Pseudo Pilot: A Novel Paradigm of Channel Estimation
Ma, Yi (2016) Pseudo Pilot: A Novel Paradigm of Channel Estimation IEEE Signal Processing Letters, 23 (6). pp. 814-818.
|
Text
Pseudo_R3S.pdf - Accepted version Manuscript Available under License : See the attached licence file. Download (193kB) | Preview |
|
|
Text (licence)
SRI_deposit_agreement.pdf Available under License : See the attached licence file. Download (33kB) | Preview |
Abstract
The aim of this article is to share a novel concept termed pseudo pilot, which offers a simple and efficient approach of non-pilot-assisted channel estimation. Our key idea is to transfer the uncertainty of several payload symbols into the uncertainty of symbol interleavers by employing a bank of interleavers at the transmitter. Those uncertainty-transferred symbols serve as pseudo pilots for the receiver to perform channel estimation. The uncertainty of symbol interleavers is then removed in the procedure of decoding. Performance and scalability of the pseudo pilot technique are evaluated through both theoretical analysis and computer simulations.
Item Type: | Article | ||||||
---|---|---|---|---|---|---|---|
Subjects : | subj_Electronic_Engineering | ||||||
Divisions : | Faculty of Engineering and Physical Sciences > Electronic Engineering | ||||||
Authors : |
|
||||||
Date : | 15 April 2016 | ||||||
DOI : | 10.1109/LSP.2016.2554886 | ||||||
Copyright Disclaimer : | © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | ||||||
Related URLs : | |||||||
Depositing User : | Symplectic Elements | ||||||
Date Deposited : | 15 Apr 2016 13:41 | ||||||
Last Modified : | 16 Jan 2019 17:03 | ||||||
URI: | http://epubs.surrey.ac.uk/id/eprint/810449 |
Actions (login required)
![]() |
View Item |
Downloads
Downloads per month over past year