Iterative channel estimation and data detection in frequency‐selective fading MIMO channels

Loncar, M.; Müller, Ralf R.; Wehinger, J.; Mecklenbräuker, Christoph F.; Abe, Toshinori

doi:10.1002/ett.958

Cited by 40 publications

(26 citation statements)

References 28 publications

(40 reference statements)

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“…The challenge of approaching the optimal near-capacity MIMO performance again is the acquisition of accurate MIMO CSI without imposing an excessive pilot-overhead and an excessive channel estimation complexity [21]. The existing stateof-the-art solutions [22]- [31] combine the decision-directed (DD) CE (DDCE) solutions with powerful iterative detection and decoding schemes in order to form semi-blind joint CE and turbo detection-decoding, where only a modest training overhead is required for generating an initial MMSE CE or least squares CE. The most effective schemes [26]- [31] employ soft-decision aided CEs in the semi-blind joint CE and turbo detection-decoding process, which are more robust against error propagation than the hard-decision aided CE schemes.…”

Section: B Review Of Near-capacity Mimo Systemsmentioning

confidence: 99%

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Two-Tier Channel Estimation Aided Near-Capacity MIMO Transceivers Relying on Norm-Based Joint Transmit and Receive Antenna Selection

Zhang

Chen

Hanzo

2015

IEEE Trans. Wireless Commun.

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Abstract-We propose a norm-based joint transmit and receive antenna selection (NBJTRAS) aided near-capacity multipleinput-multiple-output (MIMO) system relying on the assistance of a novel two-tier channel estimation scheme. Specifically, a rough estimate of the full MIMO channel is first generated using a lowcomplexity, low-training-overhead minimum mean square error based channel estimator, which relies on reusing a modest number of radio frequency (RF) chains. NBJTRAS is then carried out based on this initial full MIMO channel estimate. The NBJTRAS aided MIMO system is capable of significantly outperforming conventional MIMO systems equipped with the same modest number of RF chains while dispensing with the idealized simplifying assumption of having perfectly known channel state information (CSI). Moreover, the initial subset channel estimate associated with the selected subset MIMO channel matrix is then used for activating a powerful semi-blind joint channel estimation and turbo detector-decoder, in which the channel estimate is refined by a novel block-of-bits selection based soft-decision aided channel estimator (BBSB-SDACE) embedded in the iterative detection and decoding process. The joint channel estimation and turbo detection-decoding scheme operating with the aid of the proposed BBSB-SDACE channel estimator is capable of approaching the performance of the near-capacity maximum-likelihood (ML) turbo transceiver associated with perfect CSI. This is achieved without increasing the complexity of the ML turbo detection and decoding process.Index Terms-Multiple-input-multiple-output (MIMO), nearcapacity system, joint transmit and receive antenna selection, joint channel estimation and three-stage turbo detection-decoding.

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Section: B Review Of Near-capacity Mimo Systemsmentioning

confidence: 99%

“…On the other hand, in the tier-two stage, the soft decisiondirected MMSE estimate (22), which has a complexity lower…”

Section: Complexity Of Proposed Ttce Assisted and Nbjtras Aided Mimomentioning

confidence: 99%

Two-Tier Channel Estimation Aided Near-Capacity MIMO Transceivers Relying on Norm-Based Joint Transmit and Receive Antenna Selection

Zhang

Chen

Hanzo

2015

IEEE Trans. Wireless Commun.

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“…The second part shows that a moderate D 1 may cause multiple fixed points. A useful conclusion drawn from (20) is that this iterative procedure does not work well for those channel codes, such as powerful turbo codes or LDPC codes, that have a steep performance curve (bit error rate versus SINR) which implies a large value of max x∈Ω (g ′ (x)). This will be demonstrated in numerical simulations in Section VI.…”

Section: Condition Assuring the Uniqueness Of The Fixed Pointmentioning

confidence: 99%

Performance Analysis of Iterative Channel Estimation and Multiuser Detection in Multipath DS-CDMA Channels

Betz

Poor

2007

IEEE Trans. Signal Process.

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This paper examines the performance of decision feedback based iterative channel estimation and multiuser detection in channel coded aperiodic DS-CDMA systems operating over multipath fading channels. First, explicit expressions describing the performance of channel estimation and parallel interference cancellation based multiuser detection are developed. These results are then combined to characterize the evolution of the performance of a system that iterates among channel estimation, multiuser detection and channel decoding. Sufficient conditions for convergence of this system to a unique fixed point are developed.

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“…If the statistics of the channel are known, then the true Maximum-Likelihood (ML) detector operates on the basis of the conditional probability but has exponential complexity in T + 1 [4]. Another method is iterative joint channel estimation and data detection [5] which can approach the performance of the ML detector but with much less computational complexity.…”

Section: Introductionmentioning

confidence: 99%

A Generalized Method of Moments Detector for Block Fading SIMO Channels

2016

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Abstract-In this letter we apply the Generalized Method of Moments (GMM), widely used in econometrics, to receivers operating with imperfect channel state information (CSI) of singleinput-multiple-output (SIMO) block-fading channels where a single pilot symbol is used. The GMM results in the standard maximum ratio combining (MRC) receiver, but with an improved channel estimate. Although not our goal at the outset, this result reveals an inherent capability of the GMM to improve any channel estimate through filtering of the initial channel estimate with a matrix that is constructed from the received signals. The filtering involves a matrix inverse of size min {T, M }, where M is the number of receive antennas, and T + 1 is the coherence interval of the channel. The gain over an MRC receiver, using a scaled version of the pilot observation as channel estimate, lies in the range 0.1-3 dB depending on the system configuration. A coherence interval of about 5 symbol intervals is sufficient to reach these gains.

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Iterative channel estimation and data detection in frequency‐selective fading MIMO channels

Cited by 40 publications

References 28 publications

Two-Tier Channel Estimation Aided Near-Capacity MIMO Transceivers Relying on Norm-Based Joint Transmit and Receive Antenna Selection

Two-Tier Channel Estimation Aided Near-Capacity MIMO Transceivers Relying on Norm-Based Joint Transmit and Receive Antenna Selection

Performance Analysis of Iterative Channel Estimation and Multiuser Detection in Multipath DS-CDMA Channels

A Generalized Method of Moments Detector for Block Fading SIMO Channels

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