Comparison of channel estimation algorithms for MIMO downlink LTE systems

Morosi, Simone; Argenti, Fabrizio; Biagini, Massimiliano; Re, E. Del

doi:10.1109/iwcmc.2013.6583685

Cited by 4 publications

(2 citation statements)

References 15 publications

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“…In training phase, pilot symbol subchannels are estimated first in frequency and time directions according to LS criterion [15, 16] in order to minimise

(][, false(Y_{f}^{normalP} - {bold-italicX}_{f}^{normalP} F h false) false(Y_{f}^{normalP} - {bold-italicX}_{f}^{normalP} F h false)^{†})

in the frequency domain and

(][, false(Y_{t}^{normalP} - {bold-italicX}_{t}^{normalP} F h false) false(Y_{t}^{normalP} - {bold-italicX}_{t}^{normalP} F h false)^{†})

in the time domain, as follows

{\hat{H}}_{f}^{normalP} = false({bold-italicX}_{f}^{normalP} false)^{- 1} Y_{f}^{normalP}

{\hat{H}}_{t}^{normalP} = false({bold-italicX}_{t}^{normalP} false)^{- 1} Y_{t}^{normalP}

where

Y_{f}^{normalP} = Y false(i, m normalΔ P_{f} false)

and

{\hat{H}}_{f}^{normalP} = \hat{H} false(i, m normalΔ P_{f} false)

are the received pilot symbols and the estimated frequency responses for the i th OFDM symbol at pilot positions m Δ P f , respectively, and

Y_{t}^{normalP} = Y false(n normalΔ P_{t}, k false)

and

{\hat{H}}_{t}^{normalP} = \hat{H} <...>

…”

Section: Svr Interpolation and Channel Estimationmentioning

confidence: 99%

Joint interpolation for LTE downlink channel estimation in very high‐mobility environments with support vector machine regression

Charrada

Samet²

2016

IET Communications

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“…In training phase, pilot symbol subchannels are estimated first in frequency and time directions according to LS criterion [15, 16] in order to minimise

(][, false(Y_{f}^{normalP} - {bold-italicX}_{f}^{normalP} F h false) false(Y_{f}^{normalP} - {bold-italicX}_{f}^{normalP} F h false)^{†})

in the frequency domain and

(][, false(Y_{t}^{normalP} - {bold-italicX}_{t}^{normalP} F h false) false(Y_{t}^{normalP} - {bold-italicX}_{t}^{normalP} F h false)^{†})

in the time domain, as follows

{\hat{H}}_{f}^{normalP} = false({bold-italicX}_{f}^{normalP} false)^{- 1} Y_{f}^{normalP}

{\hat{H}}_{t}^{normalP} = false({bold-italicX}_{t}^{normalP} false)^{- 1} Y_{t}^{normalP}

where

Y_{f}^{normalP} = Y false(i, m normalΔ P_{f} false)

and

{\hat{H}}_{f}^{normalP} = \hat{H} false(i, m normalΔ P_{f} false)

are the received pilot symbols and the estimated frequency responses for the i th OFDM symbol at pilot positions m Δ P f , respectively, and

Y_{t}^{normalP} = Y false(n normalΔ P_{t}, k false)

and

{\hat{H}}_{t}^{normalP} = \hat{H} <...>

…”

Section: Svr Interpolation and Channel Estimationmentioning

confidence: 99%

Joint interpolation for LTE downlink channel estimation in very high‐mobility environments with support vector machine regression

Charrada

Samet²

2016

IET Communications

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“…As for the estimation techniques, pilot based approaches can be adopted for their reduced computational burden and remarkable performance: overviews of some of the pilot aided channel estimation techniques can be found in [14] and [15].…”

Section: Introductionmentioning

confidence: 99%

Frame design for 5G multicarrier modulations

Morosi

Biagini

Argenti

et al. 2015

2015 International Wireless Communications and Mobile Computing Conference (IWCMC)

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Abstract-Orthogonal Frequency Division Multiplexing (OFDM) transmission technique has been considered for the 4G LTE-Advanced system because of its high performance and low complexity. In the new 5G scenario this type of modulation is not properly suited because of the additional requirements for very high spectral efficiency, low latency and low out-of-band (OOB) emissions. Thus, new waveforms have been chosen to replace it and effectively deal with these problems. Particularly, recently proposed multicarrier techniques as the Generalized Frequency Division Multiplexing (GFDM) and the Filter Bank Multicarrier (FBMC) modulations are two of the main candidates techniques for the new 5G standard. As for classical OFDM technique, the channel estimation is a crucial functionality for the all multicarrier approaches. In this paper we generalize a recently proposed method for the computation of the MSE on the time-frequency domain for pilot based channel estimation techniques in multicarrier system. This method permits to determine the most suitable channel estimation algorithm for a given wireless channel as well as to define the suitable pilot density in order to afford a target MSE value for a given SNR level. Hence, in this paper a general design tool for multicarrier systems is proposed.

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