Impact of SAW RF and IF filter characteristics on UMTS transceiver system performance

Pimingsdorfer, D.; Holm, A.; Adler, B.; Fischerauer, Gerhard; Thomas, R. L.; Springer, Andreas; Weigel, Robert

doi:10.1109/ultsym.1999.849420

Cited by 9 publications

(2 citation statements)

References 2 publications

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“…It is clear from Equation 5 that the level of error of the signal M (jω) can be analyzed using the characteristics of the filter H T otal (jω) . Here the EVM calculation from [9] is borrowed to evaluate the error caused by amplitude and phase fluctuations of H T otal (jω) . According to Equation 9, the EVM of the signal in Equation 5 can be evaluated using…”

Section: Frequency Error Due To Path Imbalancesmentioning

confidence: 99%

RMS frequency error performance and spurious signals in two-point modulators due to path imbalances

Selcuk¹,

Üçel²

2020

Turk J Elec Eng & Comp Sci

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In this study the authors introduce an analysis of rms frequency error performance and spurious signals generated by two-point modulators. The analysis is not limited to a constant delay and magnitude imbalance between modulation paths but allows frequency-dependent group delay and amplitude variations as well. Moreover, a discrete time phase frequency detector model is incorporated in Laplace domain analysis that takes into account the sampling nature of a phase-locked loop (PLL). Using the spectrum of pulse width modulated charge pump pulses, the spurious signals at the output of the PLL are evaluated. The proposed formulae are tested on a practical setup and quite accurate results are obtained.

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Section: Frequency Error Due To Path Imbalancesmentioning

confidence: 99%

RMS frequency error performance and spurious signals in two-point modulators due to path imbalances

Selcuk¹,

Üçel²

2020

Turk J Elec Eng & Comp Sci

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“…On the other side, with EVM we have a measure at our disposal that is directly linked to the bit-or block error rate (at least for AWGN propagation condition). Though EVM may be approximately derived from the measures stated above [2], it is desirable to develop a method for computating EVM from simulated or measured transfer function that leaves no questions on the validity of approximations involved. The derivation of such a method is the purpose of this paper.…”

Section: Introductionmentioning

confidence: 99%

Semi-analytical computation of error vector magnitude for UMTS SAW filters

Freisleben¹

2002 IEEE Ultrasonics Symposium, 2002. Proceedings.

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Error Vector Magnitude (EVM) is a key parameter for the design of digitally modulated communication systems. In the case of SAW filters, it is a measure for the caused intersymbol-or inter-chip interference. It can be mainly attributed to linear distortion. This paper will present a semi-analytical method for computing EVM based on the definition given in [ 11. The major goal of this work was to provide a precise, easy-touse and computationally efficient method to obtain EVM for UMTS SAW filters while avoiding discrete time system simulation or the use of special measurement equipment other than network analyzers. Therefore, time-and frequency domain formulas for EVM were derived without making simplifying assumptions or approximations. Because the former requires FFT to obtain the filter impulse response from a measured or simulated transfer function and the latter involves numerical integration, this method is called semianalytical.Numerical results based on the time-domain EVM formula will be compared to results from EVM measurement.

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