Parameter Estimation for Correlated MIMO Channels with Frequency-Selective Fading

Dong, Wei; Li, Jiandong; Zhuo, Lu

doi:10.1007/s11277-009-9664-9

Cited by 5 publications

(5 citation statements)

References 25 publications

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“…The exact capacity expression of the MIMO Assume that, and = , then it can be shown [9,10] that for large N and large value of SNR, , a capacity lower bound is given by…”

Section: Bounds On Capacity Of Mimo System In Twdp Fadingmentioning

confidence: 99%

Capacity Bounds for MIMO System in TWDP Fading Channel

Singh¹

2017

IJPE

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Many statistical distributions including Rayleigh, Rician, Nakagami-m, Hoyt, η-μ and κ-μ are proposed in literature to model fading in wireless Communication systems. This paper presents the study of MIMO system in a recently proposed Two Wave with Diffuse Power (TWDP) fading model, having two specular multipath components in the presence of diffusely propagating waves. It has been verified that the TWDP fading model is better suited to represent real world frequency selective fading on the basis of data collected from wireless sensor networks. This paper studies the performance of MIMO system in TWDP fading scenario. Upper and lower bounds of the capacity for MIMO system have been derived in TWDP fading scenario.

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“…The exact capacity expression of the MIMO Assume that, and = , then it can be shown [9,10] that for large N and large value of SNR, , a capacity lower bound is given by…”

Section: Bounds On Capacity Of Mimo System In Twdp Fadingmentioning

confidence: 99%

Capacity Bounds for MIMO System in TWDP Fading Channel

Singh¹

2017

IJPE

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“…Let us find X which minimizes (14) subject to a transmitted power constraint. This is equivalent to the following optimization problem:…”

Section: Ls Channel Estimatormentioning

confidence: 99%

“…k . Substituting (18) back into (14), the channel estimation error under optimal training is given by…”

Section: Ls Channel Estimatormentioning

confidence: 99%

“…In [4,[14][15][16][17][18][19] the spatially correlated fading MIMO channel is considered. In [14], the frequency offset and channel gain estimation is considered for MIMO ISI correlated fading channels. In [15,16], it is investigated that the impacts of spatial correlation are helpful not only to improve channel estimation but also to decrease the training length.…”

Section: Introductionmentioning

confidence: 99%

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Performance Improvement in Estimation of Spatially Correlated Rician Fading MIMO Channels Using a New LMMSE Estimator

Nooralizadeh¹,

Moghaddam

2010

IJCNS

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In most of the previous researches on the multiple-input multiple-output (MIMO) channel estimation, the fading model has been assumed to be Rayleigh distributed. However, the Rician fading model is suitable for microcellular mobile systems or line of sight mode of WiMAX. In this paper, the training based channel es-timation (TBCE) scheme in the spatially correlated Rician flat fading MIMO channels is investigated. First, the least squares (LS) channel estimator is probed. Simulation results show that the Rice factor has no effect on the performance of this estimator. Then, a new linear minimum mean square error (LMMSE) technique, appropriate for Rician fading channels, is proposed. The optimal choice of training sequences with mean square error (MSE) criteria is investigated for these estimators. Analytical and numerical results show that the performance of proposed estimator in the Rician channel model compared with Rayleigh one is much better. It is illustrated that when the channel Rice factor and/or the correlation coefficient increase, the per-formance of the proposed estimator significantly improves

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“…Practically, the high capacity of Multiple input multiple output systems is achieved by implementing parallel channel transmission. The capacity of MIMO system is a major advantage and it is given by [1][2][3][4][5][6][7]:…”

Section: Introductionmentioning

confidence: 99%

Pre-Coding for MIMO Systems in Frequency-Selective Fading Channels

Rahhal

Abu-Al-Nadi

2009

Wireless Pers Commun

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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.

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Parameter Estimation for Correlated MIMO Channels with Frequency-Selective Fading

Cited by 5 publications

References 25 publications

Capacity Bounds for MIMO System in TWDP Fading Channel

Capacity Bounds for MIMO System in TWDP Fading Channel

Performance Improvement in Estimation of Spatially Correlated Rician Fading MIMO Channels Using a New LMMSE Estimator

Pre-Coding for MIMO Systems in Frequency-Selective Fading Channels

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