of digital signals and calibration of acquisition and processing has become increasingly important. In the entire wireless network communication joint modulation automatic recognition, how to optimize the system recognition accuracy and efficiency is currently a key issue that needs to be urgently solved. This article analyzes the current situation of wireless communication joint modulation, utilizes the updated membership matrix and the calculation formula for assigning signal sample points to the feature set, and combines the designed automatic recognition algorithm to construct an improved system. The following conclusion is drawn: the average recognition accuracy of the system on the six selected modulation signal samples is improved by about
$11.8{{\% }}$
, and the average recognition efficiency of the system is improved by about 9.4%. This indicates that the wireless network communication joint modulation automatic recognition algorithm based on blockchain technology has good practical application effects. This research aims to improve the efficiency and reliability of communication systems, simplify system configuration and management, and promote the development of multimodal communication.