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Blind recognition of k/n rate convolutional encoders from noisy observation
被引量：
14
1
作者
Li Huang
wengu chen
+1 位作者
Enhong
chen
Hong
chen
《Journal of Systems Engineering and Electronics》
SCIE
EI
CSCD
2017年第2期235-243,共9页
Blind recognition of convolutional codes is not only essential for cognitive radio, but also for non-cooperative context. This paper is dedicated to the blind identification of rate k/n convolutional encoders in a noi...
Blind recognition of convolutional codes is not only essential for cognitive radio, but also for non-cooperative context. This paper is dedicated to the blind identification of rate k/n convolutional encoders in a noisy context based on Walsh-Hadamard transformation and block matrix (WHT-BM). The proposed algorithm constructs a system of noisy linear equations and utilizes all its coefficients to recover parity check matrix. It is able to make use of fault-tolerant feature of WHT, thus providing more accurate results and achieving better error performance in high raw bit error rate (BER) regions. Moreover, it is more computationally efficient with the use of the block matrix (BM) method. © 2017 Beijing Institute of Aerospace Information.
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关键词
Cognitive
radio
CONVOLUTION
Convolutional
codes
Error
correction
Hadamard
matrices
Hadamard
transforms
Linear
transformations
Mathematical
transformations
Matrix
algebra
Signal
encoding
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职称材料
题名
Blind recognition of k/n rate convolutional encoders from noisy observation
被引量：
14
1
作者
Li Huang
wengu chen
Enhong
chen
Hong
chen
机构
Computer Science and Technology
Graduate School
Institute of Applied Physics and Computational Mathematics
出处
《Journal of Systems Engineering and Electronics》
SCIE
EI
CSCD
2017年第2期235-243,共9页
基金
supported by the National Natural Science Foundation of China(11271050
11371183
+2 种基金
61403036)
the Science and Technology Development Foundation of CAEP(2013A0403020
2013B0403068)
文摘
Blind recognition of convolutional codes is not only essential for cognitive radio, but also for non-cooperative context. This paper is dedicated to the blind identification of rate k/n convolutional encoders in a noisy context based on Walsh-Hadamard transformation and block matrix (WHT-BM). The proposed algorithm constructs a system of noisy linear equations and utilizes all its coefficients to recover parity check matrix. It is able to make use of fault-tolerant feature of WHT, thus providing more accurate results and achieving better error performance in high raw bit error rate (BER) regions. Moreover, it is more computationally efficient with the use of the block matrix (BM) method. © 2017 Beijing Institute of Aerospace Information.
关键词
Cognitive
radio
CONVOLUTION
Convolutional
codes
Error
correction
Hadamard
matrices
Hadamard
transforms
Linear
transformations
Mathematical
transformations
Matrix
algebra
Signal
encoding
Keywords
Cognitive radio
Convolution
Convolutional codes
Error correction
Hadamard matrices
Hadamard transforms
Linear transformations
Mathematical transformations
Matrix algebra
Signal encoding
分类号
TN762 [电子电信—电路与系统]
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题名
作者
出处
发文年
被引量
操作
1
Blind recognition of k/n rate convolutional encoders from noisy observation
Li Huang
wengu chen
Enhong
chen
Hong
chen
《Journal of Systems Engineering and Electronics》
SCIE
EI
CSCD
2017
14
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