Performance Bounds Analysis for Semi-Blind Channel Estimation in MIMO-OFDM Communications Systems

Ladaycia, Abdelhamid; Mokraoui, Anissa; Abed-Meraim, Karim; Belouchrani, Adel

doi:10.1109/twc.2017.2717406

Cited by 30 publications

(15 citation statements)

References 20 publications

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“…This sample size is suitable for resource‐block sizes specified in a number of standards, e.g. in [22]. Without loss of generality, signals are mapped to binary phase shift keying constellations.…”

Section: Simulation Resultsmentioning

confidence: 99%

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Polynomial matrix decompositions and semi‐blind channel estimation for MIMO frequency‐selective channels

Hassan¹,

Redif²,

Lambotharan

2019

IET signal process.

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The authors propose a semi‐blind channel estimation (semi‐BCE) and precoding/decoding technique for frequency selective (FS) multiple‐input multiple‐output (MIMO) channels. A FS MIMO channel can be represented using a matrix whose elements are polynomials; hence their method is based on polynomial matrix decomposition. Polynomial eigenvalue decomposition (PEVD) and polynomial QR decomposition (PQRD) are the generalisation of eigenvalue decomposition and QR decomposition; they are suitable for decoupling and precoding of FS MIMO channels. As the coding of communication channels requires reliable estimation of the channel, a semi‐BCE scheme, coupled with PQRD/PEVD‐based MIMO‐channel decomposition, is attractive since this reduces training overhead (pilot transmission) considerably, resulting in higher spectral efficiency. The proposed semi‐BCE algorithm is a generalisation of a recently developed single‐input single output BCE method to MIMO systems. A new class of PQRD algorithms is introduced, which is based on the recently‐developed sequential matrix diagonalisation (SMD). The decoders produced by the proposed SMD‐based PQRD algorithm are shown to be more suitable (efficient) for MIMO‐channel equalisation than those generated by the prior art. Computer simulations show that the proposed MIMO‐channel coding strategy compares favourably to state‐of‐the‐art MIMO systems, in terms of bit error rate performance, while reducing the overhead.

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Section: Simulation Resultsmentioning

confidence: 99%

“…An alternative approach is one that benefits from both pilot‐based estimation and BCE, termed semi‐BCE, which can reduce the required overhead by >95% for MIMO‐OFDM systems adopting standard pilot patterns [22].…”

Section: Introductionmentioning

confidence: 99%

Polynomial matrix decompositions and semi‐blind channel estimation for MIMO frequency‐selective channels

Hassan¹,

Redif²,

Lambotharan

2019

IET signal process.

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“…Several types of research presented the S-BCE technique to solve the drawback of pilot and BCE techniques. The S-BCE technique achieves better performance and improve accuracy than pilot/BCE technique [18], [19].…”

Section: Semi-blind Channel Estimation (S-bce)mentioning

confidence: 97%

A Review Based on Channel Estimation for Optical - Orthogonal Frequency Division Multiplexing

Joseph¹,

Puttamadappa²

2019

IJEET

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Optical -Orthogonal Frequency Division Multiplexing (OFDM) system generally employ in several communication devices such as telephone, radio, television, internet and so on. In the present days, the optical OFDM is one of the significant methods for an effective communication system. In communication technique, the channel estimation plays a major role in finding the characteristics of the channel based on the received data value. In order to manage the communication data, most of the researchers focused on the channel estimation by using different techniques like Minimum Mean Square (MMSE), Least Square, blind, semi-blind and also developed new methodologies in the coherent optical OFDM. This review paper analysed the research works based on the channel estimation algorithms of an optical OFDM and also examined the major limitation of these techniques. This paper will help the researchers to give a better solution for the present drawbacks in the coherent optical OFDM system.Channel estimation techniques commonly categorize as semi-blind, blind, Pilot Aided (PA) channel estimations. The blind channel estimation performs by utilizing the statistics of received data, virtual carriers, cyclic prefix, and received diversity. That blind estimations commonly require the channel to be constant for a huge number of blocks. So, the blind channel estimation approach is not suitable for large mobility applications. The topmost communication standards such as Long-Term Evaluations (LTEs) and digital video broadcasting has increased the system efficiency by using the pilot channel estimation techniques. In large mobility channel estimation, each stage has individual challenges and features due to a long time dispersion, and the fast time-variation of the channels [11]. General procedure for the Channel EstimationPresently most of the communication systems require channel estimation for symbol detection and equalization process. It improves by employing dedicated pilot symbol, which consumes a non-negligible part of power resources and throughput for huge dimensional device/system. The LS approach based channel estimation technique is most suitable for other optical OFDM systems. The physical Visible Light Communication (VLC) channel scheme includes diffuse

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“…In [10], we proposed a realistic approximation to bypass the high complexity of the exact BPSK/QPSK FIM computation. In (N t × N r ) MIMO-OFDM system, the likelihood function is given as a mixture of Q Nt Gaussian pdfs:…”

Section: Crb For Semi-blind Channel Estimationmentioning

confidence: 99%

Toward green communications using semi-blind channel estimation

Ladaycia

Mokraoui

Abed-Meraim

et al. 2017

2017 25th European Signal Processing Conference (EUSIPCO)

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Abstract-In most Multiple-Input Multiple-Output Orthogonal Frequency Division Multiplexing (MIMO-OFDM) systems, channel estimation is required for equalization and symbol detection. It often exploits the specified pilot symbols consuming not only a large part of the throughput but also significant power resources. This paper quantifies the theoretical maximum power reduction of the transmitted pilots when semiblind channel estimator is deployed while ensuring the same pilot-based channel estimation performance for BPSK/QPSK data models and a block-type pilot arrangement as specified in the IEEE 802.11n standard. A Least Square Decision Feedback (LS-DF) semi-blind channel estimator is then considered showing that a reduction of 76% of the pilot's power is obtained compared to the LS pilot-based estimator for the same channel estimation performance.

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Performance Bounds Analysis for Semi-Blind Channel Estimation in MIMO-OFDM Communications Systems

Cited by 30 publications

References 20 publications

Polynomial matrix decompositions and semi‐blind channel estimation for MIMO frequency‐selective channels

Polynomial matrix decompositions and semi‐blind channel estimation for MIMO frequency‐selective channels

A Review Based on Channel Estimation for Optical - Orthogonal Frequency Division Multiplexing

Toward green communications using semi-blind channel estimation

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