Paper Info
Title
Adaptive Psp-Mlse Using State-Space Based Rls For Multi-Path Fading Channels
Abstract
An adaptive per-survivor processing maximum likelihood sequence estimation (PSP-MLSE) using state-space based recursive least-squares (RLS) is proposed for rapidly time varying multi-path fading channels. Unlike PSP-MLSE using Kalman filtering, it does not require the knowledge of model statistics, and with an aid of state-space modeling, it has a robust performance to the fade rate, compared to PSP-MLSE using conventional RLS.
Year
DOI
Venue
2008
10.1093/ietcom/e91-b.12.4024
IEICE TRANSACTIONS ON COMMUNICATIONS
Keywords
DocType
Volume
per-survivor processing, maximum-likelihood sequence estimation, state-space modeling, RLS
Journal
E91B
Issue
ISSN
Citations 
12
0916-8516
1
PageRank 
References 
Authors
0.40
4
1
Name
Order
Citations
PageRank
Jung Suk Joo142.90