Iterative Frequency-Domain Channel Estimation and Equalization for Single-Carrier Transmissions without Cyclic-Prefix

Liu, Hong; Schniter, Philip

doi:10.1109/ciss.2007.4298424

Cited by 11 publications

(34 citation statements)

References 20 publications

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“…7. Performance of the proposed approach and the approaches in [10] and [29]. The power loss of about 1 dB due to the use of the pilot signal is included in E b /N 0 .…”

Section: B Doubly Selective Channelsmentioning

confidence: 99%

“…The bidirectional trellis based approaches that carry out channel estimation and equalization simultaneously [30]- [32] deliver good performance, but their computational complexities are often intractable. In this paper, we follow the more practical framework of iterative joint channel estimation and detection discussed in [10]- [13], [28], and [29], in which the channel estimator is separated out from the equalizer. In [10]- [13], [28], and [29], various channel estimation approaches such as those based on minimum mean square error (MMSE), least squares (LS), recursive least squares (RLS) and Kalman ſltering (KF) have been studied.…”

Section: A Low-complexity Iterative Channel Estimation and Detection mentioning

confidence: 99%

“…In this paper, we follow the more practical framework of iterative joint channel estimation and detection discussed in [10]- [13], [28], and [29], in which the channel estimator is separated out from the equalizer. In [10]- [13], [28], and [29], various channel estimation approaches such as those based on minimum mean square error (MMSE), least squares (LS), recursive least squares (RLS) and Kalman ſltering (KF) have been studied. However, in those works, only a unidirectional recursion is involved in tracking the time-varying channels, and some of them have relatively high complexity.…”

Section: A Low-complexity Iterative Channel Estimation and Detection mentioning

confidence: 99%

“…Based on (28), (29) and the result of (12), the extrinsic LLRs for the entries in x k can be computed as…”

Section: B Segment-by-segment Equalization With Virtual Zeropaddingmentioning

confidence: 99%

“…We follow the framework of iterative channel estimation and detection [10]- [13], [28], [29], where the channel estimator is separated out from the equalizer. The iterative receiver is shown in the lower part of Fig.…”

Section: Receiver Structure For Iterative Channel Estimation Detementioning

confidence: 99%

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A Low-Complexity Iterative Channel Estimation and Detection Technique for Doubly Selective Channels

Guo

Ping

2008

IEEE GLOBECOM 2008 - 2008 IEEE Global Telecommunications Conference

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In this paper, we propose a low-complexity iterative joint channel estimation, detection and decoding technique for doubly selective channels. The key to the proposed technique is a segment-by-segment processing strategy under the assumption that the channel is approximately static within a short segment of a data block. Through a virtual zero-padding technique, the proposed segment-by-segment equalization approach inherits the low-complexity advantage of the conventional frequency domain equalization (FDE), but does not need the assistance of guard interval (for cyclic-prefixing or zero-padding), thereby avoiding the spectral and power overheads. Furthermore, we develop a low-complexity bidirectional channel estimator, where the Gaussian message passing (GMP) Abstract-In this paper, we propose a low-complexity iterative joint channel estimation, detection and decoding technique for doubly selective channels. The key to the proposed technique is a segment-by-segment processing strategy under the assumption that the channel is approximately static within a short segment of a data block. Through a virtual zero-padding technique, the proposed segment-by-segment equalization approach inherits the low-complexity advantage of the conventional frequency domain equalization (FDE), but does not need the assistance of guard interval (for cyclic-preſxing or zero-padding), thereby avoiding the spectral and power overheads. Furthermore, we develop a lowcomplexity bidirectional channel estimator, where the Gaussian message passing (GMP) technique is used to exploit the channel correlation information, and the intermediate channel estimation results in the iterative process are employed to perform intertap interference cancellation. Simulation results demonstrate the effectiveness of the proposed detection and channel estimation algorithms.

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“…7. Performance of the proposed approach and the approaches in [10] and [29]. The power loss of about 1 dB due to the use of the pilot signal is included in E b /N 0 .…”

Section: B Doubly Selective Channelsmentioning

confidence: 99%

Section: A Low-complexity Iterative Channel Estimation and Detection mentioning

confidence: 99%

Section: A Low-complexity Iterative Channel Estimation and Detection mentioning

confidence: 99%

“…Based on (28), (29) and the result of (12), the extrinsic LLRs for the entries in x k can be computed as…”

Section: B Segment-by-segment Equalization With Virtual Zeropaddingmentioning

confidence: 99%

Section: Receiver Structure For Iterative Channel Estimation Detementioning

confidence: 99%

See 3 more Smart Citations

A Low-Complexity Iterative Channel Estimation and Detection Technique for Doubly Selective Channels

Guo

Ping

2008

IEEE GLOBECOM 2008 - 2008 IEEE Global Telecommunications Conference

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Soft-In Soft-Out Detection Using Partial Gaussian Approximation

et al. 2014

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This paper concerns the soft-in soft-out detection in a coded communication system, where the transmitted symbols are discrete valued, and the exact a posteriori probability (APP) detection often involves prohibitive complexity. By using the properties of Gaussian functions, an approximate approach to the APP detection is devised with the idea that, in the computation of the APP of each symbol, the remaining symbols are distinguished based on their contributions to the APP of the concerned symbol, and the symbols with less contributions are approximated as (continuous) Gaussian variables [hence the name partial Gaussian approximation (PGA)] to reduce the computational complexity. The connection between the PGA detector and the reduced dimension maximum a posteriori detector (RDMAP) is investigated. It is shown that, PGA is equivalent to RDMAP, but it has a complexity much lower than that of RDMAP, i.e., PGA can be regarded as an efficient implementation of RDMAP. In addition, the application of PGA in intersymbol interference (ISI) channel equalization is also investigated. We show that PGA allows further significant complexity reduction by exploiting the circulant structure of the system transfer matrix, which makes PGA very attractive in handling severe ISI channels with large memory length.INDEX TERMS Soft-in soft-out detection, turbo equalization, Gaussian functions, LMMSE detection, RDMAP.

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Low-complexity frequency-domain turbo equalization for single-carrier transmissions over doubly-selective channels

Fang

Rugini

Leus

2009

2009 IEEE International Conference on Acoustics, Speech and Signal Processing

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Single-carrier transmissions with frequency-domain equalization have gained much interest due to their comparable complexity and performance to OFDM, which conversely suffers from a high peak-to-average power ratio. In this paper, we develop a new frequency-domain block turbo equalizer for single-carrier (SC) transmissions over doubly-selective channels. The main feature of the proposed equalizer is its low complexity, which is only linear in the block length. A comparison between SC and OFDM systems with channel coding in doubly-selective channels is also given.

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Iterative Frequency-Domain Channel Estimation and Equalization for Single-Carrier Transmissions without Cyclic-Prefix

Cited by 11 publications

References 20 publications

A Low-Complexity Iterative Channel Estimation and Detection Technique for Doubly Selective Channels

A Low-Complexity Iterative Channel Estimation and Detection Technique for Doubly Selective Channels

Soft-In Soft-Out Detection Using Partial Gaussian Approximation

Low-complexity frequency-domain turbo equalization for single-carrier transmissions over doubly-selective channels

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