Reduced-complexity detection algorithms for systems using multi-element arrays

Li, X.; Huang, Haiyang; Lozano, Angel; Foschini, G.J.

doi:10.1109/glocom.2000.891302

Cited by 70 publications

(54 citation statements)

References 5 publications

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“…Compared to the optimal solution, the GD achieves near-optimal performance at a significantly reduced complexity. The concept from [20] was extended in [21] to group antenna detection (GAD) using linear subspace processing for inter-group interference (IGI) suppression of spatially-multiplexed MIMO channels with frequency-flat fading. Also, the authors of [21] presented a channel correlation-based group selection (GS) scheme that optimizes the grouping for each individual antenna with respect to optimum system performance.…”

Section: Introductionmentioning

confidence: 99%

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Groupwise Frequency Domain Multiuser MMSE Turbo Equalization for Single Carrier Block Transmission Over Spatially Correlated Channels

Grossmann

Schneider

2011

IEEE J. Sel. Top. Signal Process.

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Abstract-This paper proposes a novel turbo equalization scheme based on groupwise soft interference cancelling minimum mean-squared error filtering (SC-MMSE) combined with maximum a posteriori signal detection for multiple access singlecarrier block transmission. For an efficient implementation of the equalizer, the linear groupwise SC-MMSE filter is directly derived in the frequency domain by introducing an additional design criterion in the optimization. Special focus is given on different heuristic methods for group selection based on meansquared error (MSE) and spatial channel correlation criteria. The first method dynamically forms groups incorporating a priori information at each turbo iteration, while the second and third methods provide a static grouping that is valid for all turbo iterations. Results of correlation chart analysis and bit error rate simulations demonstrate that the groupwise turbo frequency domain equalizer (FDE) achieves a large performance gain over the conventional SC-MMSE FDE in intersymbol interference multiple access channels with high spatial correlation among the multiple users' transmitted signals. Moreover, it is shown that the simple static correlation-based grouping scheme when applied to the proposed receiver achieves similar performance than the dynamic MSE-based scheme at a significantly reduced complexity. In addition, to assess the practicality of the novel algorithm in real scenarios, we show numerical results obtained by a series of simulations using channel-sounding field measurement data.

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Section: Introductionmentioning

confidence: 99%

“…al. [22] has recently shown that the GAD scheme [21] can be further improved when taking into account the noise statistics at the receiver. Particularly, they proposed a group separation strategy based on groupwise linear filtering maximizing the signal-to-interference-plus-noise ratio (SINR) in each subgroup.…”

Section: Introductionmentioning

confidence: 99%

Groupwise Frequency Domain Multiuser MMSE Turbo Equalization for Single Carrier Block Transmission Over Spatially Correlated Channels

Grossmann

Schneider

2011

IEEE J. Sel. Top. Signal Process.

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“…이러한 요구사항을 만족시키기 위해 한정된 주파수 대역을 사용해서 고용량의 데이 터를 전송하는 MIMO 시스템의 개발이 지속적으로 이루어지고 있다 [1] . MIMO 시스템은 송신기와 수신기에 다중의 안테 나를 이용하여 서로 다른 데이터 스트림을 동시에 전송함으로써 시스템의 주파수 대역폭을 증가시키 지 않고 고속의 데이터를 전송할 수 있는 공간 다중 화 기법과 다중의 송신 안테나에서 같거나 변형된 데이터를 전송하여 성능을 향상시키는 공간 다이버 시티 기술로 나눌 수 있다 [2] . 이러한 MIMO [7] .…”

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Sampling Time Offset and Compensation in TDM-Based Single RF Chain MIMO Receiver

Ryu²

2013

The Journal of Korean Institute of Electromagnetic Engineering

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Conventional MIMO system is required to a number of RF chains as much as a number of antennas. If the number of antennas increased then the number of RF chains increased. Therefore, it is difficult to apply conventional MIMO system to mobile terminals with limited power. In this paper, we propose a TDM(time division multiplexing)-based single RF chain MIMO system. The outcome shows that performance of the proposed system is similar to conventional MIMO system using multiple RF chains when STO is corrected by phase angle estimation and the synchronizing signal of received signal. Therefore, it is possible to implement the MIMO-OFDM system of low power and complexity through a single RF chain.

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“…Although linear detectors, such as the linear minimum-mean-squared-error (MMSE) detector, typically exhibit a low complexity, their performance is significantly worse than that of the ML detector. The non-linear successive interference cancellation (SIC) algorithm detects each symbol sequentially with the aid of classic remodulation and subtraction based cancelling operations, and exhibits an attractive performance versus complexity trade-off [2]- [4]. However, its performance is nonetheless inferior with respect to ML detection [4].…”

Section: Introductionmentioning

confidence: 99%

Optimal Lattice-Reduction Aided Successive Interference Cancellation for MIMO Systems

Lee

Chun

Hanzo

2007

IEEE Trans. Wireless Commun.

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Abstract-In this letter, we investigated the optimal minimummean-squared-error (MMSE) based successive interference cancellation (SIC) strategy designed for lattice-reduction aided multiple-input multiple-output (MIMO) detectors. For the sake of generating the MMSE-based MIMO symbol estimate at each SIC detection stage, we model the so-called effective symbols generated with the aid of lattice-reduction as joint Gaussian distributed random variables. However, after lattice-reduction, the effective symbols become correlated and exhibit a non-zero mean. Hence, we derive the optimal MMSE SIC detector, which updates the mean and variance of the effective symbols at each SIC detection stage. As a result, the proposed detector achieves a better performance compared to its counterpart dispensing with updating the mean and variance, and performs close to the maximum likelihood detector.

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Reduced-complexity detection algorithms for systems using multi-element arrays

Cited by 70 publications

References 5 publications

Groupwise Frequency Domain Multiuser MMSE Turbo Equalization for Single Carrier Block Transmission Over Spatially Correlated Channels

Groupwise Frequency Domain Multiuser MMSE Turbo Equalization for Single Carrier Block Transmission Over Spatially Correlated Channels

Sampling Time Offset and Compensation in TDM-Based Single RF Chain MIMO Receiver

Optimal Lattice-Reduction Aided Successive Interference Cancellation for MIMO Systems

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