Quality estimation of PSK modulated signals

Celandroni, Nedo; Ferro, Erina; Potortì, Francesco

doi:10.1109/35.601742

Cited by 28 publications

(16 citation statements)

References 10 publications

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“…While, due to space constraints, in-depth comparison vs. those estimators is impossible within the span of the current paper, we shall claim that the proposed estimator possesses several qualitative advantages which would indicate a favorable outcome to such a comparison. To this end, it shall be commented that of the estimators presented in [15]- [17]: • some will work only within certain receiver structures, • most require some form of symbol decisions to be made, • most need more than one sample/symbol, and (most importantly) • none of those methods seem to have a hardware implementation nearly as compact as the one suggested in this paper.…”

Section: Graphical Exhibition Of Resultsmentioning

confidence: 99%

“…Other SNR estimators have been suggested in [15], [16], and [17]. In theory, these could be applied to the pseudo-coherent constellation n v in order to produce an SNR estimate.…”

Section: Graphical Exhibition Of Resultsmentioning

confidence: 99%

“…First, consider the case of unknown data being transmitted. The only way by which an SER estimate can be obtained from unknown data is by obtaining an error rate estimate from a code-decode process [15]. This means that one must first code the transmitted data at the transmitter and then decode it at the receiver (e.g., using block codes or convolution codes), and that in order to obtain an error rate estimate the receiver would compare the decoded data stream to the input data stream, hence arriving at an error rate estimate.…”

Section: Graphical Exhibition Of Resultsmentioning

confidence: 99%

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A Real-Time SNR Estimator for D-MPSK over Frequency-Flat Slow Fading AWGN Channels

Linn

2006

2006 IEEE Sarnoff Symposium

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-We present a channel SNR (Signal-to-Noise Ratio) estimator for D-MPSK (Differential M-ary Phase Shift Keying) in AWGN (Additive White Gaussian Noise). The estimator is shown to have the following advantages: (1) the estimator has a compact fixed-point hardware implementation; (2) it requires only 1 sample/symbol; (3) accurate estimates can be generated in real-time; (4) the estimator is resistant to imperfections in the AGC (Automatic Gain Control) circuit. We investigate the proposed estimator theoretically and through simulations. General formulas are developed for SNR estimation in the presence of frequency-flat slow fading, and specific results are presented for Nakagami-m fading. The proposed estimator is then compared to other SNR estimators, and it is shown that the proposed method requires less hardware resources while at the same time providing superior performance. Finally, we briefly consider application of the proposed SNR estimator to SNR estimation in coherent M-PSK receivers when carrier synchronization has not been achieved.

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Section: Graphical Exhibition Of Resultsmentioning

confidence: 99%

“…Other SNR estimators have been suggested in [15], [16], and [17]. In theory, these could be applied to the pseudo-coherent constellation n v in order to produce an SNR estimate.…”

Section: Graphical Exhibition Of Resultsmentioning

confidence: 99%

Section: Graphical Exhibition Of Resultsmentioning

confidence: 99%

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A Real-Time SNR Estimator for D-MPSK over Frequency-Flat Slow Fading AWGN Channels

Linn

2006

2006 IEEE Sarnoff Symposium

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“…The methods to estimate the signal degradation reported in [14][15][16]26] are based on measurements made either on the bit error rate or on pseudo-error statistics. The hard or soft decision levels of the demodulated data bits are inspected to obtain a measure of signal quality, usually the value of E b /N o .…”

Section: Optimising Measurement Times For Fading Estimationmentioning

confidence: 99%

Modeling Ka-band scintillation as a fractal process

Celandroni

Potortì²

1999

IEEE J. Select. Areas Commun.

