Efficient Optical MIMO–OFDM Channel Estimation Based on Correntropy Compressive Sensing

Al-Amir, A.; Esmaiel, Hamada; Hussein, Hany S.

doi:10.1007/s11277-020-07663-x

Cited by 5 publications

(3 citation statements)

References 31 publications

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“…A recursive algorithm is used to generate optimal pilot matrices depending on the number of LEDs. In [ 105 ], authors used a generalized LED (GLIM-OFDM) VLC system for channel estimation.…”

Section: Mimo Communication Study Categoriesmentioning

confidence: 99%

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A Comprehensive Survey on MIMO Visible Light Communication: Current Research, Machine Learning and Future Trends

Sejan

Rahman

Aziz

et al. 2023

Sensors

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Visible light communication (VLC) has contributed new unused spectrum in addition to the traditional radio frequency communication and can play a significant role in wireless communication. The adaptation of VLC technology enhances wireless connectivity both in indoor and outdoor environments. Multiple-input multiple-output (MIMO) communication has been an efficient technique for increasing wireless communications system capacity and performance. With the advantages of MIMO techniques, VLC can achieve an additional degree of freedom. In this paper, we systematically perform a survey of the existing work based on MIMO VLC. We categorize the types of different MIMO techniques, and a brief description is given. Different problem-solving approaches are given in the subsequent sections. In addition, machine learning approaches are also discussed in sufficient detail. Finally, we identify the future study direction for MIMO-based communication in VLC.

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“…A recursive algorithm is used to generate optimal pilot matrices depending on the number of LEDs. In [ 105 ], authors used a generalized LED (GLIM-OFDM) VLC system for channel estimation.…”

Section: Mimo Communication Study Categoriesmentioning

confidence: 99%

“…An optimization method was proposed to maximize the minimum Euclidean distance of the received signal. A compressive sensing channel estimation approach was proposed in [ 105 ]. Higher-order statistics correntropy was suggested for generalized LED index modulation of the OFDM system.…”

Section: Mimo Communication Study Categoriesmentioning

confidence: 99%

A Comprehensive Survey on MIMO Visible Light Communication: Current Research, Machine Learning and Future Trends

Sejan

Rahman

Aziz

et al. 2023

Sensors

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“…Looking at the channel estimation studies carried out in recent years in visible light communications, the following studies stand out. In [8][9][10], compressive sensing channel estimation models techniques are proposed for MIMO-OFDM VLC systems. Another channel estimation algorithm for optical OFDM is presented in [11].…”

Section: Introductionmentioning

confidence: 99%

Sparse Channel Estimation for DCO-OFDM VLC Systems in the Presence of Clipping Noise

Bektas

Panayırcı

2021

Preprint

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In this paper, a new iterative channel estimation algorithm is proposed that exploits channel sparsity in the time domain for DC-biased optical orthogonal frequency division multiplexing OFDM (DCO-OFDM) systems in indoor visible light communications (VLC) in the presence of a clipping noise. A path-based channel model is used, in which the channel is described by a limited number of paths, each characterized by a delay and channel gain. Making use of the pilot symbols, overall sparse channel tap delays and path gains were initially estimated by the compressed sensing approach, in the form of the Orthogonal Matching Pursuit (OMP) and the least-squares (LS) algorithms, respectively. Then a computationally efficient and novel iterative channel estimation algorithm is developed that estimates the clipping noise in the time-domain and compensated for its effect in the frequency-domain. Computer simulation results show that the algorithm converges in maximum two iterations and that yields excellent mean square error (MSE) and bit error rate (BER) performance, outperforming those channel estimation algorithms, which do not have the clipping noise mitigation capability.

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Hybrid Optimized LMMSE-Based Channel Estimation with Low Power Trellis Coded Modulation

Senthil Kumaran,

Guttula,

Reddy

2024

Cybernetics and Systems

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Efficient Optical MIMO–OFDM Channel Estimation Based on Correntropy Compressive Sensing

Cited by 5 publications

References 31 publications

A Comprehensive Survey on MIMO Visible Light Communication: Current Research, Machine Learning and Future Trends

A Comprehensive Survey on MIMO Visible Light Communication: Current Research, Machine Learning and Future Trends

Sparse Channel Estimation for DCO-OFDM VLC Systems in the Presence of Clipping Noise

Hybrid Optimized LMMSE-Based Channel Estimation with Low Power Trellis Coded Modulation

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