A5014742122- Lexicography and Language Studies
- Natural Language Processing Techniques
- Power Line Communications and Noise
- Blind Source Separation Techniques
- Advanced Computational Techniques and Applications
- Cognitive Radio Networks and Spectrum Sensing
- EFL/ESL Teaching and Learning
- Second Language Learning and Teaching
- Translation Studies and Practices
- Language, Metaphor, and Cognition
- Sepsis Diagnosis and Treatment
- Higher Education and Teaching Methods
- Advanced Adaptive Filtering Techniques
- Preterm Birth and Chorioamnionitis
- Service-Oriented Architecture and Web Services
- Neural Networks and Applications
- Simulation and Modeling Applications
- Linguistic Variation and Morphology
- Radar Systems and Signal Processing
- Advanced Decision-Making Techniques
- Distributed Sensor Networks and Detection Algorithms
- Second Language Acquisition and Learning
- Linguistics and Cultural Studies
- Neonatal and Maternal Infections
- Lipid metabolism and disorders
National University of Defense Technology
2015-2019
Central China Normal University
2006-2011
Nanyang Medical College
2011
Hunan University of Science and Technology
2004
Hunan Normal University
2003-2004
The rotating element electric field vector (REV) method is a classical measurement technique for phased array calibration. Compared with other calibration methods, it requires only power measurements. Thus, the REV more reliable operating systems. However, since phase of each must be rotated from 0 to 2π, conventional large number Moreover, composite doesn't vary significantly because single element's rotated. can easily degraded by receiver noise. A simplified combined Hadamard group...
The detection problem in impulsive noise modeled by the symmetric alpha stable <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M1"><mml:mrow><mml:mrow><mml:mfenced open="(" close=")" separators="|"><mml:mrow><mml:mtext>S</mml:mtext><mml:mi>α</mml:mi><mml:mtext>S</mml:mtext></mml:mrow></mml:mfenced></mml:mrow></mml:mrow></mml:math> distribution is studied. traditional detectors based on second or higher order moments fail...
The symmetric alpha stable distribution is a good model for impulsive interference and has gained much attention. However, most of the traditional detectors are based on assumption that transmission signal known to receivers. In non-cooperative applications such as battlefield communications, knowledge intercepted hardly available. How detect without prior remains challenge problem. To solve problem, detector Kolmogorov-Smirnov (K-S) test proposed. Simulation results show new can compare...
Signal detection in symmetric alpha-stable ( S α ) distributed noise is a challenging problem.This paper proposes detector based on decreasing exponential function (DEF).The DEF can effectively suppress the impulsive and achieve good performance presence of noise.The analytical expressions false alarm probabilities are derived, parameter optimization for discussed.A analysis shows that has much lower computational complexity than Gaussian kernelized energy (GKED), it performs better latter...
Spectrum sensing is a fundamental requirement for cognitive radio, and it challenging problem in impulsive noise modeled by symmetric alpha-stable (SαS) distributions. The Gaussian kernelized energy detector (GKED) performs better than the conventional detectors SαS distributed noise. However, fails to detect DC signal has high computational complexity. To solve these problems, this paper proposes more efficient robust based on function (GF). analytical expressions of detection false alarm...