Parameter Estimation for Correlated MIMO Channels with Frequency-Selective Fading
In this paper, we address the problem of frequency offset and channel gain estimation for frequency-selective multi-input
multi-output (MIMO) correlated fading channels. A maximum-likelihood (ML) frequency offset (FO) estimator is proposed by using
the Bayesian approach. We show that the proposed FO estimator is efficient and asymptotically optimal. Based on the FO estimate,
we derive the linear minimum mean square error (LMMSE) channel estimator and analytically investigate the effect of frequency
offset estimation error on the mean square error (MSE) performance of the channel estimator. Finally, the performances of
the FO and channel estimation are evaluated by simulation results.
Available from: Shahriar Shirvani moghaddam
- "In        the spatially correlated fading MIMO channel is considered. In , the frequency offset and channel gain estimation is considered for MIMO ISI correlated fading channels. In  , it is investigated that the impacts of spatial correlation are helpful not only to improve channel estimation but also to decrease the training length. "
International Journal of Communications, Network and System Sciences 01/2010; 3(12):962-971. DOI:10.4236/ijcns.2010.312131 · 0.90 Impact Factor
Available from: Feng Ding
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ABSTRACT: In this paper, we focus on the recursive computation of the cost functions for the least-squares-type algorithms for multivariable linear regressive models. It is shown that the proposed recursive computation formulas for the cost functions can also be extended to the estimation algorithm of the multivariable equation error models, e.g., the controlled autoregressive models. The simulation results indicate that the proposed algorithm is effective.
Circuits Systems and Signal Processing 02/2012; 32(1). DOI:10.1007/s00034-012-9448-4 · 1.12 Impact Factor
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ABSTRACT: Multiple input multiple output (MIMO) systems showed good utilization of channel characteristics. In MIMO systems multiple
signals are transmitted using multiple antenna system. This provides each receiver the combined signals and hence, array processing
techniques helps in reducing the effects of interference among them. In this paper we devise the use of pre-coded MIMO system
to reduce the effects of frequency selectivity and hence, enhance the systems capacity and/or reduce the bit error rate. In
this technique we introduce a temporal pre-coder on each antenna signal; this creates a deterministic multi-path signals similar
to signals received when the channel is multi-path fading channel. The same antenna signal will arrive at each receiver forming
orthogonal sub-space and the receiver will be simple add and delay of the received signals. Ant colony optimization is used
in this paper to select the best pre-code. Results showed that we can diagonalize the channel matrix and practically eliminate
the interference for frequency selective fading channel. Simulation of two transmitting two receiving antennas pre-coded MIMO
system showed that the capacity can be doubled.
Wireless Personal Communications 12/2010; 55(4):591-605. DOI:10.1007/s11277-009-9821-1 · 0.65 Impact Factor
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