Efficient Integer Frequency Offset Estimation Architecture for Enhanced OFDM Synchronization

Pham, Thinh Hung; Fahmy, Suhaib A.; McLoughlin, Ian

doi:10.1109/tvlsi.2015.2453207

Cited by 27 publications

(17 citation statements)

References 22 publications

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“…Hence, timing and frequency synchronization is one important step that must be designed for these systems [41]. Several timing and frequency synchronization techniques have been presented in the literature, which are either training data aided [42]- [45] or simply blind [41], [46]- [48]. The second scheme, which is also known as non-data aided, is power efficient or bandwidth efficient and can be utilized when the cyclic prefix is absent.…”

Section: B Signal Modelmentioning

confidence: 99%

Power Minimization-Based Robust OFDM Radar Waveform Design for Radar and Communication Systems in Coexistence

Shi

Wang

Sellathurai

et al. 2018

IEEE Trans. Signal Process.

232

144

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Section: B Signal Modelmentioning

confidence: 99%

Power Minimization-Based Robust OFDM Radar Waveform Design for Radar and Communication Systems in Coexistence

Shi

Wang

Sellathurai

et al. 2018

IEEE Trans. Signal Process.

232

144

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“…After FFO compensation and cyclic prefix removal, the frequency domain samples are obtained via fast Fourier transform (FFT) processing. Once the first step is completed, the IFO is estimated together with residual STO, which can usually be done in the frequency domain [12][13][14][15][16][17][18]. After frequency synchronization, there are residual CFO and SFO errors that continuously rotate the phase of the OFDM symbol.…”

Section: Synchronization In Ofdmmentioning

confidence: 99%

“…If not correctly detected and removed, the fractional CFO (FFO) gives rise to the imperfection of the orthogonality among the subcarriers, leading to the inter-carrier interference (ICI), while the integer CFO (IFO) produces a cyclic shifting of all subcarriers in the frequency domain [8]. To address this issue, a lot of estimation methods have been studied for the estimation of the FFO and the IFO [9][10][11][12][13][14][15][16][17][18].…”

Section: Introductionmentioning

confidence: 99%

Robust Blind Detection of Integer Carrier Frequency Offset for Terrestrial Broadcasting Systems Using Band Segmented Transmission

Jung

You

2019

Symmetry

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In the integrated services digital broadcasting-terrestrial (ISDB-T) system, the combination of digital terrestrial transmission and MPEG-4 advanced video coding (MPEG-4 AVC) has offered ways to provide a variety of digital high-definition television (HDTV) programs. Using band segmented transmission orthogonal frequency division multiplexing (BST-OFDM), the delivery of innovative video-on-demand and HDTV services is supported. To take full advantage of the attractive benefits of BST-OFDM, it is important to estimate integer frequency offset (IFO) without a priori knowledge on the segment type that is transmitted over transmission and the multiplexing configuration control (TMCC) signal. To address this issue, an efficient IFO detection method is proposed for the ISDB-T system employing BST-OFDM. To enable IFO detection independent of the segment type, information-bearing TMCC signals that are asymmetrically distributed in the frequency domain are used as pilot symbols. Numerical analysis is performed to present the relationship between error probability and design parameter. We show via the numerical results that the multiple transmitted TMCC information is efficiently used for blind estimation of the IFO, achieving robust estimation in the presence of the fractional frequency offset.

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“…The performance of the proposed method is investigated in comparison to the state of the art (SoA) method presented in [13] in AWGN channel with the present of CFO. The comparison is presented in terms of the accuracy of both time synchronization and fractional CFO estimation.…”

Section: Performance In Awgn Channelsmentioning

confidence: 99%

An Efficient Data-aided Synchronization in L-DACS1 for Aeronautical Communications

Pham

Vinod

Madhukumar

2017

Proceedings of the 2017 International Conference on Data Mining, Communications and Information Technology

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L-band Digital Aeronautical Communication System type-1 (L-DACS1) is an emerging standard that aims at enhancing air traffic management (ATM) by transitioning the traditional analog aeronautical communication systems to the superior and highly efficient digital domain. L-DACS1 employs modern and efficient orthogonal frequency division multiplexing (OFDM) modulation technique to achieve more efficient and higher data rate in comparison to the existing aeronautical communication systems. However, the performance of OFDM systems is very sensitive to synchronization errors. L-DACS1 transmission is in the L-band aeronautical channels that suffer from large interference and large Doppler shifts, which makes the synchronization for L-DACS more challenging. This paper proposes a novel computationally efficient synchronization method for L-DACS1 systems that offers robust performance. Through simulation, the proposed method is shown to provide accurate symbol timing offset (STO) estimation as well as fractional carrier frequency offset (CFO) estimation in a range of aeronautical channels. In particular, it can yield excellent synchronization performance in the face of a large carrier frequency offset.

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Efficient Integer Frequency Offset Estimation Architecture for Enhanced OFDM Synchronization

Cited by 27 publications

References 22 publications

Power Minimization-Based Robust OFDM Radar Waveform Design for Radar and Communication Systems in Coexistence

Power Minimization-Based Robust OFDM Radar Waveform Design for Radar and Communication Systems in Coexistence

Robust Blind Detection of Integer Carrier Frequency Offset for Terrestrial Broadcasting Systems Using Band Segmented Transmission

An Efficient Data-aided Synchronization in L-DACS1 for Aeronautical Communications

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