Blind Classification of Line-Coding Schemes Based on Characteristic Features
Jang-Hoon Oh, Jinwoo Jeong, Yeonsoo Jang, Jaeyoon Lee, Dongweon Yoon · IEEE Access · 2017
In modern defense technology, signal intelligence plays an important role in military operations as an intelligence source. Among its target signals, telemetry and telecommand signals can use line-coding schemes for their advantageous properties in the presentation of binary data of transmission systems. Therefore, in a non-cooperative context, blind classification of the line-coding scheme is the final crucial step in recovering target information from an unknown received signal. In this paper, we examine the characteristic features of line-coding schemes and then propose a simple blind classification algorithm for the schemes. We also analyze correct classification probabilities of the proposed algorithm in a noiseless and noisy environment through computer simulations. The proposed method can discern line-coding schemes, allowing reconstruction of the original information data.