A Successive Decoding Strategy for Channels With Memory

Li, Teng; Collins, O.M.

doi:10.1109/tit.2006.889013

Cited by 43 publications

(57 citation statements)

References 42 publications

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“…The main novelty of our proposal is the application of the principle of interleaving and staged decoding to the phase noise channel, where the individual stage consists of demodulation and decoding. Compared to the previous literature on interleaving and staged decoding, specifically references [14], [15], [16], [17], other minor novelties that we can claim are the following.…”

Section: Introductionmentioning

confidence: 93%

“…The use of interleaving and staged decoding aided by past decisions has been proposed in [14] and expanded in [15] for the InterSymbol Interference (ISI) AWGN channel, where the generic stage consists of equalization and decoding. The general principle has then found application to a variety of channels with memory [16], [17].…”

Section: Introductionmentioning

confidence: 99%

“…• While in [14] and [16] only one code is considered, here the use of a set of different channel codes is proposed.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Two-stage demodulation and decoding for the phase noise channel

Barletta

Magarini

Spalvieri

2012

2012 7th International Conference on Telecommunication Systems, Services, and Applications (TSSA)

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Abstract-Coding for the phase noise channel is investigated in the paper. Specifically, Wiener's phase noise, which induces memory in the channel, is considered. A general coding principle for channels with memory is that of interleaving two or more codes. The interleaved codes are decoded in sequence, using past decisions to help future decoding. The paper proposes a method based on this principle, and shows its benefits through numerical results obtained by computer simulation. Analysis of the channel capacity given by the proposed method is also worked out in the paper.

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Section: Introductionmentioning

confidence: 93%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Two-stage demodulation and decoding for the phase noise channel

Barletta

Magarini

Spalvieri

2012

2012 7th International Conference on Telecommunication Systems, Services, and Applications (TSSA)

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“…In order to obtain a lower bound for the constrained capacity, a successive decoding strategy has been considered in [52], [53]. In this strategy, channel estimation and MUD in successive decoding are replaced by suboptimal ones that allow us to evaluate the performance analytically.…”

Section: A Joint Ce-mudd Based On Lmmse Channel Estimationmentioning

confidence: 99%

Large-System Analysis of Joint Channel and Data Estimation for MIMO DS-CDMA Systems

Takeuchi¹,

Vehkaperä²,

Tanaka³

et al. 2012

IEEE Trans. Inform. Theory

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This paper presents a large-system analysis of the performance of joint channel estimation, multiuser detection, and per-user decoding (CE-MUDD) for randomly-spread multiple-input multiple-output (MIMO) direct-sequence codedivision multiple-access (DS-CDMA) systems. A suboptimal receiver based on successive decoding in conjunction with linear minimum mean-squared error (LMMSE) channel estimation is investigated. The replica method, developed in statistical mechanics, is used to evaluate the performance in the large-system limit, where the number of users and the spreading factor tend to infinity while their ratio and the number of transmit and receive antennas are kept constant. The performance of the joint CE-MUDD based on LMMSE channel estimation is compared to the spectral efficiencies of several receivers based on one-shot LMMSE channel estimation, in which the decoded data symbols are not utilized to refine the initial channel estimates. The results imply that the use of joint CE-MUDD significantly reduces rate loss due to transmission of pilot signals, especially for multiple-antenna systems. As a result, joint CE-MUDD can provide significant performance gains, compared to the receivers based on one-shot channel estimation.

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“…Although there has been prior work on receiver design for joint processing (e.g., [6]- [8]), to the best of our knowledge there is not yet a general understanding of the conditions (in terms of signal-to-noise ratio, fading rate, and antenna configurations) in which joint processing provides a substantial improvement. Given that joint processing is more complex than separate processing, such a quantification appears very useful.…”

Section: Introductionmentioning

confidence: 99%

What is the value of joint processing of pilots and data in block-fading channels?

Jindal

Lozano

Marzetta³

2009

2009 IEEE International Symposium on Information Theory

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Abstract-The spectral efficiency achievable with joint processing of pilot and data symbol observations is compared with that achievable through the conventional (separate) approach of first estimating the channel on the basis of the pilot symbols alone, and subsequently detecting the data symbols. Studied on the basis of a mutual information lower bound, joint processing is found to provide a non-negligible advantage relative to separate processing, particularly for fast fading. It is shown that, regardless of the fading rate, only a very small number of pilot symbols (at most one per transmit antenna and per channel coherence interval) should be transmitted if joint processing is allowed.

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A Successive Decoding Strategy for Channels With Memory

Cited by 43 publications

References 42 publications

Two-stage demodulation and decoding for the phase noise channel

Two-stage demodulation and decoding for the phase noise channel

Large-System Analysis of Joint Channel and Data Estimation for MIMO DS-CDMA Systems

What is the value of joint processing of pilots and data in block-fading channels?

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