TY - CHAP

T1 - Real time channel estimation based on fuzzy logic

AU - Arani, Faramarz

AU - Smietana, R.

AU - Honary, B.

N1 - "©1995 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE." "This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder."

PY - 1995

Y1 - 1995

N2 - The use of real time channel estimation information is known to result in significant performance advantages in coded systems operating on fading channels. Little work has been done in fast and accurate channel signal to noise ratio estimation in a very noisy channels (SNR<0 dB). In this paper, a new real time channel estimation technique using the Viterbi algorithm and fuzzy logic concepts is presented

AB - The use of real time channel estimation information is known to result in significant performance advantages in coded systems operating on fading channels. Little work has been done in fast and accurate channel signal to noise ratio estimation in a very noisy channels (SNR<0 dB). In this paper, a new real time channel estimation technique using the Viterbi algorithm and fuzzy logic concepts is presented

U2 - 10.1109/ISIT.1995.535804

DO - 10.1109/ISIT.1995.535804

M3 - Chapter

SN - 0-7803-2453-6

SP - 289

EP - 289

BT - Proceedings of the IEEE International symposium on Information Theory, 1995

PB - IEEE

CY - Whistler, BC

ER -