Radar target detection (RTD) is a fundamental but important process of the radar system,
which is designed to differentiate and measure targets from a complex background. Deep …

Given the functions and performance advantages of passive radar, this paper first reviews
the research history of passive radar for more than 80 years and then examines the research …

该文从新体制被动雷达的功能和性能优势出发, 首先简要回顾了被动雷达长达80
余年的研究历程; 然后较为全面地介绍了相关关键技术的研究进展, 包括参考信号重构 …

Recently, the matrix information geometry (MIG) detectors have been speedily developed
and demonstrated satisfactory performance in numerous applications. However, the MIG …

In recent years, digital broadcasting signals, like Digital Audio/Video Broadcast (DAB/DVB),
have received increasing attention in the passive radar system. Most of these digital …

Typical radar detectors exploit only a small proportion of the valuable information contained
in radar reflections, ie magnitude and Doppler. A neural network-based approach for …

Current methods for radar target detection usually work on the basis of high signal-to-clutter
ratios. In this paper we propose a novel convolutional neural network based dual-activated …

This paper presents an automatic and robust, image feature-based target extraction, and
classification method for multistatic passive inverse synthetic aperture radar range/cross …

Time-varying clutter suppression is challenging in passive radar. Although some existed
methods are robust against the time-varying clutter, they bear heavy computational burden …

Data acquisition and treatment are key issues for any Deep Learning (DL) technique,
especially in computer vision tasks. A big effort must be done for the creation of labeled …