Maximum likelihood algorithms for joint estimation of synchronisation impairments and channel in multiple input multiple output–orthogonal frequency division multiplexing system

Jose, Renu; Hari, K.V.S.

doi:10.1049/iet-com.2012.0667

Cited by 11 publications

(11 citation statements)

References 21 publications

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“…3) Literature Review: The summary of the research carried out to achieve timing and carrier synchronization in singlecarrier multi-antenna communication systems is given in Table IX: 1) The estimation or compensation of TO and CFO alone is studied in [230,235,240] and [216,217,218,219,221,222,223,224,225,226,227,228,229,231,234,236,237,238,239,241,242,244,245,246], respectively. 2) The joint timing and carrier synchronization is studied in [215,220,232,233,243].…”

Section: Multi-antenna Systemsmentioning

confidence: 99%

Timing and carrier synchronization in wireless communication systems: a survey and classification of research in the last 5 years

Nasir

Durrani

Mehrpouyan

et al. 2016

J Wireless Com Network

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Timing and carrier synchronization is a fundamental requirement for any wireless communication system to work properly. Timing synchronization is the process by which a receiver node determines the correct instants of time at which to sample the incoming signal. Carrier synchronization is the process by which a receiver adapts the frequency and phase of its local carrier oscillator with those of the received signal. In this paper, we survey the literature over the last 5 years (2010)(2011)(2012)(2013)(2014) and present a comprehensive literature review and classification of the recent research progress in achieving timing and carrier synchronization in single-input single-output (SISO), multiple-input multiple-output (MIMO), cooperative relaying, and multiuser/multicell interference networks. Considering both single-carrier and multi-carrier communication systems, we survey and categorize the timing and carrier synchronization techniques proposed for the different communication systems focusing on the system model assumptions for synchronization, the synchronization challenges, and the state-of-the-art synchronization solutions and their limitations. Finally, we envision some future research directions.

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Section: Multi-antenna Systemsmentioning

confidence: 99%

Timing and carrier synchronization in wireless communication systems: a survey and classification of research in the last 5 years

Nasir

Durrani

Mehrpouyan

et al. 2016

J Wireless Com Network

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“…In [16], a technique of joint CFO and channel estimation for uplink MIMO orthogonal frequency division multiple access (MIMO-OFDMA) systems is investigated while time-varying channels are considered. By means of the training sequence, the maximum likelihood (ML) estimator, which asymptotically achieves the CRLB, is proposed in [17]. Another novel ML-based scheme that estimates the aggregate effects of the channel and CFO by using two successive OFDM preambles can be found in [18].…”

Section: Introductionmentioning

confidence: 99%

“…Another novel ML-based scheme that estimates the aggregate effects of the channel and CFO by using two successive OFDM preambles can be found in [18]. Although the above-mentioned studies [16][17][18] including the ML estimate approaches [17,18] provide superior performance while taking their predominance into account, all of these approaches require a prior knowledge of channel length (CL), but CL is difficult to be acquired especially when CFO is considered in MIMO-OFDM systems. When CL is not known in advance or under-determined, the ML estimator's performance will not asymptotically approach the CRLB any more because the degrees of freedom are insufficient.…”

Section: Introductionmentioning

confidence: 99%

On the CFO/Channel estimation technique for MIMO-OFDM systems without using a prior knowledge of channel length

Lin

Hwang

2015

J Wireless Com Network

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In this paper, we propose an estimator which jointly estimates the carrier frequency offset (CFO) and channel state without a prior knowledge of channel length (CL) for a multiple-input multiple-output orthogonal frequency-division multiplexing system. A preliminary CFO/channel estimate is first reached based on the maximum-likelihood criterion. To improve the over-determined problem, a CL estimation technique is further developed. The first-order Taylor series expansion approach is used to determine the trimmed CFO estimate such that the exhaustive point search can be avoided. Simulation results have been presented to demonstrate that the proposed scheme provides a performance comparable to that of the optimal estimation which assumes that CL is known in advance.

