Results 221 to 230 of about 170,227 (256)

Artificial Noise in Adaptive Arrays

IEEE Transactions on Aerospace and Electronic Systems, 1978
"Artificial noise," or the connection of feedback paths around the the integrators, is shown to be an effective method of dealing with the problem of multiplier offsets in adaptive antennas. This probl which was analyzed by Compton [1] is particularly troubles when the covariance matrix is singular or nearly so.
exaly   +2 more sources

Secure Spatial Modulation Based on Artificial Noise

2018 IEEE/CIC International Conference on Communications in China (ICCC), 2018
A secure spatial modulation based on artificial noise (AN-SM) is proposed. Different from the traditional spatial modulation schemes, the legitimate channel state information is utilized to convey part of information bits instead of amplitude phase modulation (APM) constellation.
Peng Zhang, Shuangshuang Han
openaire   +2 more sources

Identification of Tones with Noises by Artificial Intelligence

2020 28th National Conference with International Participation (TELECOM), 2020
The paper presents the results of the application of artificial backpropagation neural networks in identification of signal frequency tones with different RMS noise level. The Levenberg-Marquardt (LM) and Scaled Conjugate Gradient (SCG) training algorithms were applied in the processes of neural synthesis.
Ivelina Stefanova Balabanova, Stela Savova Kostadinova, Valentina Ilieva Markova, Georgi Ivanov Georgiev   +3 more
openaire   +1 more source

Measuring noise level reduction using an artificial noise source

The Journal of the Acoustical Society of America, 2015
Residences near airports may be subjected to significant noise levels. The impact of aircraft traffic noise imposes a higher level of design consideration for the outdoor-to-indoor transmission of sound for residences. Noise Level Reduction (NLR) is a common metric used to quantify the ability for a building element to reduce the transmission of ...
Rene Robert, Kenneth Cunefare, Erica Ryherd, Javier Irizarry   +3 more
openaire   +1 more source

Secret communication using artificial noise

VTC-2005-Fall. 2005 IEEE 62nd Vehicular Technology Conference, 2005., 2006
The problem of secret communication between two nodes over a wireless link is considered, where a passive eaves- dropper may overhear the communication. It is desired that the eavesdropper be unable to decode the message. We show that secrecy can be achieved by adding artificially generated noise to the information bearing signal such that it does not ...
R. Negi, S. Goel
openaire   +1 more source

Single image noise level estimation by artificial noise

Signal Processing, 2023
Fang Li 0004, Faming Fang, Zhi Li 0080, Tieyong Zeng   +3 more
openaire   +1 more source

Fingerprint Embedding Authentication with Artificial Noise: MISO Regime

2019 IEEE Conference on Communications and Network Security (CNS), 2019
We apply artificial noise to the fingerprint embedding authentication framework to improve information-theoretic authentication for the MISO channel. Instead of optimizing for secrecy capacity, we examine the trade-off between message rate, authentication, and key security.
Jake Bailey Perazzone, Paul L. Yu, Brian M. Sadler, Rick S. Blum   +3 more
openaire   +2 more sources

Secrecy signal and artificial noise designs in cellular network

2015 IEEE China Summit and International Conference on Signal and Information Processing (ChinaSIP), 2015
In this paper, we propose a new method of secrecy signal and artificial noise (AN) transmission for a MISO wiretap channel in wireless cellular networks. We first design the secrecy signal beamformer such that its power leakage to the unintended directions is minimized, then we concentrate the AN on the directions with higher risk of information ...
Huiming Wang 0001, Feng Liu 0010
openaire   +2 more sources

Artificial Noise Scheme for Correlated MISO Wiretap Channels

IEEE Transactions on Vehicular Technology, 2019
This correspondence paper studies how correlation of the wiretap channel affects the secrecy rate of the artificial noise (AN) scheme. To this end, we first develop a simple but tight lower bound on the ergodic secrecy rate of the AN scheme on correlated multiple-input single-output wiretap channels.
Sangseok Yun, Il-Min Kim 0001, Jeongseok Ha   +2 more
openaire   +1 more source

Preventing Eavesdropper by Artificial Noise in MIMO-OFDM Systems

Wireless Personal Communications, 2018
The PHY security has been the focus of the researchers since the day it was proposed. The researchers have mentioned many kinds of methods to prevent the eavesdropper from overhearing the confidential signal in different types of networks and environments. However, none of them have proposed a method which can be used in MIMO-OFDM.
Tao Jing, Zhen Li 0002, Liwen Jiang, Yan Huo 0001   +3 more
openaire   +2 more sources