Results 221 to 230 of about 20,008 (265)
Some of the next articles are maybe not open access.
A Blanket Deception Jamming Rejection Approach Based on Jamming Sample Recognition
2007 International Conference on Microwave and Millimeter Wave Technology, 2007Blanket deception jamming is characteristic of both noise jamming and deception jamming, which cause some traditional anti-jamming measures invalid such as sidelobe canceling and sidelobe blanking and so on. In this work, an approach of time-space cascade adaptive sidelobe canceling based on jamming sample recognition is presented. Even when the number
Lingyan Dai +3 more
openaire +1 more source
Jamming pattern recognition based on complexity measure
2010 3rd International Congress on Image and Signal Processing, 2010A novel fuzzy jamming recognition approach based on complexity measure of received signal is proposed. The proposed algorithm exploits the LZ complexity and box dimension of received signal as classified characters of jamming pattern. After the mean center and variance of each jamming pattern are calculated by some jamming samples, exponential fuzzy ...
Yingtao Niu, Yu Cheng, Jianzhong Chen
openaire +1 more source
Compound radar jamming recognition based on signal source separation
Signal ProcessingHongping ZHOU, lei Wang, Zhongyi Guo
exaly +2 more sources
Fast Recognition of Pull-Off Jamming Using LSTM
2019 IEEE International Conference on Signal, Information and Data Processing (ICSIDP), 2019Facing the complex electromagnetic environment, the fast and precise recognition of the type of jamming singals plays an indispensable role for rader to achieve effective electonic counter-counermeasures (ECCM). The implementation of pull-off jamming can be considered as a gradually separation of the true and false targets in the tracking gate of the ...
Ying Qin +3 more
openaire +1 more source
Research on Jamming Recognition Technology Based on Characteristic Parameters
2020 IEEE 5th International Conference on Signal and Image Processing (ICSIP), 2020The accurate jamming recognition in the complex electromagnetic environment is the basis and prerequisite for radar to take effective anti-jamming measures. Aiming at the problem of jamming recognition in complex electromagnetic environment, this paper studies a method of jamming recognition based on characteristic parameters.
Detao Su, Meiguo Gao
openaire +1 more source
Automatic recognition of follower jamming of frequency-hopping communication
2012 IEEE 14th International Conference on Communication Technology, 2012The follower jamming has a strong threat to the Frequency Hopping (FH) communication. Before the follower jamming is suppressed, the correct recognition of follower jamming should be completed. In this paper, the Frequency Hopping-Gaussian filtered minimum shift keying (FH-GMSK) communication system is adopted as the carrier to research the follower ...
Yun-bin Yan, Hou-de Quan, Ying Liu
openaire +1 more source
Research on Active Jamming Recognition in Complex Electromagnetic Environment
2019 IEEE International Conference on Signal, Information and Data Processing (ICSIDP), 2019With the development of electronic jamming technology, more and more active jamming is applied in electronic warfare. Because there are many kinds of jamming in complex electromagnetic environment, it is difficult for radar to recognize all kinds of jamming effectively.
Chang Xu +3 more
openaire +1 more source
Recognition of GNSS Jamming Patterns in ADS-B Data
2020 New Trends in Civil Aviation (NTCA), 2020With the increasing dependency on the Global Navigation Satellite System (GNSS) for navigation and surveillance, aviation is focusing on mitigation of threats caused by a possible system unavailability due to jamming or spoofing. This research deals with pattern recognition of the time evolution of quality indicators in transmitted Automatic Dependent ...
Petr Lukes +3 more
openaire +1 more source
Wireless Communication Jamming Recognition Based on Lightweight Residual Network
2020 IEEE 3rd International Conference on Electronics Technology (ICET), 2020Jamming recognition is an important part of communication anti-jamming. To precisely identify various wireless jamming, a lightweight residual network model was proposed. Firstly, signals received were transformed into time frequency images through Short Time Fourier Transform.
Xiaole Yang, Tianhui Fu, Yongbin Wang
openaire +1 more source
GNSS Spoofing Jamming Recognition Based on Machine Learning
2017While a vast amount of applications and services are based on the Global Navigation Satellite System (GNSS), GNSS needs to deal with jamming, and how to carry out spoofing jamming recognition is the key of achieving high accuracy performance. In this paper, we apply machine learning approaches to GNSS spoofing jamming recognition. In particular, first,
Pan Gao +3 more
openaire +1 more source