Decorrelating bootstrap equalizer for time-variation suppression of MIMO channel

Liu, Qianlei; Yang, Liu; Li, Ké

doi:10.1016/j.sigpro.2005.08.007

Cited by 4 publications

(3 citation statements)

References 12 publications

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“…The G band (graphitic band) is found centered at ∼1590 cm −1 . It mainly represents the aromatic ring quadrant breathing (52,53). The D band (disordered band) which is observed at ∼1310 cm −1 arises due to aromatic structures with more than six rings.…”

Section: Raman Spectra Analysismentioning

confidence: 99%

Effects of swift heavy ion-irradiation on mica- and coal-based rocks of Lower Himalayas in Sikkim, India

Tiwari

Saikiran

Tripathi

et al. 2013

Radiation Effects and Defects in Solids

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Naturally occurring mica schist and coal sedimentary sequence in Sikkimese Himalaya were collected and investigated by two micro-techniques: scanning electron microscopy/energy dispersive spectrometry and Raman spectroscopy. They were applied to identify the constituents and the structure of the minerals before and after swift heavy ion irradiation. Vibrational data and the constituents of abundantly found mica schist and coal-based rock were acquired at room temperature and were compared with those reported for their analogues in the previous reports.

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Section: Raman Spectra Analysismentioning

confidence: 99%

Effects of swift heavy ion-irradiation on mica- and coal-based rocks of Lower Himalayas in Sikkim, India

Tiwari

Saikiran

Tripathi

et al. 2013

Radiation Effects and Defects in Solids

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show abstract

“…The potential of the system in enhancing the spectrum efficiency during communication is handled effectively using multiple array of antennas both at the transmitting and receiving terminals that assures the tendency to meet the higher data rates in the wireless communications. More particularly, MIMO systems attain greater interest in the current few years [3]. OFDM is a peculiar technique employed in the wideband wireless communication as a result of their higher data rates, spectral efficiency, and good quality of data transmission and the approach finds valuable application in numerous communication standards, like digital audio broadcasting (DAB), broadband wireless access standard, broadband wireless local area networks (WLANs) in addition to digital video broadcasting (DVB) [4].…”

Section: Introductionmentioning

confidence: 99%

“…Most of the assumptions concern the quasi static nature of the channel, which is invariant over time in a data frame. On the other hand, the practical wireless channels are essentially variable over time, which varies within a data frame generating CCI on the received signals and produces a low bit error rate (BER), which degrades performance at receiving terminal [3]. For establishing channel equalization in the system, Massive MIMO was used in [19].…”

Section: Introductionmentioning

confidence: 99%

Fractional weighted ZF equalizer: A novel approach for channel equalization in MIMO-OFDM system under impulse noise environment

Girija

Rao

2021

CST

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Impulse noise is the major factor degrading the performance of the wireless system, imposing the need for the impulse noise mitigation strategy. Mainly, in the multiple-input multiple-output (MIMO) and orthogonal frequency-division multiplexing (OFDM) system contaminated with the impulse noise creates a major impact in the performance as the conventional zero-forcing (ZF) equalizer as there is no satisfactory results. Thus, the paper concentrates on the impulse noise mitigation strategy based on the fractional weighed zero-forcing (FWZF) equalizer, which is the integration of the fractional concept in the Zero-Forcing equalizer. The noise impacts in the MIMO-OFDM system are minimized and the performance is enhanced due to the usage of the fractional theory in the ZF equalizer as the equalization values of the previous instances are interpreted for the formulation of the effective equalization value in the current instance of the ZF equalizer. The performance of the methods is done based on the valuation metrics, Bit Error Rate (BER), Mean Square Error (MSE), and Symbol Error Rate (SER) with respect to the Signal-to-Noise Ratio (SNR) and dissimilar antenna array size. It is found that the proposed Fractional Weighed Zero-Forcing equalizer outperformed the existing methods with a minimal BER and SER of 0.063, and 0.1038 while analyzing the methods in the Rayleigh environment.

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Robust Adaptive AutoRegressive Weighted Constant Modulus Algorithm for Blind Equalization in MIMO-OFDM System

Girija

Rao

2020

2020 3rd International Conference on Information and Computer Technologies (ICICT)

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Decorrelating bootstrap equalizer for time-variation suppression of MIMO channel

Cited by 4 publications

References 12 publications

Effects of swift heavy ion-irradiation on mica- and coal-based rocks of Lower Himalayas in Sikkim, India

Effects of swift heavy ion-irradiation on mica- and coal-based rocks of Lower Himalayas in Sikkim, India

Fractional weighted ZF equalizer: A novel approach for channel equalization in MIMO-OFDM system under impulse noise environment

Robust Adaptive AutoRegressive Weighted Constant Modulus Algorithm for Blind Equalization in MIMO-OFDM System

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