2014
DOI: 10.1049/iet-spr.2013.0137
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Channel gain mismatch and time delay calibration for modulated wideband converter‐based compressive sampling

Abstract: The modulated wideband converter (MWC) is a recently proposed compressive sampling system for acquiring sparse multiband signals. For the MWC with digital sub-channel separation block, channel gain mismatch and time delay will lead to a potential performance loss in reconstruction. These gains and delays are represented as an unknown multiplicative diagonal matrix here. The authors formulate the estimation problem as a convex optimisation problem, which can be efficiently solved by utilising least squares esti… Show more

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Cited by 8 publications
(4 citation statements)
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“…It is possible to provides these values for any compensation method, so that the effect of the reconstruction algorithms is removed. The obtained results demonstrate that it is possible to estimate the delay of each channel without the use of reconstruction algorithms, matrix manipulations and test signals [7,8], using a simple and easy-to-implement approach. However, it is still necessary to carry out further studies on how to use these estimated values in the measurement compensation, so that the method can be better evaluated with, for example, figures of merit.…”
Section: Discussionmentioning
confidence: 85%
See 1 more Smart Citation
“…It is possible to provides these values for any compensation method, so that the effect of the reconstruction algorithms is removed. The obtained results demonstrate that it is possible to estimate the delay of each channel without the use of reconstruction algorithms, matrix manipulations and test signals [7,8], using a simple and easy-to-implement approach. However, it is still necessary to carry out further studies on how to use these estimated values in the measurement compensation, so that the method can be better evaluated with, for example, figures of merit.…”
Section: Discussionmentioning
confidence: 85%
“…Regarding the problem of synchronization between the input signal and the AIC control signals, some AIC calibra-tion methods deal this problem by using sinusoids with unknown phases to estimate the frequency response of the system transfer and blind calibration using sparse recovery algorithms to estimate the delay coefficients [7,8,9,10]. However, these algorithms are sensible to their input parameters and, depending on the reconstruction method, may not correspond the ideal response, which may mask effects produced by the physical characteristics of the AIC.…”
Section: Introductionmentioning
confidence: 99%
“…However, the time difference is introduced by a non-zero wiring delay in the practical implementation. This time difference can be taken into account as a linear phase shift in the sensing matrix as pointed out by [7], [21], [29]. In the proposed technique, the time difference between PSF and ADC clock is automatically included in the actualc i,l in (24).…”
Section: Calibration Of the Actual Sensing Matrixmentioning
confidence: 99%
“…The authors of [33] defined a gain error matrix to model the gain mismatch. In [34], the authors proposed a calibration method to solve the channel gain mismatch and time‐delay issue. In [35], the authors proposed a calibration algorithm to find the effective transfer‐matrix.…”
Section: Introductionmentioning
confidence: 99%