Pilot-Symbol Assisted and Code-Aided Phase Error Estimation for High-Order QAM Transmission

Kamiya, Norifumi; Sasaki, Eisaku

doi:10.1109/tcomm.2013.090213.120763

Cited by 29 publications

(5 citation statements)

References 21 publications

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“…After the first demodulation and decoding step, parametric demodulation and soft-output LDPC decoding are iterated as depicted in the block diagram of Fig (14), the proposed hybrid iterative method of Fig. 1 with reducedcomplexity trellis at the first demodulation stage with the complexity reduction of Table I, and the competitor method of [3] with pilot rate 1/25 initialized by the unconstrained Wiener filter studied in [13]. The parameter of iterative demodulation and decoding of the proposed method and of [3] are reported in Table II.…”

Section: Simulation Resultsmentioning

confidence: 99%

“…Demodulation of signals affected by the phase noise is a classical and hot topic in the context of point-to-point radio backhauling systems [2], [3] and coherent optical systems [4]- [7]. In these systems, coded constellations with high spectral efficiency are adopted, and the performance of demodulation in the presence of phase noise becomes one of the major issues in the rush to higher and higher spectral efficiency.…”

Section: Introductionmentioning

confidence: 99%

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Bootstrapping Iterative Demodulation and Decoding Without Pilot Symbols

Pecorino

Mandelli

Barletta

et al. 2015

J. Lightwave Technol.

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Abstract-The iterative demodulation and decoding algorithm introduced in 2005 by Colavolpe, Barbieri, and Caire to cope with channels affected by phase noise needs pilot symbols to bootstrap. However, pilot symbols reduce the spectral efficiency of the system and, consequently, system's throughput. The aim of the paper is to show that trellis-based demodulation can be used to bootstrap the iterative process without the need of pilot symbols. Also, the complexity issue of trellis-based demodulation is addressed in the paper. The result is that the performance of iterative demodulation and decoding after the iterations is virtually unaffected by complexity reduction, provided that the reduced-complexity demodulator guarantees cycle-slip-free operation. From the numerical results presented in the paper we show that cycle-slip-free operation can be achieved with substantial complexity reduction also for phase noise associated with linewidths of practical interest.

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Section: Simulation Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Bootstrapping Iterative Demodulation and Decoding Without Pilot Symbols

Pecorino

Mandelli

Barletta

et al. 2015

J. Lightwave Technol.

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“…The optimal filter is derived by minimizing the MSE between the carrier phase and the recovered phase. Furthermore, reference [75] proposes a PN estimation and compensation scheme for low-density paritycheck coded M-QAM transmission systems over AWGN channels. Similar to [74], equally-spaced known pilot symbols are deployed.…”

Section: Estimation and Compensationmentioning

confidence: 99%

RF Impairments in Wireless Transceivers: Phase Noise, CFO, and IQ Imbalance – A Survey

Mohammadian

Tellambura

2021

IEEE Access

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Wireless transceivers for mass-market applications must be cost effective. We may achieve this goal by deploying non-ideal low-cost radio frequency (RF) analog components. However, their imperfections may result in RF impairments, including phase noise (PN), carrier frequency offset (CFO), and in-phase (I) and quadrature-phase (Q) imbalance. These impairments introduce in-band and out-of-band interference terms and degrade the performance of wireless systems. In this survey, we present RF-impairment signal models and discuss their impacts. Moreover, we review RF-impairment estimation and compensation in singlecarrier (SC) and multicarrier systems, especially orthogonal frequency division multiplexing (OFDM). Furthermore, we discuss the effects of the RF impairments in already-established wireless technologies, e.g., multiple-input multiple-output (MIMO), massive MIMO, full-duplex, and millimeter-wave communications and review existing estimation and compensation algorithms. Finally, future research directions investigate the RF impairments in emerging technologies, including cell-free massive MIMO communications, nonorthogonal multicarrier systems, non-orthogonal multiple access (NOMA), ambient backscatter communications, and intelligent reflecting surface (IRS)-assisted communications. Furthermore, we discuss artificial intelligence (AI) approaches for developing estimation and compensation algorithms for RF impairments.

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“…with some proper function f (•) modelling this approximation. Following [46], it holds that for any α ∈ {0, 2π}, β ∈ R, and n ∼ CN 0, σ 2 n , an estimate α can be well approximated as α = arg βe jα + n ≈ α + n α (53)…”

Section: Appendix a Derivation Of Signaling Model For Llr Calculationmentioning

confidence: 99%

Impact of a Carrier Frequency Offset on Unique Word OFDM

Hofbauer

Haselmayr

Bernhard

et al. 2020

2020 IEEE 31st Annual International Symposium on Personal, Indoor and Mobile Radio Communications

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Word-orthogonal frequency division multiplexing (UW-OFDM) is known to provide various performance benefits over conventional cyclic prefix (CP) based OFDM. Most important, UW-OFDM features excellent spectral sidelobe suppression properties and an outstanding bit error ratio (BER) performance. Carrier frequency offset (CFO) induced impairments denote a challenging task for OFDM systems of any kind. In this work we investigate the CFO effects on UW-OFDM and compare it to conventional multi-carrier and single-carrier systems. Different CFO compensation approaches with different computational complexity are considered throughout this work and assessed against each other. A mean squared error analysis carried out after data estimation reveals a significant higher robustness of UW-OFDM over CP-OFDM against CFO effects. Additionally, the conducted BER simulations generally support this conclusion for various scenarios, ranging from uncoded to coded transmission in a frequency selective environment.

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Pilot-Symbol Assisted and Code-Aided Phase Error Estimation for High-Order QAM Transmission

Cited by 29 publications

References 21 publications

Bootstrapping Iterative Demodulation and Decoding Without Pilot Symbols

Bootstrapping Iterative Demodulation and Decoding Without Pilot Symbols

RF Impairments in Wireless Transceivers: Phase Noise, CFO, and IQ Imbalance – A Survey

Impact of a Carrier Frequency Offset on Unique Word OFDM

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