A polar-based demapper of 8PSK demodulation for DVB-S2 systems

Barré, Anthony; Boutillon, Emmanuel; Bias, Neysser; Díaz, Daniel

doi:10.1109/sips.2013.6674473

Cited by 6 publications

(4 citation statements)

References 6 publications

(4 reference statements)

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“…The piecewise linear approximations of the LLR of the log 2 ( ) bits related to the amplitude level present similar expressions to the ones of a QAM constellation, see [36]. While for the log 2 (M/ ) bits encoded on the phase, approximations are similar to a PSK [37].…”

Section: Fig 7 Binary Labeling Of a 16-pqam(4)mentioning

confidence: 75%

“…widely considered for QAM demapping -can be implemented after the Cartesian-to-polar transform. In addition, the binary labeling and linear structure of the Polar-QAM enables efficient approximations of the bit LLR values with piecewise linear functions, similar to the ones presented in [36] and in [37], and therefore leads to a significant complexity reduction of the decoder. This is a important benefit of using the PQAM and the polar metric.…”

Section: ) Complexity Of Implementationmentioning

confidence: 99%

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Design of Digital Communications for Strong Phase Noise Channels

Bicaïs

Doré

2020

IEEE Open J. Veh. Technol.

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To meet the requirements of beyond 5G networks, the significant amount of unused spectrum in sub-TeraHertz frequencies is contemplated for high-rate wireless communications. Yet, the performance of sub-TeraHertz systems is severely degraded by strong oscillator phase noise. We investigate in this paper the design of digital communications robust to phase noise. This problem is addressed in three steps: the characterization of the phase noise channel, the design of the optimum receiver, and the optimization of the modulation scheme. This paper proposes a joint performance and implementation optimization. First, we address the design of the demodulation scheme for phase noise channels and propose the polar metric, a soft-decision rule for symbol detection. It is shown that performance gains are achieved for coded and uncoded systems with valuable complexity reductions of the receiver. Second, we investigate the optimization of the modulation scheme for phase noise. We demonstrate that using a constellation defined upon a lattice in the amplitude-phase domain leads to significant performance gains and a low-complexity implementation. Thereupon, we propose the Polar-QAM scheme with efficient binary labeling and demodulation. Numerical simulation results show that the proposed modulation and demodulation schemes offer valuable solutions to achieve high-rate communications on systems strongly impaired by phase noise.

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Section: Fig 7 Binary Labeling Of a 16-pqam(4)mentioning

confidence: 75%

Section: ) Complexity Of Implementationmentioning

confidence: 99%

Design of Digital Communications for Strong Phase Noise Channels

Bicaïs

Doré

2020

IEEE Open J. Veh. Technol.

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“…The main characteristic of circular schemes is the equal phase distribution, and constant amplitude of constellation symbols [49]. This sort of constellation is called phase-shift keying (PSK), and the information bits are conveyed in the phase of the transmitted signal.…”

Section: ) Circular Constellationmentioning

confidence: 99%

Constellation Design for Future Communication Systems: A Comprehensive Survey

Barrueco¹,

Montalbán

Iradier

et al. 2021

IEEE Access

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The choice of modulation schemes is a fundamental building block of wireless communication systems. As a key component of physical layer design, they critically impact the expected communication capacity and wireless signal robustness. Their design is also critical for the successful rollout of wireless standards that require a compromise between performance, efficiency, latency, and hardware requirements. This paper presents a survey of constellation design strategies and associated outcomes for wireless communication systems. The survey discusses their performance and complexity to address the need for some desirable properties, including consistency, channel capacity, system performance, required demapping architecture, flexibility, and independence. Existing approaches for constellation designs are investigated using appropriate metrics and categorized based on their theoretical algorithm design. Next, their application to different communication standards is analyzed in context, aiming at distilling general guidelines applicable to the wireless building block design. Finally, the survey provides a discussion on design directions for future communication system standardization processes.INDEX TERMS Bandwidth, communication waveforms, mobile communications, spectral efficiency, wireless communications.

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“…The main task of calculating the optimal bit metrics that maximizes the GMI is to calculate the LLR for each bit. Several low-complexity approximations and their implementations have been discussed in [4,9,21]. For 8PSK modulation, we propose a simple algorithm that calculates the max-log approximated LLRs as defined in (4.10).…”

Section: Firmware Implementations Of 8psk Demodulation Algorithmsmentioning

confidence: 99%

Finding the Optimal Demodulator Under Implementation Constraints

Yu¹

2015

Preprint

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A polar-based demapper of 8PSK demodulation for DVB-S2 systems

Cited by 6 publications

References 6 publications

Design of Digital Communications for Strong Phase Noise Channels

Design of Digital Communications for Strong Phase Noise Channels

Constellation Design for Future Communication Systems: A Comprehensive Survey

Finding the Optimal Demodulator Under Implementation Constraints

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