Description: Phase noise resulting in Common Phase Error
(CPE) and Inter-Carrier Interference (ICI) is a critical challenge
to the implementation of OFDM systems. Modeling phase noise
as a stationary Gaussian random process with the specified
power spectrum density, different from conventional approaches
which mostly relay on pilots to provide CPE estimation, we
explore the statistical characteristics of the sufficient statistics
then propose a pilot-aided decision-directed approach according
to maximum-likelihood criterion. Numerical results demonstrate
that the proposed algorithm enjoys 2dB gain at moderate SNR
and is quite robust against possible model mismatch Platform: |
Size: 148480 |
Author:xiaobo |
Hits:
Description: Phase noise resulting in Common Phase Error
(CPE) and Inter-Carrier Interference (ICI) is a critical challenge
to the implementation of OFDM systems. Modeling phase noise
as a stationary Gaussian random process with the specified
power spectrum density, different from conventional approaches
which mostly relay on pilots to provide CPE estimation, we
explore the statistical characteristics of the sufficient statistics
then propose a pilot-aided decision-directed approach according
to maximum-likelihood criterion. Numerical results demonstrate
that the proposed algorithm enjoys 2dB gain at Platform: |
Size: 84992 |
Author:xiaobo |
Hits:
Description: Phase noise resulting in Common Phase Error
(CPE) and Inter-Carrier Interference (ICI) is a critical challenge
to the implementation of OFDM systems. Modeling phase noise
as a stationary Gaussian random process with the specified
power spectrum density, different from conventional approaches
which mostly relay on pilots to provide CPE estimation, we
explore the statistical characteristics of the sufficient statistics
then propose a pilot-aided decision-directed approach according
to maximum-likelihood criterion. Numerical results demonstrate
that the proposed algorithm enjoys 2dB gain at moderate SNR
and is quite robust against possible model mismatch Platform: |
Size: 6144 |
Author:xiaobo |
Hits:
Description: Abstract—Diagonal Bell Laboratories Layered Space-Time (DBLAST)
structure offers a low complexity solution to realize the
attractive capacity of Multiple-input and multiple-output (MIMO)
systems. In this paper, we apply D-BLAST in orthogonal frequency
division multiplexing (OFDM) systems and address the issue of
channel estimation. Different other MIMO-OFDM, where
symbols at all tones are always available for decision-directed
channel estimation, in D-BLAST OFDM, we update estimated
channel parameters each time a layer is detected with a least
square (LS) approach, using a pieced combination of received signals
at previous and current OFDM blocks. The initial estimate is
further refined by a robust estimator to exploit the time correlation
of channel parameters among OFDM blocks. Computer simulation
results show the performance improvement over block-wise
channel estimation. It is also shown that D-BLAST with proposed
channel estimation is robust to fast fading of channel parameters.-Abstract—Diagonal Bell Laboratories Layered Space-Time (DBLAST)
structure offers a low complexity solution to realize the
attractive capacity of Multiple-input and multiple-output (MIMO)
systems. In this paper, we apply D-BLAST in orthogonal frequency
division multiplexing (OFDM) systems and address the issue of
channel estimation. Different other MIMO-OFDM, where
symbols at all tones are always available for decision-directed
channel estimation, in D-BLAST OFDM, we update estimated
channel parameters each time a layer is detected with a least
square (LS) approach, using a pieced combination of received signals
at previous and current OFDM blocks. The initial estimate is
further refined by a robust estimator to exploit the time correlation
of channel parameters among OFDM blocks. Computer simulation
results show the performance improvement over block-wise
channel estimation. It is also shown that D-BLAST with proposed
channel estimation is robust to fast fading of channel parameters. Platform: |
Size: 80896 |
Author:werad |
Hits:
Search - decision directed estimation in ofdm