Estimation of Convolutional Interleaver in a Non-cooperative Context

Citations

SCOPUS

5

초록

In this paper, we propose the method for blind estimation of convolutional interleaver parameters in a noncooperative context by analysing repetitive patterns in interleaved sequences. Simulation results verify that proposed method could effectively estimate convolutional interleaver parameters in a noisy environment.

키워드

blind estimationblock codeconvolutional interleavergaussian eliminationrankBlind estimationsInterleaved sequenceInterleaversNoisy environmentNon-cooperativeRepetitive patternConvolution
제목
Estimation of Convolutional Interleaver in a Non-cooperative Context
저자
Kim, YoonjiKim, GeunbaeYoon, Dongweon
DOI
10.23919/ICACT48636.2020.9061439
발행일
2020-02
유형
Conference Paper
저널명
International Conference on Advanced Communication Technology, ICACT
2020
페이지
228 ~ 230