SAGE Algorithm for Semi-Blind Channel Estimation and Symbol Detection for STBC MIMO OFDM Systems

Hedayati, Mohsen Keshavarz; Bakhshi, Hamidreza; Cheraghi, Mehdi

doi:10.1007/s11277-012-0891-0

Cited by 7 publications

(4 citation statements)

References 26 publications

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“…Due to these reasons, OFDM is not suitable for 5G systems. The 5G waveform is expected to have low out-of-band radiations, cyclic prefix, guard bands, silent to timing & frequency offset, low PAPR, and to have higher spectral efficiency [39].…”

Section: Phase Noise Distortionsmentioning

confidence: 99%

Performance Investigation of Phase noise compensation in millimeter wave MIMO-OFDMA Systems

Udayakumar¹,

Krishnaveni

2022

Preprint

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5G cellular networks are of high user demand in mobile data services. A millimeter wave technology is considered a potential one for 5G mobile networks, as it allocates more bandwidth. The next generation of wireless networks i.e Millimeter wave offers multi-gigabit data rates for many mobile users with higher attenuations. The major drawback in high-frequency communication systems (mmWaves) is Phase noise. These Phase noises are due to non-linearity conditions of local oscillators, which introduce Common phase error (CPE) & Inter-carrier interference (ICI). To overcome the phase noise effect in mmWave systems, the Multiple-Input & Multiple-Output (MIMO) beamforming is used for higher order data transmissions. In the situation of the common oscillator, the phase noise at MIMO-OFDM has the same influence on the transmitter and receiver sides in terms of Error vector magnitude. But in the independent oscillator case, it has different levels of influence. The measurement of channel metrics such as Average Power Delay Profile, Power Elevation Profile, and Power Azimuth Profile are employed to reduce the Phase noise in millimeter MIMO-OFDMA systems. A Unitary Space Alternating Generalized Expectation-maximization (U-SAGE) algorithm is proposed for channel measurements based on Phase noise reduction in millimeter waves. This paper discusses the reduction of Phase noise greatly in independent oscillator cases using U-SAGE Algorithm.

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Section: Phase Noise Distortionsmentioning

confidence: 99%

Performance Investigation of Phase noise compensation in millimeter wave MIMO-OFDMA Systems

Udayakumar¹,

Krishnaveni

2022

Preprint

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“…J. K. Bhalania et al [4] invested sweat and blood in bringing out two combined semi-blind channel evaluation and data recognition methods and carried out incessant research for Alamouti coded single-carrier (SC) multiple-input multiple-output (MIMO) communication system using Rayleigh flat fading channel model. M. K. Hedayati et al [18] got wide acclaim for spearheading the semi-blind channel evaluation and symbol recognition in accordance with the space-alternating generalized expectationmaximization (SAGE) technique. It was intended for space time block coded (STBC) multiple input multiple output orthogonal frequency division multiplexing (MIMO-OFDM) systems.…”

Section: Related Workmentioning

confidence: 99%

BI-Scale Fractional Order Statistics for Blind Channel Estimation in Chaotic STBC Systems

Prabhakar¹

2016

IJIES

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Space-Time Block Coding (STBC) is a MIMO based approach which achieves high reliability and diversity by transmitting multiple copies of data stream across antennas. In this paper, bi-scale based fractional order statistics for blind channel estimation in chaotic STBC systems are proposed. Accordingly, the proposed communication system contains chaotic modulator and transmitter in the transmitter section. Then, the receiver contains the channel equalizer and chaotic demodulator. In the channel equalizer, the signal is transmitted through a channel which is estimated through the proposed channel estimation algorithm. In the proposed channel estimation, the weight updating formulae will be modified based on the comparison of the estimated weighted values and its old weighted value. The analysis of the technique is carried out by finding out the evaluation metrics of BER, MSE and SER with respect to SNR and different antenna array sizeof 4, 5 and 6.

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“…To resume, the performance of statistical algorithms is usually influenced by the finite data effect. The deterministic algorithms [130][131][132][133]139,146] are the more complex ones, but they converge faster.…”

mentioning

confidence: 99%

“…However, in [131] a space-alternating generalized expectation-maximization (SAGE)related scheme for STBC is divulged. The channel coefficients are estimated at pilot positions by a decomposition of the superimposed received signals, while the rest of the coefficients are calculated by Wiener interpolation.…”

mentioning

confidence: 99%

A Survey on MIMO-OFDM Systems: Review of Recent Trends

Harkat

Monteiro

Gameiro

et al. 2022

Signals

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MIMO-OFDM is a key technology and a strong candidate for 5G telecommunication systems. In the literature, there is no convenient survey study that rounds up all the necessary points to be investigated concerning such systems. The current deeper review paper inspects and interprets the state of the art and addresses several research axes related to MIMO-OFDM systems. Two topics have received special attention: MIMO waveforms and MIMO-OFDM channel estimation. The existing MIMO hardware and software innovations, in addition to the MIMO-OFDM equalization techniques, are discussed concisely. In the literature, only a few authors have discussed the MIMO channel estimation and modeling problems for a variety of MIMO systems. However, to the best of our knowledge, there has been until now no review paper specifically discussing the recent works concerning channel estimation and the equalization process for MIMO-OFDM systems. Hence, the current work focuses on analyzing the recently used algorithms in the field, which could be a rich reference for researchers. Moreover, some research perspectives are identified.

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SAGE Algorithm for Semi-Blind Channel Estimation and Symbol Detection for STBC MIMO OFDM Systems

Cited by 7 publications

References 26 publications

Performance Investigation of Phase noise compensation in millimeter wave MIMO-OFDMA Systems

Performance Investigation of Phase noise compensation in millimeter wave MIMO-OFDMA Systems

BI-Scale Fractional Order Statistics for Blind Channel Estimation in Chaotic STBC Systems

A Survey on MIMO-OFDM Systems: Review of Recent Trends

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