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We propose a model that describes the signal fading process due to scintillation in the presence of rain. We analyzed a data set of up-link (30 GHz) and down-link (20 GHz) attenuation values averaged over 1 second intervals. The data are samples relative to 10 significant events, for a total of 180,000 s, recorded at the Spino d'Adda (North of Italy) station using the Olympus satellite.Our analysis is based on the fact that the plot of attenuation versus time recalls the behaviour of a self-similar process. We then make various considerations and propose a fractional Brownian motion model for the scintillation process. We describe the model in detail, with pictures showing the apparent self-similarity of the measured data. We then show that the Hurst parameter of the process is a simple function of the rain fade. We describe a method for producing random data that interpolate the measured samples, while preserving some of their interesting statistical properties. This method can be used for simulating fade countermeasure systems.As a possible application of the model, we show how to optimise fade measurement times for fade countermeasure systems.Nedo Celandroni, Francesco Potortì: Modeling Ka band scintillation as a fractal process

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“…We modified the "method of the mean" [20] to estimate the SNR of received symbols in the M-ary PSK system [18] 1)…”

Section: A Proposed Control Algorithmsmentioning

confidence: 99%

Rain Attenuation and Doppler Shift Compensation for Satellite Communications

Kim¹,

Lim²,

Choi³

et al. 2002

ETRI J

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structure and the ability to effectively compensate for rain attenuation and the Doppler shift.The non-geostationary satellite channel for high speed communications cannot be considered an additive white Gaussian noise (AWGN) channel because of signal fading due to rain and the Doppler shift on the channel. For these reasons, we developed our own rain attenuation model with which we can synthesize the dynamic characteristics of rain attenuation. Carrier offset induced by the Doppler shift is also modeled by the orbit constellation parameters of a non-geostationary orbit satellite system.A simple and efficient estimation and prediction algorithm for channel conditions was required for allocating suitable transmission schemes at each sampling time. We developed various control algorithms and estimated their performance using the rain attenuation model. This paper proposes an efficient transmission system which can be adaptively applied in rain attenuation situations. Our system uses a block turbo code with an M-ary phase shift keying (PSK) strategy and for Doppler shift compensation, a 2-dimensional search algorithm which uses fast Fourier transform (FFT). Because of the successful development of code division multiple access (CDMA) technology for terrestrial mobile communications [3], application of CDMA to satellite communication is now being attempted. We developed a CDMA-based Doppler shift compensation technique to conform to this technological trend.In section II, we briefly present a simulation modeling technique for rain attenuation and the Doppler shift on the satellite communication channel. Section III describes the adaptive transmission scheme and the Doppler shift compensation method, and demonstrates simulation results using our own developed simulation software (S/W) packages. Section IV introduces a hardware (H/W) emulation board with an adaptive rain attenuation compensation algorithm. Finally, conclusions are drawn in section V. II. CHANNEL MODEL 1. Rain Attenuation ModelWe previously developed a rain attenuation model with which we can synthesize time-varying rain attenuation for any given time interval at Ku and Ka frequency bands [4]. This was necessary so that we could estimate the performance of the proposed adaptive compensation algorithm.Several papers have presented techniques on dynamic rain attenuation modeling [5]- [7]. Because Korea experiences heavy rain during a short period, it was difficult to synthesize rain attenuation. Therefore, we believed it necessary to develop a rain attenuation model which could synthesize typical Korean rain attenuation dynamics. The rain attenuation model we developed used measured attenuation data from the 12.25 GHz beacon signal of Koreasat 2 for two years; an example is shown in Fig. 1. Motivated by the fact that rain attenuation is a Markov process, a Markov chain [8] was used to model the rain attenuation process. We assumed that a rain event could be characterized by a 4-state Markov-chain. That is, a rain event consists of a beginning, a fading, ...

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Quality estimation of PSK modulated signals

Cited by 28 publications

References 10 publications

A Real-Time SNR Estimator for D-MPSK over Frequency-Flat Slow Fading AWGN Channels

A Real-Time SNR Estimator for D-MPSK over Frequency-Flat Slow Fading AWGN Channels

Modeling Ka-band scintillation as a fractal process

Rain Attenuation and Doppler Shift Compensation for Satellite Communications

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