2013 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM) 2013
DOI: 10.1109/pacrim.2013.6625474
|View full text |Cite
|
Sign up to set email alerts
|

Capacity of iteratively estimated channels using LMMSE estimators

Abstract: This paper explores how iterative channel estimation, symbol detection and decoding at the receiver affects the achievable capacity compared with a non-iterative, purely pilotsbased scheme. First, a bound is put on the linear minimum mean-square error (LMMSE) estimator of doubly selective radio channels. Subsequently, a bound on the capacity using an LMMSE estimator is found. These bounds take into account the uncertainty in symbol detection on channel estimation, and incorporate the effect of channel estimati… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2016
2016
2021
2021

Publication Types

Select...
1
1

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(2 citation statements)
references
References 20 publications
0
2
0
Order By: Relevance
“…Since a matrix inversion is needed every time the transmitted signal in X changes, many scholars have proposed their improved methods, such as replacing the term ( XX H ) −1 in (8) with its expectation E ( XX H ) −1 to become LMMSE, a good case in point is the SVD algorithm proposed by Edfors and Sandell in [19]. Although the computational burden is reduced, their estimation performance is deteriorated owing to the non‐equivalent approximate transformation [25].…”
Section: Proposed Methodsmentioning
confidence: 99%
“…Since a matrix inversion is needed every time the transmitted signal in X changes, many scholars have proposed their improved methods, such as replacing the term ( XX H ) −1 in (8) with its expectation E ( XX H ) −1 to become LMMSE, a good case in point is the SVD algorithm proposed by Edfors and Sandell in [19]. Although the computational burden is reduced, their estimation performance is deteriorated owing to the non‐equivalent approximate transformation [25].…”
Section: Proposed Methodsmentioning
confidence: 99%
“…between channel estimator/equalizer and FEC decoder operation, which may not hold for some schemes. To the best of our knowledge, for schemes such as the one proposed in this work, this is currently an open research problem on its own and the interested reader can find a useful discussion in [37].…”
Section: Numerical Simulationsmentioning
confidence: 99%