Bounds on the systematic measurement errors of channel sounders for time-varying mobile radio channels

Matz, Gerald; Molisch, Andreas F.; Steinbauer, M.; Hlawatsch, Franz; Gaspard, I.; Artes, H.

doi:10.1109/vetecf.1999.801505

Cited by 7 publications

(16 citation statements)

References 11 publications

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“…Whereas correlative sounding methods for mobile radio channels are usually described under the assumption of quasi-timeinvariance [4]- [6], we here place them in a unifying mathematical framework for time-varying channels [7]. Most channel sounding methods are motivated by correlative identification techniques for time-invariant systems that are based on the following premises:…”

Section: Correlative Channel Sounding Methodsmentioning

confidence: 99%

“…They quantify the delays (time shifts) and Doppler (frequency) shifts effected by the channel in the sense that (7) Both and are special cases of the generalized spreading function [10] and related by a phase factor Because the magnitudes of and are equal, we shall hereafter use the shorthand notation . Assuming the channel to be causal, there is for .…”

Section: A System Functionsmentioning

confidence: 99%

“…Practical channel sounders often attempt to compensate for this error via back-to-back calibration. While calibrated sounders are not considered in this paper, we showed in [7] that in the case of time-varying channels conventional calibration suffers from systematic errors as well. In [7], an improved calibration method that is more immune to time variations is also proposed.…”

Section: Introductionmentioning

confidence: 99%

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On the systematic measurement errors of correlative mobile radio channel sounders

Matz

Molisch

Hlawatsch

et al. 2002

IEEE Trans. Commun.

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We show that measurements of time-varying mobile radio channels obtained with uncalibrated correlative channel sounders are affected by four different types of systematic errors (commutation, pulse-compression, aliasing, and misinterpretation error). We analyze these errors and provide upper error bounds that are formulated in terms of channel and sounder parameters. Based on these error bounds, we provide guidelines for a judicious choice of important sounder parameters. Computer simulations using a simple two-path channel illustrate our theoretical results. Finally, we show how our results can be used to assess the accuracy of measured channel data.

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Section: Correlative Channel Sounding Methodsmentioning

confidence: 99%

Section: A System Functionsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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On the systematic measurement errors of correlative mobile radio channel sounders

Matz

Molisch

Hlawatsch

et al. 2002

IEEE Trans. Commun.

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“…In the literature, the term correlation sounder is usually reserved for a more specific setup where r(t) = s * (−t) with s(t) resulting from a BPSK modulated pseudo-(random) noise sequence (PNS) (typically an m-sequence). The widely used class of channel sounders employing chirp or multisine sounding sequences [1], [16]- [19] satisfies the conditions stated in the previous paragraph and hence fits into our framework.…”

Section: ) Correlation-based Soundingmentioning

confidence: 99%

“…It therefore remains to verify the stationarity assumption (on the time-scale of one MIMO snapshot) made throughout the paper. In particular, we need to show that the phase noise sequence ϕ n resulting from samples taken at the time instants nT R exhibits stationary 16 Note that the length of the sounding sequences is in fact 31T and 511T , respectively.…”

Section: ) Verification Of Assumptions On Phase Error Statisticsmentioning

confidence: 99%

Information-Theoretic Analysis of MIMO Channel Sounding

Baum

Bölcskei

2011

IEEE Trans. Inform. Theory

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The large majority of commercially available multiple-input multiple-output (MIMO) radio channel measurement devices (sounders) is based on time-division multiplexed switching (TDMS) of a single transmit/receive radio frequency chain into the elements of a transmit/receive antenna array. While being cost-effective, such a solution can cause significant measurement errors due to phase noise and frequency offset in the local oscillators. In this paper, we systematically analyze the resulting errors and show that, in practice, overestimation of channel capacity by several hundred percent can occur. Overestimation is caused by phase noise (and to a lesser extent frequency offset) leading to an increase of the MIMO channel rank. Our analysis furthermore reveals that the impact of phase errors is, in general, most pronounced if the physical channel has low rank (typical for line-of-sight or poor scattering scenarios).The extreme case of a rank-1 physical channel is analyzed in detail. Finally, we present measurement results obtained from a commercially employed TDMS-based MIMO channel sounder. In the light of the findings of this paper, the results obtained through MIMO channel measurement campaigns using TDMS-based channel sounders should be interpreted with great care.

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A stochastic multipath channel model including path directions for indoor environments

Zwick

Fischer²,

Wiesbeck³

2002

IEEE J. Select. Areas Commun.

165

105

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Bounds on the systematic measurement errors of channel sounders for time-varying mobile radio channels

Cited by 7 publications

References 11 publications

On the systematic measurement errors of correlative mobile radio channel sounders

On the systematic measurement errors of correlative mobile radio channel sounders

Information-Theoretic Analysis of MIMO Channel Sounding

A stochastic multipath channel model including path directions for indoor environments

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