IEEE Global Telecommunications Conference and Exhibition. Communications for the Information Age
DOI: 10.1109/glocom.1988.26069
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Comparison of carrier recovery methods for narrow-band polyphase shift keyed signals

Abstract: This paper is concerned with the problem of carrier-phase recovey in narrow-band Wary phase shift keying. A number of methods proposed in the literature are analysed and their relative merits are pointed out. The effect of trellis coding on channel symbols is also discussed. The various methods are contrasted using the phase errcr variance of the recovered carrier as performance measure. The effect of timing errors is also shown for ciock-aided schemes.

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Cited by 14 publications
(17 citation statements)
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“…Perfect timing and frame synchronization is assumed, which can be achieved by standard frame synchronization algorithms using a timing feedback loop [18]. Note that Assumptions A3, A4, and A5 are in line with previous phase noise estimation algorithms in SISO and MIMO systems in [3], [13], [17], [18], [52]- [54]. Moreover, Assumption A3 is reasonable in many practical scenarios, e.g., in LoS MIMO systems applied to microwave backhaul [47] and satellite communication links [46], where the channel gains vary much more slowly than the phase noise process.…”
Section: System Modelmentioning
confidence: 97%
See 1 more Smart Citation
“…Perfect timing and frame synchronization is assumed, which can be achieved by standard frame synchronization algorithms using a timing feedback loop [18]. Note that Assumptions A3, A4, and A5 are in line with previous phase noise estimation algorithms in SISO and MIMO systems in [3], [13], [17], [18], [52]- [54]. Moreover, Assumption A3 is reasonable in many practical scenarios, e.g., in LoS MIMO systems applied to microwave backhaul [47] and satellite communication links [46], where the channel gains vary much more slowly than the phase noise process.…”
Section: System Modelmentioning
confidence: 97%
“…Moreover, Assumption A3 is reasonable in many practical scenarios, e.g., in LoS MIMO systems applied to microwave backhaul [47] and satellite communication links [46], where the channel gains vary much more slowly than the phase noise process. More importantly, unlike the results in [3], [13], [17], [18], [52]- [54], which assume that the channel gains are estimated and equalized before phase noise estimation, in this paper we jointly estimate the MIMO channel gains and phase noise parameters. Note that even though the analyses in this paper are based on the assumption of quasi-static fading channels, in Section V, it is demonstrated that by selecting an appropriate synchronization overhead, the proposed estimators can accurately track MIMO channels and phase noise processes in the presence of time-varying channels with different Doppler rates.…”
Section: System Modelmentioning
confidence: 99%
“…In [1]- [4], the estimation of constant phase offset using decision-directed (DD) 2 and non-data-aided (NDA) methods are analyzed in detail. However, very little information on the estimation of time-varying phase noise is presented, and as shown in this paper the proposed estimators' performance deteriorate as the variance of the phase noise process increases.…”
Section: A Motivation and Literature Surveymentioning
confidence: 99%
“…Since phase noise adversely affects the performance of communication systems, during the last two decades, there have been numerous studies on the estimation and compensation of phase noise in communication systems, e.g., [1]- [8].…”
Section: Introductionmentioning
confidence: 99%
“…Phase error correction in M-PSK receivers is usually done via either feedforward phase estimation [1][2][3] or through feedback [3][4][5]. These methods are compared and contrasted, for example, in [6 p. 75-78].…”
Section: Introductionmentioning
confidence: 99%