Low-complexity architecture of carrier frequency offset estimation and compensation for body area network systems

Lin, Kuang-Hao; Chiu, Wei‐Hao; Tseng, Jan-Dong

doi:10.1016/j.camwa.2012.03.085

Cited by 9 publications

(19 citation statements)

References 18 publications

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“…We can observe from Fig. 5 that the performances of the simplified estimator in (17) and (20) are comparable to that of the full estimator. Actually, according to the performance requirements in different application, we can set appropriate number of the preamble, which provides much higher degree of freedom.…”

Section: A Performance Effect Of the Preamble Number J1mentioning

confidence: 83%

“…Then, with trigonometric approximation sin −1 x ≈ x and substituting (19) into (18), another simplified estimatorφ can be obtained as given by (20).…”

Section: Simplified Estimator With Sin −1 X Formmentioning

confidence: 99%

“…After that, with the simplified estimator in (17), (20) and (22), the CFO of the chip sampling value r m,k in (1) can be compensated by r m,k = r m,k e −jk ϕ .…”

Section: Simplified Estimator With Sin −1 X Formmentioning

confidence: 99%

“…Optimal coherent scheme Optimal noncoherent scheme Conventional noncoherent scheme [19] Coherent detection-based scheme [19] Proposed with full estimator in (15) Proposed with simplified estimator in (17) Proposed with simplified estimator in (20) (b) This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication.…”

Section: Permentioning

confidence: 99%

“…Yet, this scheme still has high complexity, which is mainly because of the multiplication and trigonometric operations (i.e., sine and cosine). Furthermore, the receiver was synchronized by using cross-correlation and auto-correlation operation in [20], which is actually complicated and energy-consuming. Therefore, it is imperative to develop compatible and lowcomplexity CFO estimation schemes for O-QPSK noncoherent detection schemes in IEEE 802.15.4 WSNs.…”

Section: Introductionmentioning

confidence: 99%

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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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Section: A Performance Effect Of the Preamble Number J1mentioning

confidence: 83%

“…Then, with trigonometric approximation sin −1 x ≈ x and substituting (19) into (18), another simplified estimatorφ can be obtained as given by (20).…”

Section: Simplified Estimator With Sin −1 X Formmentioning

confidence: 99%

“…After that, with the simplified estimator in (17), (20) and (22), the CFO of the chip sampling value r m,k in (1) can be compensated by r m,k = r m,k e −jk ϕ .…”

Section: Simplified Estimator With Sin −1 X Formmentioning

confidence: 99%