2015 International Symposium on Signals, Circuits and Systems (ISSCS) 2015
DOI: 10.1109/isscs.2015.7204002
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Parametric estimation of UWB signals with sub-Nyquist sampling

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Cited by 2 publications
(1 citation statement)
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“…The time-domain waveforms of these four kinds of nonband-limited signals are reconstructed by using signal peak amplitude and time of arrival, estimated by using a spectral analysis algorithm with sparse sampling data. After some years of development, FRI sampling theory has been applied to the fields of ultra-wideband communication [2,3], GPS [4], radar [5], medical ultrasonic imaging [6][7][8][9] and industrial ultrasonic testing [10,11]. However, FRI sampling theory is still at the theoretical discussion stage; the sparse data used by researchers is obtained from Nyquist sampling data-socalled 'second sampling'.…”
Section: Introductionmentioning
confidence: 99%
“…The time-domain waveforms of these four kinds of nonband-limited signals are reconstructed by using signal peak amplitude and time of arrival, estimated by using a spectral analysis algorithm with sparse sampling data. After some years of development, FRI sampling theory has been applied to the fields of ultra-wideband communication [2,3], GPS [4], radar [5], medical ultrasonic imaging [6][7][8][9] and industrial ultrasonic testing [10,11]. However, FRI sampling theory is still at the theoretical discussion stage; the sparse data used by researchers is obtained from Nyquist sampling data-socalled 'second sampling'.…”
Section: Introductionmentioning
confidence: 99%