On performance analysis of LS and MMSE for channel estimation in VLC systems

Hussein, Yaseein Soubhi; Alias, Mohamad Yusoff; Abdulkafi, Ayad Atiyah

doi:10.1109/cspa.2016.7515832

Cited by 52 publications

(20 citation statements)

References 14 publications

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“…The indices set A(2.5, 2.5, 0.8, 0 [15]. OOK pilot training modulated sequence vector P j (t) = [P 1 (t), P 2 (t), .…”

Section: A Constrained Fov-adrmentioning

confidence: 99%

“…ADR is used to reduce channel correlation in MIMO systems, improve the coverage of optical wireless systems, increase signal-to-interference-ratio (SINR) and system throughput. Also, the FOV of the ADR can be adjusted to eliminate the CCI and reduce ISI by receiving a maximum of one LOS signal on each PD [15]. Clearly, ADR has a compact receiver size and it does not require hardware adjustment to enable receiver's mobility in contrast to other designs.…”

Section: Introductionmentioning

confidence: 99%

“…Generally, two techniques are commonly used for channel estimation which are Least Square Error (LS) and Minimum-Mean-Square-Error (MMSE). In this paper, the LS is used as MMSE is more complex and it requires noise distribution to be known at the receiver [15], [18].…”

Section: Introductionmentioning

confidence: 99%

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Interference Mitigation Using Angular Diversity Receiver With Efficient Channel Estimation in MIMO VLC

et al. 2020

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Visible Light Communication (VLC) is a promising solution to meet the ever increasing demand for indoor data connectivity with high bit rates. VLC uses the license-free bands and provides high-speed connections unlike RF wireless communication. However; indoor VLC suffers from performance degradation due to either co-channel interference (CCI) or inter-symbol interference (ISI). In this paper, an interference management scheme is proposed for VLC Multi-Input Multi-Output (MIMO) based systems. The scheme reduces the number of interfered signals by using a constrained field-of-view angular diversity receiver CFOV-ADR and then uses least-square (LS) channel estimation with maximum-likelihood (ML) equalizer to resolve the interfered signals. The proposed interference mitigation scheme using constrained-FOV-ADR with channel estimation IM-CFOV-CE enables frequency reuse of one. The bit-error-rate (BER) is calculated at various room positions with different receiver's heights and rotation angles. The performance evaluation results reveal that the proposed system can achieve a higher number of downlink channels and superior BER performance than that of without CCI management. Also, the proposed scheme has been compared with Time Division Multiple Access (TDMA) technique, and achieves enhanced performance at all positions and orientations of the ADR. INDEX TERMS Angular diversity receiver (ADR), co-channel interference (CCI), interference mitigation, visible light communication (VLC).

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“…The indices set A(2.5, 2.5, 0.8, 0 [15]. OOK pilot training modulated sequence vector P j (t) = [P 1 (t), P 2 (t), .…”

Section: A Constrained Fov-adrmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Interference Mitigation Using Angular Diversity Receiver With Efficient Channel Estimation in MIMO VLC

et al. 2020

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“…While DFT-LS performs better than the ordinary LS estimator in terms of BER at different orders of constellation, it is less accurate than an MMSE estimator is. [19]. In [7], an adaptive channel estimation method based on a LS discrete Fourier transform (LS-DFT) and orthogonal matching pursuit (OMP) was proposed as a means to enhance the reliability of asymmetrically clipped DC-biased optical (ACO-OFDM) VLC systems.…”

Section: Related Workmentioning

confidence: 99%

Expectation-maximization-based channel estimation algorithm for OFDM visible light communication systems

Alias

Omar

Salleh

et al. 2018

IJET

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The tremendous growth of indoor communication requires increased capacity and appropriate quality of services. Visible light communica-tion (VLC) is a green technology that shows great promise in terms of its ability to meet the demand for communication services. Orthogo-nal frequency division multiplexing (OFDM) enables VLC to provide a higher data rate and to combat inter-symbol interference. However, an accurate and efficient channel estimation method is needed for coherent demodulation at the receiver end of an OFDM system. In this paper, a new algorithm for OFDM-based VLC systems is proposed. The algorithm is based on expectation maximization and is called the expectation maximization for visible light communication (EM-VLC) algorithm. The algorithm is implemented to find the maximum-likelihood (ML) estimation of the channel impulse response and to find unknown parameters. In addition, a low-rank minimum mean square error (lr-MMSE) estimator algorithm is developed and its performance is compared with least squares (LS) and minimum mean square error (MMSE) estimators. The proposed EM-VLC algorithm improves the performance of OFDM VLC systems by significantly reducing the bit error rate (BER) and consequently increasing system throughput. The simulation results demonstrate that the EM-VLC algorithm outper-forms the three channel estimation algorithms, LS, MMSE and lr-MMSE.

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“…We can observe that the values of BER get reduced while increasing the SNR values. The work presented in [25], shown that the analysis of both least square (LS) and minimum mean square error (MMSE) channel estimation algorithms. When SNR is 12 dB the LS estimator has a BER of 10 -1 , which is higher than that of the MMSE estimator.…”

Section: Simulation Analysismentioning

confidence: 99%

A Robust Estimation and Tracking of Channel for Time and Frequency Selective MIMO-OFDM Systems

Devi¹,

Babu²

2018

IJIES

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Due to the higher data transmission networks and maximum efficiency, multiple-input-multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) has become most vital wireless communications system in nowadays. Accurate estimation of channel under severe time and frequency selective fading channels has been required by these MIMO-OFDM systems for enabling high practical mobility. Established methods trust on nonrealistic estimations or result in impractical complexities. In this, we presented a new MIMO-OFDM channel estimation (CE) scheme for pilot length minimizing by designing novel pilot bits from the Hadamard matrices of Paley (HM-P) type I allows its orthogonal and diagonal constant matrix structures manipulations. Additionally, we also implemented a method which estimates the channel impulse response length to enamour existed number of multipath within the channel by stretching the length of pilot. Furthermore, our proposed channel estimation scheme modified to derive the initial fluctuation of channel and its Doppler rate, afterwards during the payload applied for tracking of MIMO channel using fast adaptive hybrid linear quadratic estimation (FAH-LQE) filter. Experimental analysis has done in MATLAB environment under Rayleigh distribution and achieved excellent channel estimation and channel tracking performances over the state-of-art channel estimation algorithms. Our proposed scheme also achieved lower diversity of transmitting bits by applying FAH-LQE filter and the superior estimation of channel under multipath conditions while increasing the number of pilot bits sent per transmitting antenna.

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On performance analysis of LS and MMSE for channel estimation in VLC systems

Cited by 52 publications

References 14 publications

Interference Mitigation Using Angular Diversity Receiver With Efficient Channel Estimation in MIMO VLC

Interference Mitigation Using Angular Diversity Receiver With Efficient Channel Estimation in MIMO VLC

Expectation-maximization-based channel estimation algorithm for OFDM visible light communication systems

A Robust Estimation and Tracking of Channel for Time and Frequency Selective MIMO-OFDM Systems

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