Interpolation in digital modems. II. Implementation and performance

Erup, L.; Gardner, F. F.; Harris, R. Adron

doi:10.1109/26.231921

Cited by 510 publications

(202 citation statements)

References 7 publications

Supporting

Mentioning

193

Contrasting

Unclassified

Order By: Relevance

“…By interpolants, it is understood the samples y [k]. In this section, the mathematical model for digital interpolation given in [2], [3] is reviewed.…”

Section: Principle Of Resamplingmentioning

confidence: 99%

Asynchronous Sampling Rate Conversions in Digital Communications Systems

Duong

Pelet²,

Salt

et al. 2011

REV-JEC

View full text Add to dashboard Cite

Abstract-The problem of resampling digital signals at an output sampling rate that is incommensurate with the input sampling rate is the topic of this paper. This problem is often encountered in practice, as for example in the multiplexing of video signals from different sources for the purpose of distribution. There are basically two approaches to resample the signals. Both approaches are thoroughly described and practical circuits for hardware implementation are provided. A comparison of the two circuits presented in the paper shows that one circuit requires a division to compute the new sampling times. This time scaling operation adds complexity to the implementation with no performance advantage over the other circuit, and makes the "division free" circuit the preferred one for resampling.

show abstract

“…By interpolants, it is understood the samples y [k]. In this section, the mathematical model for digital interpolation given in [2], [3] is reviewed.…”

Section: Principle Of Resamplingmentioning

confidence: 99%

Asynchronous Sampling Rate Conversions in Digital Communications Systems

Duong

Pelet²,

Salt

et al. 2011

REV-JEC

View full text Add to dashboard Cite

show abstract

“…As observed in [20], the timing discriminator performance is invariant to carrier phase, so that timing information can be extracted without prior acquisition of the carrier recovery loop. As for the digital timing interpolator, we employed the cubic interpolator described in [21] and [22].…”

Section: A Timing Recoverymentioning

confidence: 99%

Performance analysis of turbo-coded APSK modulations over nonlinear satellite channels

Gaudenzi

Guillen

Martinez

2006

IEEE Trans. Wireless Commun.

159

117

View full text Add to dashboard Cite

Abstract-This paper investigates the performance of M -ary Amplitude-Phase Shift Keying (APSK) digital modulation over typical nonlinear satellite channels. The effect of the satellite nonlinearity is studied, and distortion pre-and post-compensation techniques for coded APSK are presented. Moreover, clock timing, signal amplitude and carrier phase recovery schemes are discussed. For the latter, a new class of non turbo decoder-aided closed-loop phase synchronizers featuring good performance and low complexity is studied. Finally, an end-to-end coded APSK system simulator inclusive of the satellite channel model and synchronization sub-systems is discussed and its performance compared to standard trellis-coded QAM concatenated with Reed-Solomon codes, showing a remarkable gain in both power and spectral efficiency. Coded APSK, recently selected for the new standard -DVB-S2-for digital video broadcasting and interactive broadband satellite services [1], is shown to represent a power-and spectral-efficient solution for satellite nonlinear channels.

show abstract

“…Instead, what is typically done to achieve variable SRC is to model the continuous-time input as coming from a different kernel than the sinc function [3], [4], [5]. Specifically, the input analog signal ( ) is modeled using (1) as follows.…”

Section: B Notationsmentioning

confidence: 99%

“…Though this model has received much attention in the literature (i.e., see [3], [4], [5]), most of the consideration has consisted of time domain analysis. With the derived…”

Section: Introductionmentioning

confidence: 99%

Spectral Properties and Interpolation Error Analysis for Variable Sample Rate Conversion Systems

Tkacenko

2007

IEEE GLOBECOM 2007-2007 IEEE Global Telecommunications Conference

View full text Add to dashboard Cite

Abstract-The problem of variable sample rate conversion (SRC) has received much attention on account of its applications in software defined radios (SDRs) that must support a wide variety of data rates. In this paper, we investigate the spectral properties of variable SRC and focus on the interpolation error obtained using any two interpolation kernels. We show that SRC is a generalization of decimation for both rational and irrational conversion ratios. In addition, a frequency domain expression for the mean-squared interpolation error is derived and simplified. Simulations presented show the degradation effects of using practical piecewise polynomial based interpolants as opposed to the underlying bandlimited sinc function for several input signals.

show abstract

Interpolation in digital modems. II. Implementation and performance

Cited by 510 publications

References 7 publications

Asynchronous Sampling Rate Conversions in Digital Communications Systems

Asynchronous Sampling Rate Conversions in Digital Communications Systems

Performance analysis of turbo-coded APSK modulations over nonlinear satellite channels

Spectral Properties and Interpolation Error Analysis for Variable Sample Rate Conversion Systems

Contact Info

Product

Resources

About