A PSSS Approach for Wireless Industrial Communication Applying Iterative Symbol Detection

Underberg, Lisa; Croonenbroeck, Ramona; Wulf, Armin; Endemann, Wolfgang; Kays, Rüdiger

doi:10.1109/tii.2017.2779471

Cited by 18 publications

(16 citation statements)

References 9 publications

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“…In contrast to the solutions shown in [4], [15], [18], our method does not introduce any EbN0 penalty for BER performance. The resulting sequences achieve the highest BER performance and approach standard modulation schemes.…”

Section: Introductionmentioning

confidence: 58%

“…5 depicts BER performance with 2 b/s/Hz spectral efficiency for the presented system. All curves are generated by typically used m-sequences [5]- [7], [16]- [18], [23]. PSSS, as defined in ( 1)-( 8) with bipolar m-sequences used as encoding and decoding spreading codes (blue curve in Fig.…”

Section: B System Model With 2 B/s/hz Spectral Efficiencymentioning

confidence: 99%

“…In the next subsection, we prove that autocorrelation sidelobes cause the poor BER performance. To the best of our knowledge, only three publications address and solve this issue [15], [16], [18]. The authors in [18] propose an iterative symbol detection algorithm in the receiver.…”

Section: B System Model With 2 B/s/hz Spectral Efficiencymentioning

confidence: 99%

“…To the best of our knowledge, only three publications address and solve this issue [15], [16], [18]. The authors in [18] propose an iterative symbol detection algorithm in the receiver. This solution causes bit detection dependencies, reflecting in hardware complexity, especially when analog correlators and integrators at ≥100 Gbps are targeted [20], [22].…”

Section: B System Model With 2 B/s/hz Spectral Efficiencymentioning

confidence: 99%

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Real-Valued Spreading Sequences for PSSS Based High-Speed Wireless Systems

et al. 2022

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In past years, Parallel Sequence Spread Spectrum (PSSS) has attracted significant attention as a modulation technique for wireless communication systems targeting data rates of 100 Gb/s and beyond. PSSS allows designing high-speed baseband processors, which can be partially implemented in the analog domain. It uses multiple analog-to-digital converters (ADCs) to sample the received baseband signal in parallel, significantly relaxing the sampling rate and ADC complexity. However, due to the sidelobe effects of bipolar m-sequences, PSSS shows lower performance than standard digital modulation schemes. This paper proposes real-valued PSSS spreading sequences with attenuated autocorrelation sidelobes. Such sequences show excellent bit error rate (BER) performance. Moreover, our sequences do not have length restrictions of 2 m -1, like in the case of m-sequences, and reduce the chip area required to implement PSSS transceiver. The proposed sequences also reduce the peak-to-average power ratio (PAPR) of PSSS.INDEX TERMS PSSS, high-speed wireless communications, baseband, genetic algorithm, spreading sequences, sidelobe mitigation. FIGURE 1. Average millimeter-and THz-wave atmospheric absorption. Figure retrieved from [1].

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Section: Introductionmentioning

confidence: 58%

Section: B System Model With 2 B/s/hz Spectral Efficiencymentioning

confidence: 99%

Section: B System Model With 2 B/s/hz Spectral Efficiencymentioning

confidence: 99%

Section: B System Model With 2 B/s/hz Spectral Efficiencymentioning

confidence: 99%

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Real-Valued Spreading Sequences for PSSS Based High-Speed Wireless Systems

et al. 2022

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“…The reliability of WSNs is one of the most important factors, which may limit the application depth and width [7], [8]. Clearly, the detection performance of the receiver is closely related to the throughput and energy efficiency of the wireless sensor node, and even directly affects the transmission efficiency of the whole WSNs [9]- [12]. In this work, we investigate this issue from the perspective of receiver detection mechanism, which is extremely significant for academics and end-users as well.…”

Section: Introductionmentioning

confidence: 99%

Implementation-Friendly and Energy-Efficient Symbol-by-Symbol Detection Scheme for IEEE 802.15.4 O-QPSK Receivers

et al. 2020

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In this paper, the noncoherent detection scheme for the receiver in wireless sensor nodes is discussed. That is, an implementation-friendly and energy-efficient symbol-by-symbol detection scheme for IEEE 802.15.4 offset-quadrature phase shift keying (O-QPSK) receivers is investigated under both pure additive white Gaussian noise (AWGN) channel and fading channel. Specifically, the residual carrier frequency offset (CFO) of the chip sample is estimated and compensated with the aid of the preamble; then, the standard noncoherent detection scheme with perfectly known CFO is directly configured. The corresponding simulation results show that only 4 preamble symbols is sufficient for accurate CFO estimation. Compared with the conventional noncoherent detector, the average running time per data packet of our enhanced detector is only 0.17 times of the former; meanwhile, at the packet error rate of 1 × 10 −3 , our enhanced detector can obtain 2.2 dB gains in the (32, 4) direct sequence spread spectrum system. A more reasonable trade-off between complexity and reliability is thus achieved for energy-saving and maximum service life in wireless sensor networks (WSNs). INDEX TERMS Internet of things, IEEE 802.15.4 wireless sensor networks, offset QPSK, symbol-bysymbol detection.

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