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“…To maximize the advantages of MIMO-OFDM, it is therefore of crucial importance to accurately estimate the CFO and SFO [22,23]. In the literature, a number of pilot-assisted approaches, from maximum likelihood estimation (MLE) to linear least-squares estimation (LSE) strategies [22][23][24][25][26][27][28][29][30][31][32][33][34][35], have been presented to obtain accurate CFO and SFO estimates. The MLE is well known to be capable of achieving high accuracy in joint estimation of CFO and SFO, but its high complexity limits its practical use [22][23][24][25].…”

mentioning

confidence: 99%

“…In the literature, a number of pilot-assisted approaches, from maximum likelihood estimation (MLE) to linear least-squares estimation (LSE) strategies [22][23][24][25][26][27][28][29][30][31][32][33][34][35], have been presented to obtain accurate CFO and SFO estimates. The MLE is well known to be capable of achieving high accuracy in joint estimation of CFO and SFO, but its high complexity limits its practical use [22][23][24][25]. To solve the complexity issue, a considerable amount of research has been devoted to the low complexity variants of joint MLE [26][27][28][29][30][31][32][33][34][35].…”

mentioning

confidence: 99%

Efficient Joint Estimation of Carrier Frequency and Sampling Frequency Offsets for MIMO-OFDM ATSC Systems

Jung

You

2018

Symmetry

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Multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) is appealing for the provision of high spectral efficiency in digital terrestrial broadcast systems. To fully obtain its advantageous features, it is very important to remove the frequency mismatch between the transmitter and the receiver. In this paper, we present the performance analysis of joint estimation of carrier and sampling frequency offsets in the MIMO-OFDM-based advanced television systems committee (ATSC) 3.0 system. In the MIMO-OFDM ATSC system, the continual pilot (CP) is primarily utilized to perform frequency synchronization. To efficiently suppress an unwanted bias introduced by the presence of random-likely located CPs, an optimal pilot subset is selected to form the basis of least squares frequency-offset estimation. A closed-form mean squared error is derived in the context of MIMO-OFDM, considering the multipath fading channel. We show via computer simulations and numerical analysis that the proposed estimation method achieves higher estimation accuracy than the existing estimation method.Despite many advantageous features, the OFDM-based ATSC 3.0 system has a few key issues that have to be addressed. One of the biggest weaknesses of OFDM is its vulnerability to synchronization mismatches, including symbol timing offset (STO), carrier frequency offset (CFO), and sampling frequency offset (SFO) in a frequency-selective fading environment [17]. If these effects are not properly compensated, OFDM systems can suffer from severe inter-symbol interference (ISI) or inter-channel interference (ICI), which downgrades the performance of OFDM and MIMO-OFDM systems. To eliminate ICI and ISI effects, the receiver must first estimate the correct STO [18,19]. Second, it is essential that the frequency offset on the OFDM block is estimated and corrected to remove ICI. In particular, the performance of OFDM receivers is greatly affected by SFO as the fast Fourier transform (FFT) size becomes larger [20], which usually occurs in a typical broadcast system. Therefore, the challenges in the MIMO-OFDM-based ATSC 3.0 system are its susceptibility to the frequency synchronization between the transmitter and the receiver. In order to help acquire synchronization, the ATSC 3.0 system provides several types of pilot symbols such as scattered pilots (SPs), edge pilots (EPs), continual pilots (CPs), and subframe boundary pilots (SBPs) [10]. The SPs, EPs, and SBPs are mainly dedicated to estimate the channel, whereas CPs are present to assist time and frequency estimation [21]. To maximize the advantages of MIMO-OFDM, it is therefore of crucial importance to accurately estimate the CFO and SFO [22,23]. In the literature, a number of pilot-assisted approaches, from maximum likelihood estimation (MLE) to linear least-squares estimation (LSE) strategies [22][23][24][25][26][27][28][29][30][31][32][33][34][35], have been presented to obtain accurate CFO and SFO estimates. The MLE is well known to be capable of achieving high accuracy in joi...

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Maximum likelihood algorithms for joint estimation of synchronisation impairments and channel in multiple input multiple output–orthogonal frequency division multiplexing system

Cited by 11 publications

References 21 publications

Timing and carrier synchronization in wireless communication systems: a survey and classification of research in the last 5 years

Timing and carrier synchronization in wireless communication systems: a survey and classification of research in the last 5 years

On the CFO/Channel estimation technique for MIMO-OFDM systems without using a prior knowledge of channel length

Efficient Joint Estimation of Carrier Frequency and Sampling Frequency Offsets for MIMO-OFDM ATSC Systems

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