Pilot-Symbol-Aided Channel Estimation in Time and Frequency

Hoeher, Peter Adam; Kaiser, Stefan; Robertson, Patrick

doi:10.1007/978-1-4615-6231-3_20

Cited by 204 publications

(156 citation statements)

References 10 publications

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“…The performance of the joint 2D filter is similar to that for two 1D filters and outperforms the performance of a single 1D filter with respect to overhead, MSE, and latency [45].…”

Section: Channel Estimation (Ce)mentioning

confidence: 71%

Introduction of Frequency-Domain Signal Processing to Broadband Single-Carrier Transmissions in a Wireless Channel

Adachi

Tomeba

Takeda

2009

IEICE Trans. Commun.

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SUMMARYRecently, frequency-domain equalization (FDE) has been attracting much attention as a way to improve single-carrier (SC) signal transmission in a frequency-selective wireless channel. Since the SC signal spectrum is spread over the entire signal bandwidth, FDE can take advantage of channel frequency-selectivity and achieve the frequency diversity gain. SC with FDE is a promising wireless signal transmission technique. In this article, we review the pioneering research done on SC with FDE. The principles of simple one-tap FDE, channel estimation, and residual intersymbol interference (ISI) cancellation are presented. Multi-input/multioutput (MIMO) is an important technique to improve the transmission performance. Some of the studies on MIMO/SC with FDE are introduced.

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“…The performance of the joint 2D filter is similar to that for two 1D filters and outperforms the performance of a single 1D filter with respect to overhead, MSE, and latency [45].…”

Section: Channel Estimation (Ce)mentioning

confidence: 71%

Introduction of Frequency-Domain Signal Processing to Broadband Single-Carrier Transmissions in a Wireless Channel

Adachi

Tomeba

Takeda

2009

IEICE Trans. Commun.

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“…The idea is to make decisions based on average rather than instantaneous quantities, the advantage being that estimation becomes possible. Assuming wide-sense stationarity, which eliminates the dependence on , we define the optimal set in the average sense, S avg , as: 4 Note that in case i / ∈ C it holds |h i,…”

Section: Most Significant Samples Selection: Mse Lower Boundmentioning

confidence: 99%

“…Complexity can be reduced if one abandons two-dimensional estimation in favor of a separate time and frequency approach. In [4], Hoeher et al showed that by applying one-dimensional Wiener filters over time and frequency it is possible to reduce complexity and achieve good performance, if KCS is available. On the other hand, channel estimation can be accomplished by elaborating raw estimates in the time-domain using a Discrete Fourier Transform (DFT) based scheme.…”

Section: Introductionmentioning

confidence: 99%

OFDM Channel Estimation Based on Impulse Response Decimation: Analysis and Novel Algorithms

Rosati

Corazza

Vanelli‐Coralli

2012

IEEE Trans. Commun.

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Abstract-In this paper, OFDM data-aided channel estimation based on the decimation of the Channel Impulse Response (CIR) through the selection of the Most Significant Samples (MSS) is addressed. Our aim is to approach the Minimum Mean Square Error (MMSE) channel estimation performance, while avoiding the need for a-priori knowledge of channel statistics (KCS). The optimal set of samples is defined in the instantaneous and average senses. We derive lower bounds on the estimation mean-square error (MSE) performance for any MSS selection strategy. We show how MSS-based channel estimation can approach these MSE lower bounds. We introduce novel MSS strategies oriented towards instantaneous decimation (Instantaneous Energy Selection -IES), and windowed decimation (Average Energy Selection -AES). We also consider decimation via Threshold Crossing Selection (TCS), which we characterize analytically, to derive the optimum threshold in the minimum MSE sense. We also propose a sub-optimal method for threshold setting that does not require KCS. Finally, we provide numerical results in terms of both MSE estimation performance and Bit Error Rate (BER) of a coded OFDM system using the proposed channel estimators, to show that they indeed approach MMSE performance.Index Terms-OFDM, channel estimation, minimum mean square error (MMSE), impulse response, pilot tone, DVB, threshold selection.

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“…In PSA channel estimation, a set of predefined pilot symbols is inserted into the data streams to assist the channel estimation process [10], [17], [21], [22]. Let and denote the locations of the subchannels and the OFDM blocks, respectively, where the pilot symbols are transmitted.…”

Section: Overview Of Pilot-symbol-assisted (Psa) Channel Estimationmentioning

confidence: 99%

Channel-aware priority transmission scheme using joint channel estimation and data loading for OFDM systems

Pandana

Sun

Liu

2005

IEEE Trans. Signal Process.

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Abstract-This paper presents a data-loading technique that jointly considers the effect of channel estimation and the property of encoded multimedia data in Orthogonal Frequency Division Multiplexing (OFDM) systems. We observe that OFDM subchannels experience different average bit error rate (BER) due to channel estimation inaccuracy. The leakage effect in the fast Fourier transform (FFT)-based channel estimation method or the model mismatch in the polynomial-based channel estimation method results in a variation on the decoded BER across different OFDM subchannels. Thus, we are motivated to design the Priority Transmission (PT) scheme, which utilizes this BER variation across different OFDM subchannels and provides unequal error protection (UEP) for multimedia transmission. In addition, since OFDM has been adopted in many multimedia transmission standards, we compare the different channel estimation techniques, which were compared only for generic data transmission before, in the context of multimedia transmission with the PT scheme. In particular, we extend the polynomial-based channel estimation that was previously designed for a decision-directed scenario to a pilot-symbol-assisted (PSA) channel estimation scenario. Then, we investigate the channel estimation mean square error (MSE) and BER performance of individual OFDM subchannels for both the FFT-based and the polynomial-based channel estimation. Furthermore, we design the PT scheme that achieves significant gain in peak-signal-to-noise ratio (PSNR) of the reconstructed images for both channel estimation methods. Finally, we compare different OFDM channel estimation techniques for multimedia transmission. It is shown that for generic data transmission, the polynomial-based PSA channel estimation outperforms the FFT-based method in realistic channel conditions, and both types of channel estimation have similar performance when using the proposed PT scheme for multimedia transmission.Index Terms-Channel estimation, priority transmission, unequal error protection, leakage effect, wireless multimedia transmission.

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Pilot-Symbol-Aided Channel Estimation in Time and Frequency

Cited by 204 publications

References 10 publications

Introduction of Frequency-Domain Signal Processing to Broadband Single-Carrier Transmissions in a Wireless Channel

Introduction of Frequency-Domain Signal Processing to Broadband Single-Carrier Transmissions in a Wireless Channel

OFDM Channel Estimation Based on Impulse Response Decimation: Analysis and Novel Algorithms

Channel-aware priority transmission scheme using joint channel estimation and data loading for OFDM systems

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