channel estimation and prediction in UMTS LTE
【资料成文时间】：22nd. February - 25th. June, 2007
【语言】：英语
【页数】： 91
【何人（公司）所著】： Aalborg University
【文件格式】： PDF
【文件原名】： channel estimation and prediction in UMTS LTE.PDF
【摘要或目录】：
ABSTRACT:
The 3rd Generation Partnership Project (3GPP) currently
works on developing the third generation (3G) mobile
telecommunication system towards a future 4th generation
system. The evolution of the current 3G UMTS system was
given the name Long Term Evolution (LTE). This project focuses
on the downlink of the UMTS LTE, where orthogonal
frequency division multiplexing (OFDM) is utilized as
multiple access scheme. Based on working assumptions of
3GPP the project probes into different low-complexity methods
in order to estimate and predict a time-varying channel
for the UMTS LTE. The estimation is performed in two dimensions,
i.e. the channel frequency response (frequencydomain)
needs to be estimated at different time indices (timedomain).
Common for all methods is the utilization of discrete
prolate spheroidal (DPS) sequences for interpolation in
the time-domain. The investigated methods are evaluated by
simulations inMatlab. The channel model is chosen as a typical
urban scenario modeled by Spatial Channel Model Extended
(SCME), which is implemented with the LTE downlink
structure in this project. The performance is measured
using the mean square error (MSE) between the actual and
the estimated frequency response. The performance is compared
to the performance of a 2x1 dimensional Wiener interpolator,
which consistently yields the lowest MSE but also
the highest complexity. In general the investigated estimators
have the same performance for channel prediction and
which is close to the one of the 2x1DWiener interpolation at
a speed of 120 km/h. One of the investigated estimators, the
linear minimum mean square error channel impulse response
(LMMSE CIR) is a good compromise between complexity
and performance. It is shown that the performance of this estimator
for channel estimation purpose is close to the 2x1D
Wiener filter at 120 km/h for different signal-to-noise ratios.
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