Bidirectional decision feedback equalization for mobile MIMO-OFDM systems

Chung, Rih-Lung; Chang, Chin-Wen; Hwang, Jeng-Kuang

doi:10.1109/isita.2010.5649677

Cited by 3 publications

(4 citation statements)

References 7 publications

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“…In DFE [15] once an input symbol has been detected, the ISI that it induces on future symbols is estimated and subtracted out before detection of subsequent symbols. DFE is realized in direct transversal form which consists of feed forward filter (FFF) and a feedback filter (FBF) as shown in Fig.…”

Section: B Decision Feedback Equalizer (Dfe)mentioning

confidence: 99%

“…2. 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].…”

Section: B Decision Feedback Equalizer (Dfe)mentioning

confidence: 99%

“…r n w H n C n (12) Equation (12) describes the filtering portion of the algorithm. Transversal filter is excited to compute error estimates given by "(13)".All subscripts are omitted for simplification e n d n r n (13) Where d n is the desired response and is given by " (14)".Equation (15) describes the adaptive operation in which the tap-weight vector is updated by incrementing its old value by an amount equal to the complex conjugate of the estimation error. …”

Section: B Decision Feedback Equalizer (Dfe)mentioning

confidence: 99%

See 2 more Smart Citations

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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Section: B Decision Feedback Equalizer (Dfe)mentioning

confidence: 99%

Section: B Decision Feedback Equalizer (Dfe)mentioning

confidence: 99%

Section: B Decision Feedback Equalizer (Dfe)mentioning

confidence: 99%

See 1 more Smart Citation

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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“…DFE [10] is a nonlinear equalizer which consists of forward and feedback filters. In DFE, the values of the symbols previously detected are known, and then ISI contributed by these symbols can be canceled out at the output of forward filter.…”

Section: B Decision Feedback Equalizer (Dfe)mentioning

confidence: 99%

BER analysis of ST-Block coded MIMO-OFDM systems with frequency domain equalization in quasi-static mobile channels

Gupta

Saini

2011

2011 Annual IEEE India Conference

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Multiple-Input Multiple-Output Orthogonal Frequency Division Multiplexing (MIMO-OFDM) has become one of the key technologies for the Beyond 3G and 4G broadband wireless communications. MIMO channels increases the capacity (by a factor of the minimum number of transmit and receive antennas), data rate and immunity to Inter Symbol Interference (ISI) (due to concatenation with OFDM) particularly under frequency selective channels. To increase reliability and for robust transmission, coding can be done in space, time and frequency domains provided by MIMO-OFDM. In this Paper, a general Space-Time Block Coding (STBC) structure is presented in MIMO-OFDM systems. BER performance of STBC along with different equalizers is investigated and then optimum equalization method is suggested. Furthermore, Simulations are carried out with 2 transmit, 1 receive antenna and then with 2 transmit, 2 receive antenna MIMO-OFDM systems under both frequency flat and selective channels.

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Bidirectional Soft-Decision Feedback Equalization for OFDM Systems

Zhao

Yan

2020

IEEE Wireless Commun. Lett.

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Bidirectional decision feedback equalization for mobile MIMO-OFDM systems

Cited by 3 publications

References 7 publications

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

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

BER analysis of ST-Block coded MIMO-OFDM systems with frequency domain equalization in quasi-static mobile channels

Bidirectional Soft-Decision Feedback Equalization for OFDM Systems

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