Development and Proposal of Military Artificial Intelligence Battlefield Noise Cancellation Model for Secure Joint Operations

Abstract

The development of Fourth Industrial Revolution technologies distinct from past technologies is broadening the digital battlefield, to the point that geographic boundaries are becoming blurred. In line with this trend, the importance of operational security in wireless communication environments is growing, and the increasing sophistication and diversity of battlefield noise make operational control more challenging. To solve these problems, dual signal transformation long short-term memory network technology was leveraged in this study to eliminate battlefield noise in real time and to record the transmission time simultaneously and automatically by converting voice into text using text-to-speech technology to record battlefield situations. Moreover, during joint operations, this process transmits the SST content along with the original text after automatically translating it for the receiver, thus ensuring operational security. The proposed military artificial intelligence battlefield noise cancellation model is anticipated to be incorporated into the national defense weapons information system to serve as a foundation for successful joint operations in the future.