Efficient detection scheme in MIMO-OFDM for high speed wireless home network system

Lee, Hun-Hee; Baek, Myung-Sun; Kim, Jee-Hoon; Song, Hyoung‐Kyu

doi:10.1109/tce.2009.5174414

Cited by 14 publications

(5 citation statements)

References 9 publications

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“…To estimate SM symbols, the detected symbols x 1 and x 2 are canceled from the received signal y 1 and y 2 . After that, the conventional DFE detection scheme [4], [5] is used to detect SM symbols and V-algorithm [6], [7] is applied to improve better performance.…”

Section: Conventional Detection Schemes For Stbc and Sm Symbolsmentioning

confidence: 99%

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Improved Transmit and Detection Scheme for Hybrid STBC in MIMO-OFDM Systems

Lee

Song

2013

IEICE Trans. Inf. & Syst.

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SUMMARYThe conventional hybrid STBC schemes can achieve less BER performance for STBC detection schemes than conventional STBC schemes since SM symbols interfere with STBC symbols. Therefore, this letter proposes the improved scheme for hybrid STBC systems. STBC and SM schemes are combined for the hybrid space-time block code system. Our approach effectively obtains both diversity gain and spectral efficiency gain. The proposed scheme offers improved BER performance since it uses iterative detection. Moreover, it increases the data rate effectively with a little performance loss.

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Section: Conventional Detection Schemes For Stbc and Sm Symbolsmentioning

confidence: 99%

“…After that, SM symbols are detected by the proposed scheme in [4], [5]. Third, V-algoriithm [6], [7](V = 4) is applied in order to detect SM symbols accurately when SM symbols are estimated.…”

Section: Proposed Scheme For Stbc and Sm Symbolsmentioning

confidence: 99%

Improved Transmit and Detection Scheme for Hybrid STBC in MIMO-OFDM Systems

Lee

Song

2013

IEICE Trans. Inf. & Syst.

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“…The FBF [15] is driven by decision on the output of the detector, and its coefficients are adjusted to cancel out the ISI on the current symbol from past detected symbols. RLS (recursive least squares) algorithm is used for determining the coefficient of an adaptive filter [16]. RLS algorithm uses information from all past input samples to estimate the autocorrelation matrix of the input vector.…”

Section: B Decision Feedback Equalizer (Dfe)mentioning

confidence: 99%

“…In more practical situations we choose ML [16,17] based equalizer which tests all possible data sequences and chooses the data sequence with the maximum probability as the output. It requires knowledge of channel characteristics in order to compute the metrics for making decisions.…”

Section: Maximum Likelihood (Ml) Detectionmentioning

confidence: 99%

BER Analysis of Space-Frequency Block Coded MIMO-OFDM Systems Using Different Equalizers in Quasi-Static Mobile Radio Channel

Gupta

Saini

2011

2011 International Conference on Communication Systems and Network Technologies

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Multiple transmit and receive antennas can be used to form multiple-input multiple-output (MIMO) channels to increase the capacity (by a factor of the minimum number of transmit and receive antennas) and data rate. In this paper, the combination of MIMO technology and orthogonal frequency division multiplexing (OFDM) systems is considered for wideband transmission to mitigate intersymbol interference and to enhance system capacity. It owns the advantages of both MIMO and OFDM. MIMO-OFDM system exploits the space and frequency diversity simultaneously to improve the performance of system. The coding is done across OFDM subcarriers rather than OFDM symbols. In this paper, the performance of Space-Frequency (SF) block coding for MIMO-OFDM along with different equalizers is investigated. Bit Error Rate (BER) analysis is presented using different equalizers and then optimum equalization method is suggested.

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“…Hence, the detection throughput is nonfixed, which is not desirable for real-time hardware implementation. To resolve this problem, an MLD with QR decomposition and an M-algorithm (QRM-MLD) [12,13] was proposed. At each search layer in QRM-MLD, only the best M candidates are kept for the next level search and therefore, it has a fixed complexity and throughput that is suitable for the pipeline hardware implementation.…”

Section: Introductionmentioning

confidence: 99%

Low-Complexity and Low-Power MIMO Symbol Detector for Mobile Devices with Two TX/RX Antennas

Jang¹,

Lee²,

Jung

2015

JSTS:Journal of Semiconductor Technology and Science

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Abstract-In this paper, a low-complexity and lowpower soft output multiple input multiple output (MIMO) symbol detector is proposed for mobile devices with two transmit and two receive antennas. The proposed symbol detector can support both the spatial multiplexing mode and spatial diversity mode in single hardware and shows the optimal maximum likelihood (ML) performance. By applying a multistage pipeline structure and using a complex multiplier based on the polar-coordinate, the complexity of the proposed architecture is dramatically decreased. Also, by applying a clockgating scheme to the internal modules for MIMO modes, the power consumption is also reduced. The proposed symbol detector was designed using a hardware description language (HDL) and implemented using a 65nm CMOS standard cell library. With the proposed architecture, the proposed MIMO detector takes up an area of approximately 0.31mm 2 with 183K equivalent gates and achieves a 150Mbps throughput. Also, the power estimation results show that the proposed MIMO detector can reduce the power consumption by a maximum of 85% for the various test cases.

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Efficient detection scheme in MIMO-OFDM for high speed wireless home network system

Cited by 14 publications

References 9 publications

Improved Transmit and Detection Scheme for Hybrid STBC in MIMO-OFDM Systems

Improved Transmit and Detection Scheme for Hybrid STBC in MIMO-OFDM Systems

BER Analysis of Space-Frequency Block Coded MIMO-OFDM Systems Using Different Equalizers in Quasi-Static Mobile Radio Channel

Low-Complexity and Low-Power MIMO Symbol Detector for Mobile Devices with Two TX/RX Antennas

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