作者：
Ucan, Serkan;Nuhoglu, Mustafa Atahan;Yildirim, Berkin;Cirpan, Hakan Ali
通讯作者：
Uçan, S
作者机构：
ASELSAN AS, Radar Elekt Harp Direktorlugu, Ankara, Turkiye.
Istanbul Tech Univ, Elekt & Elekt Fak, Istanbul, Turkiye.
通讯机构：
ASELSAN AS, Radar Elekt Harp Direktorlugu, Ankara, Turkiye.
Istanbul Tech Univ, Elekt & Elekt Fak, Istanbul, Turkiye.
语种：
英文
关键词：
LPI radars,FMCW,frequency jump,deep learning
期刊：
2023 31ST SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE, SIU
ISSN：
2165-0608
年：
2023
会议名称：
31st IEEE Conference on Signal Processing and Communications Applications (SIU)
会议时间：
JUL 05-08, 2023
会议地点：
Istanbul Tech Univ, Ayazaga Campus, Istanbul, TURKEY
摘要：
LPI radars aim to both perform their own functions and not be detected by their targets by transmitting at low power. For this purpose, they usually perform frequency modulation (linear incremental, triangular, frequency shift keying, etc.) within the signal. Due to the development of cognitive electronic warfare systems, it is essential to characterize the behavior of these radars automatically. We propose three different deep learning models to solve the less studied automatic parameter estimation problem compared to the LPI radar frequency modulation classification problem, which has been extensively researched in the literature. We designed these models as convolution...
