Title
Exponents of Hybrid Multi-Kernel Polar Codes
Abstract
Multi-kernel polar codes are constructed from the Kronecker product. For ordinary multi-kernels, constituent polarizing matrices of the same stage are identical. However, in a stage, applying different constituent matrices based on channel property can further improve performance. This family of polar codes is defined as hybrid multi-kernel polar codes. Exponents of hybrid multi-kernels are analyzed. The matrix of a hybrid multi-kernel is generated by a Kronecker-like product operation, and so are partial distances. All exponents of hybrid multi-kernels take values between the maximum and the minimum exponents among all constituent matrices. Exponents are related to the error probability of the original channel and exhibit a trend of convergence as block-length increases. The convergence rate is also related to the original error probability.
Year
DOI
Venue
2018
10.1109/ISTC.2018.8625322
2018 IEEE 10th International Symposium on Turbo Codes & Iterative Information Processing (ISTC)
Keywords
Field
DocType
exponent,polar codes,hybrid multi-kernel,partial distances
Convergence (routing),Applied mathematics,Kronecker product,Exponent,Matrix (mathematics),Communication channel,Polar,Rate of convergence,Multi kernel,Mathematics
Conference
ISSN
ISBN
Citations 
2165-4700
978-1-5386-7049-1
0
PageRank 
References 
Authors
0.34
3
3
Name
Order
Citations
PageRank
Lei Cheng1122.60
Zhang, L.255.85
Qiang Sun300.68