Wideband radio frequency measurements: From instrumentation to sampling theory

Whether listening to broadcast radio or testing developed wireless devices, for civilian or military applications, based on terrestrial or spatial links, a radio frequency (RF) receiver with good measurement capabilities that preserves the received signal information is required. Today's RF measurement receivers with wideband capabilities are split into two groups based on the measurement strategy they adopt. Both groups produce a time domain waveform with both amplitude and phase information that is constructed either from a transformation of its frequency contents or directly from its time-domain samples.

[1]  Richard G. Lyons,et al.  Understanding Digital Signal Processing , 1996 .

[2]  E.J. Candes,et al.  An Introduction To Compressive Sampling , 2008, IEEE Signal Processing Magazine.

[3]  K.A. Remley,et al.  The Sampling Oscilloscope as a Microwave Instrument , 2007, IEEE Microwave Magazine.

[4]  A. Dienstfrey,et al.  Calibration of sampling oscilloscopes with high-speed photodiodes , 2006, IEEE Transactions on Microwave Theory and Techniques.

[5]  J. Tropp,et al.  SIGNAL RECOVERY FROM PARTIAL INFORMATION VIA ORTHOGONAL MATCHING PURSUIT , 2005 .

[6]  David L Donoho,et al.  Compressed sensing , 2006, IEEE Transactions on Information Theory.

[7]  Joel A. Tropp,et al.  Signal Recovery From Random Measurements Via Orthogonal Matching Pursuit , 2007, IEEE Transactions on Information Theory.

[8]  R. Tibshirani.  Regression Shrinkage and Selection via the Lasso , 1996 .

[9]  John G. Proakis,et al.  Digital Signal Processing Using MATLAB , 1999 .

[10]  H. Nyquist,et al.  Certain Topics in Telegraph Transmission Theory , 1928, Transactions of the American Institute of Electrical Engineers.

[11]  Robert Shimon,et al.  InP IC Technology Powers Agilent's Infiniium 90000 X-Series Real Time Oscilloscope , 2010, 2010 IEEE Compound Semiconductor Integrated Circuit Symposium (CSICS).

[12]  R. DeVore,et al.  A Simple Proof of the Restricted Isometry Property for Random Matrices , 2008 .

[13]  Rudy J. Van De Plassche.  Sample-and-hold amplifiers , 2003 .

[14]  Wendy Van Moer,et al.  Reducing the Analog and Digital Bandwidth Requirements of RF Receivers for Measuring Periodic Sparse Waveforms , 2012, IEEE Transactions on Instrumentation and Measurement.

[15]  J. Verspecht.  The return of the sampling frequency convertor , 2003, Conference, 2003. Fall 2003. 62nd ARFTG Microwave Measurements.

[16]  Emmanuel J. Candès,et al.  Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information , 2004, IEEE Transactions on Information Theory.

[17]  P. Tseng,et al.  Block Coordinate Relaxation Methods for Nonparametric Wavelet Denoising , 2000 .

[18]  Jan Verspecht,et al.  Calibration of a Measurement System for High Frequency Nonlinear Devices , 1999 .

[19]  Richard G. Baraniuk,et al.  Random Projections of Smooth Manifolds , 2009, Found. Comput. Math..

[20]  K. Barbe,et al.  Harmonic Sampling and Reconstruction of Wideband Undersampled Waveforms: Breaking the Code , 2011, IEEE Transactions on Microwave Theory and Techniques.

[21]  Yonina C. Eldar,et al.  From Theory to Practice: Sub-Nyquist Sampling of Sparse Wideband Analog Signals , 2009, IEEE Journal of Selected Topics in Signal Processing.

[22]  C.E. Shannon,et al.  Communication in the Presence of Noise , 1949, Proceedings of the IRE.

[23]  Ieee Std,et al.  IEEE Standard for Terminology and Test Methods for Analog-to-Digital Converters , 2011 .

[24]  Stephen P. Boyd,et al.  Convex Optimization , 2004, Algorithms and Theory of Computation Handbook.

[25]  Dennis Derickson,et al.  Digital Communications Test and Measurement: High-Speed Physical Layer Characterization , 2007 .

[26]  W. Van Moer,et al.  NVNA versus LSNA: enemies or friends? , 2010, IEEE Microwave Magazine.

[27]  Bernard Widrow,et al.  Quantization Noise: Roundoff Error in Digital Computation, Signal Processing, Control, and Communications , 2008 .

[28]  J. Romberg,et al.  Sparse Signal Recovery via l1 Minimization , 2006, 2006 40th Annual Conference on Information Sciences and Systems.

[29]  Justin K. Romberg,et al.  Beyond Nyquist: Efficient Sampling of Sparse Bandlimited Signals , 2009, IEEE Transactions on Information Theory.

[30]  J. Verspecht,et al.  Large-signal network analysis , 2005, IEEE Microwave Magazine.

[31]  Brian M. Sadler,et al.  A Sub-Nyquist Rate Sampling Receiver Exploiting Compressive Sensing , 2011, IEEE Transactions on Circuits and Systems I: Regular Papers.

[32]  M. Kahrs,et al.  50 years of RF and microwave sampling , 2003 .

[33]  Emmanuel J. Candès,et al.  Decoding by linear programming , 2005, IEEE Transactions on Information Theory.

[34]  Shinichi Inoue,et al.  Analog / digital conversion and digital / analog converter , 1995 .

[35]  Niclas Bjorsell,et al.  A test-bed designed to utilize Zhu's general sampling theorem to characterize power amplifiers , 2009, 2009 IEEE Instrumentation and Measurement Technology Conference.

[36]  Peter Händel,et al.  Unfolding the frequency spectrum for undersampled wideband data , 2011, Signal Process..