Complexity Efficient Least Squares Estimation of Frequency Offsets for DVB-C2 OFDM Systems

Jung, Yongju; Kim, Joon-Yub; You, Young-Hwan

doi:10.1109/access.2018.2844800

Cited by 7 publications

(27 citation statements)

References 13 publications

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“…In OFDM, post-FFT estimation schemes are in practice performed in the frequency-domain, either in a pilot-aided or blind way. Since many pilot symbols are provided to help acquire synchronization in the DVB-C2 system, we focus our attention on the pilot-based estimation strategy [23][24][25][26][27][28][29], which is introduced as a reference to the proposed scheme. Considering the characteristics of the cable channel, we assume that the CFR is unchanged over several successive OFDM blocks.…”

Section: Conventional Frequency-offset Estimation Methodsmentioning

confidence: 99%

“…The LLSE of the CFO and SFO is a well-known solution widely used for the case of unknown CFR [23][24][25], which was proposed originally by using two successive pilots. Here, we straightforwardly extend the LLSE to N b > 2 symbols by averaging statistically independent samples.…”

Section: Conventional Scheme Amentioning

confidence: 99%

“…Hence, it is of primary interest to keep the orthogonality between the transmitter and receiver in the DVB-C2 system [11,12]. A number of pilot-assisted estimation methods have been presented to obtain accurate CFO and SFO estimates in the literature, from maximum likelihood estimation (MLE) to least-squares estimation (LSE) strategies [17][18][19][20][21][22][23][24][25][26][27][28][29][30][31]. Although the MLE is known to provide the optimal estimate of CFO and SFO, its complexity tends to be prohibitively expensive to be applied to practical systems [17][18][19][20].…”

Section: Introductionmentioning

confidence: 99%

“…Although the MLE is known to provide the optimal estimate of CFO and SFO, its complexity tends to be prohibitively expensive to be applied to practical systems [17][18][19][20]. In order to account for this issue, its low-complexity versions have been investigated in many works [21][22][23][24][25][26][27][28][29][30]. In [21][22][23][24][25], the joint CFO and SFO estimation scheme was presented, observing the phase difference between two pilots located in consecutive OFDM symbols based on a decision-directed estimation or linear LSE (LLSE).…”

Section: Introductionmentioning

confidence: 99%

“…In order to account for this issue, its low-complexity versions have been investigated in many works [21][22][23][24][25][26][27][28][29][30]. In [21][22][23][24][25], the joint CFO and SFO estimation scheme was presented, observing the phase difference between two pilots located in consecutive OFDM symbols based on a decision-directed estimation or linear LSE (LLSE). In [26][27][28], a weighted least-squares estimation (WLSE) technique has been suggested using the frequency-domain channel estimate to enhance the estimation performance.…”

Section: Introductionmentioning

confidence: 99%

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Low Complexity and High Accuracy Estimation of Frequency Offsets for OFDM-Based Cable Transmission Systems

Jung

You

2018

Symmetry

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Recently, the application of digital cable transmission standards as a second generation digital transmission system for cable systems (DVB-C2) in addition to MPEG-2 video compression has offered ways to provide a variety of digital high definition television (HDTV) programs. In the DVB-C2 system, the use of an orthogonal frequency division multiplexing (OFDM) modulation enables the delivery of innovative video-on-demand (VOD) and HDTV services. In this paper, a computationally-efficientleast-squares estimation of carrier frequency offset and sampling frequency offset is proposed in the OFDM-based DVB-C2 system. To obtain the noise averaging effect in the synchronization process, we adopt a block-by-block correlation, where observation symbols within two correlation blocks are added and the result is correlated. The use of block-by-block correlation improves the estimation performance and relieves the computational overhead. To optimize the performance of the block-by-block estimation method, the mean squared error is theoretically calculated. It is confirmed from simulation results that the performance of the proposed method is enhanced with a low complexity, in comparison with the existing methods.

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Section: Conventional Frequency-offset Estimation Methodsmentioning

confidence: 99%

Section: Conventional Scheme Amentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Low Complexity and High Accuracy Estimation of Frequency Offsets for OFDM-Based Cable Transmission Systems

Jung

You

2018

Symmetry

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On Synchronisation of ISS-OFDM Signals

Dorokhin

2020

Communications in Computer and Information Science

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A Novel Sampling Frequency Offset Estimation Algorithm for OFDM Systems Based on Cyclostationary Properties

Kumar

Dabora

2019

IEEE Access

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Sampling frequency synchronization in orthogonal frequency division multiplexing (OFDM) communications is critical for achieving the full advantages offered by this modulation scheme. In this paper, we propose a novel and efficient, blind, cyclostationarity-based sampling frequency synchronization (CB-SFS) algorithm for estimating the sampling frequency offset (SFO) in OFDM communications by exploiting the relationship between the sampling frequency and the cyclostationary properties of the sampled received signal. The proposed scheme is ignorant of the channel coefficients and does not require pilots. These two properties are rather unique in this context and are not possessed by previous schemes which achieve comparable estimation performance. These properties also make the proposed CB-SFS scheme suitable for a wide range of communications scenarios. The main novelty of the new scheme is the understanding that SFO alters the cycle frequencies at the receiver, yet these frequencies are a priori known for the discretetime (DT) transmitted signal, as they result from the periodic operation of the DT signal generation scheme at the transmitter. We show that the mismatch between the measured and the expected cycle frequencies is directly related to the SFO. Complexity analysis and numerical simulations are carried out and demonstrate the superiority of the proposed CB-SFS algorithm compared to the existing approaches. It is illustrated that the proposed algorithm can achieve a smaller estimation error at the same complexity order of current algorithms while providing a higher spectral efficiency and robustness to additive stationary noise and to multipath.INDEX TERMS Orthogonal frequency division multiplexing, sampling frequency offset, synchronization, cyclostationary processes, almost cyclostationary processes.

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Complexity Efficient Least Squares Estimation of Frequency Offsets for DVB-C2 OFDM Systems

Cited by 7 publications

References 13 publications

Low Complexity and High Accuracy Estimation of Frequency Offsets for OFDM-Based Cable Transmission Systems

Low Complexity and High Accuracy Estimation of Frequency Offsets for OFDM-Based Cable Transmission Systems

On Synchronisation of ISS-OFDM Signals

A Novel Sampling Frequency Offset Estimation Algorithm for OFDM Systems Based on Cyclostationary Properties

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