2014 IEEE Antennas and Propagation Society International Symposium (APSURSI) 2014
DOI: 10.1109/aps.2014.6905113
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Frequency estimator performance for a software-based beacon receiver

Abstract: Site of StudyTo characterize atmospheric propagation effects at Ka-band (20 GHz) and Q-band (40 GHz), a dual Ka/Q-band beacon receiver was deployed to Milan, Italy in a collaboration between NASA Glenn Research Center and the Politecnico di Milano, utilizing the beacons onboard the Alphasat satellite (launched July 2013).

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Cited by 9 publications
(14 citation statements)
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“…The 5 MHz IF of the receiver requires modifications in order to maintain similar performance from the frequency estimation routine employed in all NASA GRC-based beacon receivers [34], [35]. The 5 MHz IF signal is sampled by a 12-bit National Instruments 5124 data acquisition (DAQ) card at a sampling frequency of 11.111 MHz.…”
Section: Measurement Setup and Parameter Estimation A Measuremementioning
confidence: 99%
“…The 5 MHz IF of the receiver requires modifications in order to maintain similar performance from the frequency estimation routine employed in all NASA GRC-based beacon receivers [34], [35]. The 5 MHz IF signal is sampled by a 12-bit National Instruments 5124 data acquisition (DAQ) card at a sampling frequency of 11.111 MHz.…”
Section: Measurement Setup and Parameter Estimation A Measuremementioning
confidence: 99%
“…In both Milan and Edinburgh, the downconverted 5 MHz beacon signals are digitized using a National Instruments PCI‐5124 oscilloscope card. Measurement of the signal power is accomplished through a novel frequency estimation technique using a variant of the Quinn‐Fernandes (QNF) frequency estimator, which interpolates the Fast Fourier Transform (FFT). Measurements are recorded at a rate of 10 Hz and are also averaged in real time to 1 Hz.…”
Section: Digital Signal Processingmentioning
confidence: 99%
“…Measurement of the signal power is accomplished through a novel frequency estimation technique 12,13 Several digital processing techniques are also applied to maximize the dynamic range of the receivers by improving their performance in low signal-to-noise ratio environments: the simplest of these is the use of an a priori frequency window to limit the measurement to a small frequency range known to contain the beacon. Because the QNF algorithm begins with a simple peak search, it is susceptible to favoring spurious noise peaks over the true signal when the SNR is low.…”
Section: Frequency Tracking and Windowingmentioning
confidence: 99%
“…f an FFT bin, the ent bins and, if se by as much as n be reduced by has the negative ange due to the bandwidth. One ploy a frequency signal frequency signal power at ance of various single bin power dB [3]. As the jacent FFT bins, quency estimator and provide an to the peak FFT dily observable.…”
Section: Frequency Estimation Apmentioning
confidence: 99%