Correlation based phase noise compensation in 60 GHz wireless systems

Preyss, Nicholas; Pantic, Radoslav D.; Burg, Andreas

doi:10.1109/eeei.2014.7005755

Cited by 3 publications

(5 citation statements)

References 11 publications

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“…Substituting (20) and (21) into (19) and taking the standard step in the MAP problem solution, one can use the log function of the PDF in the maximization, since it is a monotonic function of its argument, to obtain F(Δϕ):…”

Section: Linear Phase Trend Compensation In Time Domainmentioning

confidence: 99%

“…Figure 6 shows performance comparison of the proposed compensation method based on MAP estimation to the reference method based on the LS estimation in the frequency flat AWGN channel for a 2.16 GHz bandwidth. The reference method combines three LS algorithms known in the literature, including CPE estimation defined in [3], estimation of the average linear phase trend on the OFDM symbol duration proposed in [19], and correction filter estimation and deconvolution described in [14] or [16]. The green curves correspond to the MAP estimation and magenta curves correspond to the LS estimation approach.…”

Section: Frequency Flat Channelmentioning

confidence: 99%

“…The reference method considered in Sec. 5.1 and 5.2 for performance evaluation and combining three LS algorithms known in the literature, including CPE estimation defined in [3], estimation of the average linear phase trend on the OFDM symbol duration proposed in [19], and correction filter estimation and deconvolution described in [14], has identical correction complexity as the MAP algorithms proposed in this paper. However, for filter estimation, it requires 2 ABSs and 2 RDIVs less than the proposed MAP algorithms.…”

Section: Complexity Analysismentioning

confidence: 99%

“…In reference [19], the authors propose a low complexity algorithm for PN impact compensation based computing the autocorrelation over successive repetitions of the Guard Intervals (GIs) for the Single Carrier (SC) waveform transmission. An efficient all-digital hardware architecture implementing the proposed algorithm is presented.…”

Section: Introductionmentioning

confidence: 99%

“…The estimation performed using GI samples is more accurate since it uses more samples in the estimation compared to the pilots based approach. Additionally, in contrast to [19], the proposed algorithm exploits the MAP criterion and uses a priori knowledge to enhance estimation quality.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Method for Phase Noise Impact Compensation in 60 GHz OFDM Receivers

Lomayev¹,

Kravtsov²,

Genossar³

et al. 2020

RADIOENGINEERING

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This paper presents a method for phase noise impact compensation in 60 GHz OFDM receivers and provides the results of performance evaluation using OFDM PHY parameters defined in the IEEE 802.11ay standard. It is shown that the phase noise in 60 GHz band has a critical impact on the OFDM performance for high data rate transmission employing high order modulation constellations. The proposed compensation method combines time domain algorithm predicting the linear average phase trend on the OFDM symbol duration and estimation in frequency domain of phase noise spectrum realization and convolution with correction filter response. Both algorithms use Maximum A Posteriori Probability (MAP) estimation approach to find the optimal solution and are applied successively. The proposed algorithms have moderate implementation complexity which is especially important for high speed 11ay hardware modem architecture. The performance of the proposed algorithms is evaluated in the frequency flat and frequency selective channels with phase noise model adopted in the IEEE 802.11ay.

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Section: Linear Phase Trend Compensation In Time Domainmentioning

confidence: 99%