Facing synchronization problems in MIMO measurement systems

MIMO measurement systems are measurement systems that collect homogeneous and/or heterogeneous measurement data from several input sources and then process them to achieve multiple output information, possibly exploiting their redundancy to be more robust against disturbances, such as interference and noise. The paper discusses the crucial synchronization issues of MIMO measurement systems, classifies them into two categories depending on how they affect the sampled signals, and proposes a methodology for the synchronization of different acquisition channels.

[1]  Rik Pintelon,et al.  An improved sine-wave fitting procedure for characterizing data acquisition channels , 1995 .

[2]  Anna Scaglione,et al.  Cooperative Randomized MIMO-OFDM Downlink for Multicell Networks: Design and Analysis , 2010, IEEE Transactions on Signal Processing.

[3]  P. Vaidyanathan.  Multirate Systems And Filter Banks , 1992 .

[4]  A. Cruz Serra,et al.  Least Squares Multiharmonic Fitting: Convergence Improvements , 2007, IEEE Transactions on Instrumentation and Measurement.

[5]  J. Schoukens,et al.  High-Accuracy Spectrum Analysis of Sampled Discrete Frequency Signals by Analytical Leakage Compensation , 1984, IEEE Transactions on Instrumentation and Measurement.

[6]  A. Cruz Serra,et al.  New Spectrum Leakage Correction Algorithm for Frequency Estimation of Power System Signals , 2009, IEEE Transactions on Instrumentation and Measurement.

[7]  Daniel Belega,et al.  Frequency estimation via weighted multipoint interpolated DFT , 2008 .

[8]  T. Ramstad.  Digital methods for conversion between arbitrary sampling frequencies , 1984 .

[9]  Dusan Agrez,et al.  Weighted multipoint interpolated DFT to improve amplitude estimation of multifrequency signal , 2002, IEEE Trans. Instrum. Meas..

[10]  C. K. Yuen,et al.  Theory and Application of Digital Signal Processing , 1978, IEEE Transactions on Systems, Man, and Cybernetics.

[11]  Paul E. Beckmann,et al.  Efficient arbitrary sampling rate conversion with recursive calculation of coefficients , 2002, IEEE Trans. Signal Process..