MIMO channel estimation with dimension reduction

Stege, M.; Zillmann, Peter; Fettweis, Gerhard

doi:10.1109/wpmc.2002.1088205

Cited by 17 publications

(6 citation statements)

References 5 publications

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“…One such grid is given by (8) with D s =2, where adjacent pilots alternate between odd and even transmit antennas, creating a diamond shaped grid, as depicted in Fig. 1.…”

Section: B Pilot Design For Diverse Deployment Scenariosmentioning

confidence: 99%

“…The system parameters are listed in Table I. The pilot grid is constructed based on the sampling matrix D in (8). The channel estimation unit is implemented by a mismatched WIF as decribed in Section V-A.…”

Section: A Wiener Interpolation Filter With Model Mismatchmentioning

confidence: 99%

“…Due to its favorable trade-off between achieved channel estimation accuracy and required pilot overhead, 2D-PACE has been selected for a wide range of wireless communication standards, such as terrestrial digital video broadcasting (DVB-T) [6], and for B3G mobile communication systems [7]. Considering MIMO-OFDM, the principle of channel estimation by interpolation can be extended to the spatial domain, in case transmit antenna elements are spatially correlated, giving rise to three dimensional (3D) PACE [8][9][10].…”

Section: Introductionmentioning

confidence: 99%

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Bandwidth efficient 3D pilot design for MIMO-OFDM

Auer¹

2010

2010 European Wireless Conference (EW)

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We address pilot aided channel estimation (PACE) for MIMO-OFDM operating in diverse deployment scenarios, ranging from outdoor macro-cells to indoor office environments. In macro-cells high mobile velocities and large cell sizes result in high Doppler and channel delay spreads, while transmit antenna elements are typically spatially correlated. On the other hand, in indoor environments spatial correlation tends to be low, while cell sizes together with mobile velocities are substantially smaller. In this work the deployment specific correlations in time, frequency and space are exploited for the design of a bandwidth efficient three dimensional (3D) pilot grid. The associated channel estimation procedure is based on the principle of channel estimation by interpolation in three dimensions time, frequency and space. Index Terms-OFDM, MIMO, pilot aided channel estimation (PACE), 3D Wiener interpolation filter, spatial interpolation, multi-dimensional sampling.

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“…One such grid is given by (8) with D s =2, where adjacent pilots alternate between odd and even transmit antennas, creating a diamond shaped grid, as depicted in Fig. 1.…”

Section: B Pilot Design For Diverse Deployment Scenariosmentioning

confidence: 99%

Section: A Wiener Interpolation Filter With Model Mismatchmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Bandwidth efficient 3D pilot design for MIMO-OFDM

Auer¹

2010

2010 European Wireless Conference (EW)

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“…In [22], it is proved that this estimator is the maximum-likelihood solution for the case where the amplitudes are modeled as deterministic variables. Moreover, in [21], a similar estimator that only performs spatial MA for a MIMO (not OFDM) system is proposed, whereas [20] presents an analogous technique based on temporal MA. The S/T MA-MF estimator is expected to perform (asymptotically) according to the bound derived in Section III, in case the fading amplitudes are uncorrelated across different OFDM symbols (so that tracking of the fading variations would be ineffective).…”

Section: ) No Tracking [Modal Filtering (Mf)]mentioning

confidence: 99%

Channel Estimation for MIMO-OFDM Systems by Modal Analysis/Filtering

Cicerone¹,

Simeone²,

Spagnolini³

2006

IEEE Trans. Commun.

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Abstract-In this paper, we investigate the benefits of exploiting the a priori information about the structure of the multipath channel on the performance of channel estimation for multiple-input multiple-output-orthogonal frequency-division multiplexing (MIMO-OFDM) systems. We first approach this problem from the point of view of estimation theory by computing a lower bound on the estimation error and studying its properties. Then, based on the insight obtained from the analysis, efficient channel estimators are designed that perform close to the derived limit. The proposed channel estimators compute the long-term features of the multipath channel model through a subspace tracking algorithm by identifying the invariant (over multiple OFDM symbols) space/time modes of the channel (modal analysis). On the other hand, the fast-varying fading amplitudes are tracked by using least-squares techniques that exploit temporal correlation of the fading process (modal filtering). The analytic treatment is complemented by thorough numerical investigation in order to validate the performance of the proposed techniques. MIMO-OFDM with bit-interleaved coded modulation and MIMO-turbo equalization is selected as a benchmark for performance evaluation in terms of bit-error rate.

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“…Spatial correlation between antennas is exploited in [10,11] to improve the channel estimation accuracy. An alternative approach is pursued in this paper: spatial correlation is exploited to reduce the Three dimensional (3D) pilot grid applicable to MIMO-OFDM systems where transmit antennas are spatially correlated.…”

Section: Introductionmentioning

confidence: 99%

3D Pilot Aided Channel Estimation

Auer

2009

2009 IEEE Wireless Communications and Networking Conference

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We address pilot aided channel estimation (PACE) for MIMO-OFDM operating in spatially correlated channels. Pilot symbols are only inserted on selected transmit antennas, and the channel response on the remaining transmit antennas is obtained by means of interpolation. By extending the principle of channel estimation by interpolation to the spatial domain, three dimensional (3D) PACE operates in time, frequency and space. Provided an appropriately dimensioned pilot grid, 3D-PACE is shown to substantially reduce the required pilot overhead without sacrificing channel estimation accuracy.

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MIMO channel estimation with dimension reduction

Cited by 17 publications

References 5 publications

Bandwidth efficient 3D pilot design for MIMO-OFDM

Bandwidth efficient 3D pilot design for MIMO-OFDM

Channel Estimation for MIMO-OFDM Systems by Modal Analysis/Filtering

3D Pilot Aided Channel Estimation

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