Improved robustness for channel estimation without pilots for DVB-T2

Martinez, Lorena; Robert, Jörg; Meuel, H.; Sobrón, Iker; Mendicute, Mikel

doi:10.1109/isbmsb.2010.5463093

Cited by 6 publications

(3 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Improved Channel Estimation using Data "Pilots" Whilst the estimated channel is sufficient to decode the payload data correctly, the noise that is always present in real measurements reduces the quality of the measurement results significantly. Therefore, the second step uses additional processing as described in [7,8] to further optimize the measured channel transfer function. After the estimation of the channel, the software is able to decode the complete data stream, which is directly encoded again afterwards.…”

Section: A Initial Channel Estimationmentioning

confidence: 99%

MIMO channel analysis using DVB-T signals

Meuel

Robert

2010

IEEE International Symposium on Consumer Electronics (ISCE 2010)

View full text Add to dashboard Cite

Abstract-The second generation terrestrial transmission standard DVB-T2 introduces the application of MIMO techniques based on the well-known Alamouti scheme for improved mobile and portable reception. However, no channel models are currently available to estimate the gain of Alamouti coding in these channels. Therefore, this document presents a new approach that uses existing DVB-T networks as channel sounder. Using this approach, the complete DVB-T channel is digitized and then evaluated offline using MATLAB, which allows for accurate but time consuming algorithms. Initial measurement results already indicate the high accuracy of the developed solution. This tool can then be used in further measurement campaigns. The obtained measurement results can be incorporated in new channel models that allow for estimating the gain of multi-antenna techniques in these channels.

show abstract

Section: A Initial Channel Estimationmentioning

confidence: 99%

MIMO channel analysis using DVB-T signals

Meuel

Robert

2010

IEEE International Symposium on Consumer Electronics (ISCE 2010)

View full text Add to dashboard Cite

show abstract

“…The second method, named blind estimation, manipulates the statistical or structural properties of the signal, and thus no pilots are needed, thus increasing the system's throughput. In [13], the performance of blind estimation is studied and an optimized algorithm is suggested. In Pilot Symbol Assisted Modulation (PSAM) [14][15][16][17][18] there are different pilot arrangements, the block type and the comb-type.…”

Section: Introductionmentioning

confidence: 99%

Performance comparison of LS, LMMSE and Adaptive Averaging Channel Estimation (AACE) for DVB-T2

Zettas

Lazaridis

Zaharis

et al. 2015

2015 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting

View full text Add to dashboard Cite

Abstract-In this paper the performance of the Adaptive Averaging Channel Estimator (AACE-LS) which is a modified Least Square (LS) estimator and the AACE-LMMSE which is a modified Linear Minimum Mean Error (LMMSE) estimator, are compared with respect to the conventional LS and the LMMSE estimators. The AACE is an estimator which is based on the averaging of the last N Scattered Pilots (SP) from the DVB-T2 model carried in the received OFDM symbols. The proposed method could in general be applied to any pilot based estimator. The noise introduced by the channel is considered as Additive White Gaussian Noise (AWGN) with zero mean and thus an averaging process is used to eliminate it. The estimator adaptively follows the fluctuations of the amplitude envelope in the time domain and adapts the size of the buffer N, with respect to the coherence time (Tc). Finally, based on the averaged estimated channel, the LS or the LMMSE equalizer is applied to the received signal in the frequency domain. Simulations clearly show that the performance of the AACE-LS is superior to the conventional LS estimator and is near to the performance of the LMMSE with no need of a prior knowledge of the statistics and the noise of the channel and thus if the channel is unknown to the receiver, the AACE is a good choice.

show abstract

“…A comparative study of channel estimation methods is provided in [9], where a LS estimator seems to be computationally superior compared to a Minimum Mean Square Error (MMSE) estimator. In [10], a blind channel estimation method is proposed where no pilots are used and thus the throughput is maximized.…”

mentioning

confidence: 99%

A pilot aided averaging channel estimator for DVB-T2

Zettas

Lazaridis

Zaharis

et al. 2013

2013 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)

View full text Add to dashboard Cite

In DVB-T2 broadcasting applications, errors occur due to channel imperfections, reducing the system's throughput. The use of a channel estimator and equalizer counteracts the channel induced distortions and thus improves the system's Bit Error Rate (BER). In our study, a simple-to-implement channel estimator is proposed. It is based on averaging the sub-channel frequency responses of successive OFDM symbols in time, considering a very slow time-varying channel. In the frequency domain, spline interpolation is applied. The proposed estimator can be used in practical receivers with limited computation power and low memory capacity.

show abstract

Improved robustness for channel estimation without pilots for DVB-T2

Cited by 6 publications

References 1 publication

MIMO channel analysis using DVB-T signals

MIMO channel analysis using DVB-T signals

Performance comparison of LS, LMMSE and Adaptive Averaging Channel Estimation (AACE) for DVB-T2

A pilot aided averaging channel estimator for DVB-T2

Contact Info

Product

Resources

About