Noise-Robust Channel Estimation for DVB-T Fixed Receptions

Lee, You-Seok; Kim, Hyoung-Nam

doi:10.1109/icce.2007.341562

Cited by 4 publications

(11 citation statements)

References 8 publications

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“…This method can provide more accurate interpolation results because the noise power at the pilot position is suppressed by averaging adjacent frames. Meanwhile, a similar noise reduction method by averaging the channel coefficients of LS estimation in two or more OFDM frames is proposed in [32,33]. These averaging methods in [31][32][33], which use a fixed average frame number, can be implemented on time invariant channels and are very simple to implement in practice.…”

Section: Related Workmentioning

confidence: 99%

“…Meanwhile, a similar noise reduction method by averaging the channel coefficients of LS estimation in two or more OFDM frames is proposed in [32,33]. These averaging methods in [31][32][33], which use a fixed average frame number, can be implemented on time invariant channels and are very simple to implement in practice. However, it cannot be applied directly to dynamic channels, because the Doppler spread and the ensuing ICI in dynamic channels will bring Doppler distortion in the averaging process.…”

Section: Related Workmentioning

confidence: 99%

“…LetĤ T (k, n) be the CFR estimated from the threshold value method for the k-th subcarrier in the n-th signal frame, and the averaging of multi-frame CFR can be expressed as [33]:…”

Section: The Proposed Adaptive Weighted Averaging Channel Estimation mentioning

confidence: 99%

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A Novel Noise Suppression Channel Estimation Method Based on Adaptive Weighted Averaging for OFDM Systems

2019

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Orthogonal frequency division multiplexing (OFDM) systems have inherent symmetric properties, such as coding and decoding, constellation mapping and demapping, inverse fast Fourier transform (IFFT) and fast Fourier transform (FFT) operations corresponding to multi-carrier modulation and demodulation, and channel estimation is a necessary module to resist channel fading in the OFDM system. However, the noise in the channel will significantly affect the accuracy of channel estimation, which further affects the recovery quality of the final received signals. Therefore, this paper proposes an efficient noise suppression channel estimation method for OFDM systems based on adaptive weighted averaging. The basic idea of the proposed method is averaging the last few channel coefficients obtained from coarse estimation to suppress the noise effect, while the average frame number is adaptively adjusted by combining Doppler spread and signal-to-noise ratio (SNR) information. Meanwhile, to better combat the negative effect brought by Doppler spread and inter-carrier interference (ICI), the proposed method introduces a weighting factor to correct the weighted value of each frame in the averaging process. Simulation results show that the proposed channel estimation method is effective and provides better performance compared with other conventional channel estimation methods.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

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A Novel Noise Suppression Channel Estimation Method Based on Adaptive Weighted Averaging for OFDM Systems

2019

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“…First of all, the channel is assumed not to vary in time domain for four data symbols, which is a similar assumption to other channel estimators for DVB-T [22]- [25]. Therefore, the pilots are gathered in groups of four OFDM data symbols (in frequency domain) in only one symbol, obtaining one pilot subcarrier out of three subcarriers.…”

Section: Channel Estimationmentioning

confidence: 99%

A 2$\times$2 MIMO DVB-T2 System: Design, New Channel Estimation Scheme and Measurements With Polarization Diversity

Gómez-Calero¹,

Navarrete²,

Haro³

et al. 2011

IEEE Trans. on Broadcast.

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The increasing interest in MIMO (Multiple-Input Multiple-Output) systems has given rise to a prolific research activity in recent years. Both theoretical and practical issues have been studied. However, so far few MIMO testbeds or prototypes have been built for DVB-T or future standards. In this paper, a novel 2 2 MIMO testbed specifically designed for evaluating the performances of a DVB-T2 MIMO system is presented. The description of signal processing is detailed including a new scheme to estimate the MIMO channel matrix. Finally, measurement results with different polarization schemes are presented for typical scenarios, obtaining higher capacity in LoS situations using polarization diversity.Index Terms-Field trials and test results, multiple-input multiple-output, signal processing for transmission.

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“…First of all, the channel is asummed not to vary in time domain for 4 data symbols, similar to other channel estimators for DVB-T (Lee et al, 2007, Palin & Rinne 1999, Chen et al, 2003, Fang & Ma, 2007. Therefore, the pilots are gathered in groups of 4 OFDM data symbols in only one symbol, obtaining one pilot subcarrier out of 3 subcarriers.…”

Section: Channel Estimationmentioning

confidence: 99%