@inproceedings{86455ca0b66d46c1bdf2db39b24b1db7,
title = "Weak signal detection based on deep learning",
abstract = "Weak signal detection of radio communication signals in complex background noise is an essential part of modern signal processing science. Despite wide application of classical process in various signal detection tasks, the exclusive filter in terms of background noise of radio channel impedes the deployment on modern complex electromagnetism environment. This study introduces a new method of radio signal detection via convolutional neural network (CNN) and bounding box regression. This approach has improved the recent performance of computer vision for object detection. Numerous experiments have shown that Faster R-CNN can accurately detect signal portion in noise, while achieving high-level contextual understanding with millisecond latency compared to traditional schemes.",
keywords = "Bounding box regression, Convolutional neural network, Signal detection",
author = "Tao Cheng and Chunhui Liu and Wenrui Ding",
note = "Publisher Copyright: {\textcopyright} 2019 Association for Computing Machinery.; 4th International Conference on Multimedia Systems and Signal Processing, ICMSSP 2019 ; Conference date: 10-05-2019 Through 12-05-2019",
year = "2019",
month = may,
day = "10",
doi = "10.1145/3330393.3330409",
language = "英语",
series = "ACM International Conference Proceeding Series",
publisher = "Association for Computing Machinery ",
pages = "114--118",
booktitle = "ICMSSP 2019 - 2019 4th International Conference on Multimedia Systems and Signal Processing",
address = "美国",
}