scholarly journals Signal Detection Scheme in Ambient Backscatter System With Multiple Antennas

IEEE Access ◽  
2017 ◽  
Vol 5 ◽  
pp. 14543-14547 ◽  
Author(s):  
Chang-Hee Kang ◽  
Won-Seok Lee ◽  
Young-Hwan You ◽  
Hyoung-Kyu Song
Keyword(s):  
Signal Detection ◽  
Multiple Antennas ◽  
Detection Scheme ◽  
Ambient Backscatter

scholarly journals Deep Transfer Learning-Assisted Signal Detection for Ambient Backscatter Communications

2020 ◽  
Author(s):  
Chang Liu ◽  
Xuemeng Liu ◽  
Zhiqiang Wei ◽  
Derrick Wing Kwan Ng ◽  
Jinhong Yuan ◽  
...  
Keyword(s):  
Signal Detection ◽  
Transfer Learning ◽  
Ambient Backscatter

Exploiting Multiple Antennas for Cognitive Ambient Backscatter Communication

2019 ◽  
Vol 6 (1) ◽  
pp. 765-775 ◽  
Author(s):  
Huayan Guo ◽  
Qianqian Zhang ◽  
Sa Xiao ◽  
Ying-Chang Liang
Keyword(s):  
Multiple Antennas ◽  
Backscatter Communication ◽  
Ambient Backscatter

scholarly journals GPS Signal Detection under Multiplicative and Additive Noise

2012 ◽  
Vol 66 (4) ◽  
pp. 479-500 ◽  
Author(s):  
P. Huang ◽  
Y. Pi ◽  
I. Progri
Keyword(s):  
Signal Detection ◽  
Urban Areas ◽  
Multiplicative Noise ◽  
Additive Noise ◽  
Power Level ◽  
Signal Propagation ◽  
Signal Acquisition ◽  
Detection Scheme ◽  
Additive And Multiplicative Noise ◽  
Gps Signal Acquisition

In some Global Positioning System (GPS) signal propagation environments, especially in the ionosphere and urban areas with heavy multipath, GPS signal encounters not only additive noise but also multiplicative noise. In this paper we compare and contrast the conventional GPS signal acquisition method which focuses on handling GPS signal acquisition with additive noise, with the enhanced GPS signal processing under multiplicative noise by proposing an extension of the GPS detection mechanism, to include the GPS detection model that explains detection of the GPS signal under additive and multiplicative noise. For this purpose, a novel GPS signal detection scheme based on high order cyclostationarity is proposed. The principle is introduced, the GPS signal detection structure is described, the ambiguity of initial PseudoRandom Noise (PRN) code phase and Doppler shift of GPS signal is analysed. From the simulation results, the received GPS signal at low power level, which is degraded by additive and multiplicative noise, can be detected under the condition that the received block of GPS data length is at least 1·6 ms and sampling frequency is at least 5 MHz.

SIGNAL DETECTION ENHANCED BY COMODULATED NOISE

2006 ◽  
Vol 06 (04) ◽  
pp. L339-L347 ◽  
Author(s):  
MICHAEL BUSCHERMÖHLE ◽  
ULRIKE FEUDEL ◽  
GEORG M. KLUMP ◽  
MARK A. BEE ◽  
JAN A. FREUND
Keyword(s):  
Signal Detection ◽  
Auditory System ◽  
Background Noise ◽  
Frequency Resolution ◽  
General Phenomenon ◽  
Detection Scheme ◽  
Hearing Research ◽  
Limited Frequency ◽  
Detection Of Signals ◽  
Comodulated Noise

Signal detection in fluctuating background noise is a common problem in diverse fields of research and technology. It has been shown in hearing research that the detection of signals in noise that is correlated in amplitude across the frequency spectrum (comodulated) can be improved compared to uncorrelated background noise. We show that the mechanism leading to this effect is a general phenomenon which may be utilized in other areas where signal detection in comodulated noise needs to be done with a limited frequency resolution. Our model is based on neurophysiological experiments. The proposed signal detection scheme evaluates a fluctuating envelope, the statistics of which depend on the correlation structure across the spectrum of the noise. In our model, signal detection does not require a sophisticated neuronal network but can be accomplished through the encoding of the compressed stimulus envelope in the firing rate of neurons in the auditory system.

scholarly journals A Novel Signal Detection Scheme Based on Adaptive Ensemble Deep Learning Algorithm in SC-FDE Systems

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 123514-123523 ◽  
Author(s):  
Yuanjian Qiao ◽  
Jun Li ◽  
Bo He ◽  
Wenxin Li ◽  
Tongliang Xin
Keyword(s):  
Deep Learning ◽  
Signal Detection ◽  
Learning Algorithm ◽  
Detection Scheme ◽  
Deep Learning Algorithm

scholarly journals Iterative Signal Detection Scheme Using Multilayer Perceptron for a Bit-Patterned Media Recording System

2020 ◽  
Vol 10 (24) ◽  
pp. 8819
Author(s):  
Seongkwon Jeong ◽  
Jaejin Lee
Keyword(s):  
Signal Detection ◽  
Data Storage ◽  
Multilayer Perceptron ◽  
A Priori ◽  
Magnetic Data ◽  
Bit Patterned Media ◽  
Detection Scheme ◽  
Patterned Media ◽  
Storage Density ◽  
Priori Information

Because of the physical and engineering problems of conventional magnetic data storage systems, bit-patterned media recording (BPMR) is expected to be a promising technology for extending the storage density to beyond 1 Tb /in2. To increase the storage density in BPMR systems, the separation between islands in both down- and cross-track directions must be reduced; this reduction results in two-dimensional interference from neighboring symbols in those directions, which is a major performance degradation factor in BPMR. Herein, we propose an iterative signal detection scheme between a Viterbi detector and a multilayer perceptron to improve the performance of a BPMR system. In the proposed signal detection scheme, we use the modified output of a multilayer perceptron as a priori information to improve equalization and extrinsic information to decrease the effect of intertrack interference.

Sign in / Sign up

Export Citation Format

Share Document