Low Complexity Adaptive Channel Estimation and QR Decomposition for an LTE-A Downlink
Författare
Summary, in English
This paper presents a link adaptive processor to
perform low-complexity channel estimation and QR decomposition
(QRD) in Long Term Evolution-Advanced (LTE-A) receivers.
The processor utilizes frequency domain correlation of the propagation
channel to adaptively avoid unnecessary computations in
the received signal processing, achieving significant complexity
reduction with negligible performance loss. More specifically, a
windowed Discrete Fourier transform (DFT) algorithm is used to
detect channel conditions and to compute a minimum number of
sparse subcarrier channel estimates required for low complexity
linear QRD interpolation. Furthermore, the sparsity of subcarrier
channel estimates can be adaptively changed to handle different
channel conditions. Simulation results demonstrate a reduction
of 40%-80% in computational complexity for different channel
models specified in the LTE-A standard.
perform low-complexity channel estimation and QR decomposition
(QRD) in Long Term Evolution-Advanced (LTE-A) receivers.
The processor utilizes frequency domain correlation of the propagation
channel to adaptively avoid unnecessary computations in
the received signal processing, achieving significant complexity
reduction with negligible performance loss. More specifically, a
windowed Discrete Fourier transform (DFT) algorithm is used to
detect channel conditions and to compute a minimum number of
sparse subcarrier channel estimates required for low complexity
linear QRD interpolation. Furthermore, the sparsity of subcarrier
channel estimates can be adaptively changed to handle different
channel conditions. Simulation results demonstrate a reduction
of 40%-80% in computational complexity for different channel
models specified in the LTE-A standard.
Avdelning/ar
Publiceringsår
2015-06-29
Språk
Engelska
Publikation/Tidskrift/Serie
2014 IEEE 25th Annual International Symposium on Personal, Indoor, and Mobile Radio Communication (PIMRC)
Fulltext
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Dokumenttyp
Konferensbidrag
Förlag
IEEE - Institute of Electrical and Electronics Engineers Inc.
Ämne
- Electrical Engineering, Electronic Engineering, Information Engineering
Conference name
IEEE 25th International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), 2014
Conference date
2014-09-02 - 2014-09-05
Conference place
Washington DC, United States
Status
Published
Projekt
- EIT_DARE Digitally-Assisted Radio Evolution
Forskningsgrupp
- Digital ASIC
ISBN/ISSN/Övrigt
- ISBN: 978-1-4799-4912-0