University of Tabriz Tabriz Journal of Electrical Engineering 2008-7799 46 4 2016 10 02 Detection of Link 16 Signal Detection of Link 16 Signal 77 84 5258 FA Journal Article 2015 12 05 <strong>Abstract</strong><strong>: </strong>Detection of link 16 signal, i.e. identifying the presence/absence of this system in battlefield, is of great interest. In this paper, a new method for detection of link 16 signal is proposed with a very lower complexity and better performance compared to the current methods. Due to the periodic nature of transmitted energy, three different features are defined and extracted which result in a detection probability more than 80% for the values of signal to noise ratio around -16 dB. Since this method extracts suitable features from the sampled signal and applies simple rules which are obtained via machine learning, it can be realized in real-time practical detection systems. <strong>Abstract</strong><strong>: </strong>Detection of link 16 signal, i.e. identifying the presence/absence of this system in battlefield, is of great interest. In this paper, a new method for detection of link 16 signal is proposed with a very lower complexity and better performance compared to the current methods. Due to the periodic nature of transmitted energy, three different features are defined and extracted which result in a detection probability more than 80% for the values of signal to noise ratio around -16 dB. Since this method extracts suitable features from the sampled signal and applies simple rules which are obtained via machine learning, it can be realized in real-time practical detection systems. https://tjee.tabrizu.ac.ir/article_5258_5c58992b6de767913f4b645440c44ea5.pdf