Name
Abstract | ||
|---|---|---|
In space mission there are different scenarios where autonomous radio systems are very useful. In this paper we consider one of such scenarios, related to the communication infrastructure for the planet exploration (where different rovers communicate with an orbiter). One of the most critical functions to implement in autonomous radio is the reconstruction of the electromagnetic scenario, detecting the radio emission of the rovers (with the estimate of the frequency of the carrier, the power level and so on) present on the planet surface. In these deep space missions, it is often necessary to analyze a very large bandwidth signal (often more than 1 GHz) where only few small portions of the spectrum are used by narrow-band transmissions. This spectrum characteristic requires the use of high-resolution spectrum analysis, typically performed using FFT based algorithms. Even if this large bandwidth analysis is possible with actual (terrestrial) ADC technology, the space qualification and the constraints on the power consumption make this ADCs unsuitable for space applications. This paper shows as the new paradigm of Compressive Sensing -or Compressive Sampling- (CS) can be exploited to reduce the performance requirements of the ADC used for the spectrum analysis in autonomous radio. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/ACSSC.2013.6810326 | Pacific Grove, CA |
Keywords | Field | DocType |
analogue-digital conversion,bandwidth allocation,compressed sensing,fast Fourier transforms,frequency estimation,planetary rovers,radio receivers,radio spectrum management,signal reconstruction,space communication links,ADC technology,FFT based algorithms,autonomous radio systems,bandwidth analysis,carrier frequency estimation,communication infrastructure,compressive sampling,compressive sensing spectrum analysis,deep space missions,electromagnetic scenario reconstruction,fast Fourier transform,narrow-band transmissions,planet exploration,power level estimation,rover radio emission detection,space autonomous radio receivers,space qualification | Flight dynamics (spacecraft),Computer science,Signal-to-noise ratio,Electronic engineering,Modulation,Fast Fourier transform,Space exploration,Bandwidth (signal processing),Compressed sensing,Orbiter | Conference |
ISSN | ISBN | Citations |
1058-6393 | 978-1-4799-2388-5 | 0 |
PageRank | References | Authors |
0.34 | 3 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gian-Carlo Cardarilli | 1 | 57 | 14.97 |
| Marco Re | 2 | 194 | 35.03 |
| Ilir Shuli | 3 | 0 | 0.34 |
| Lorenzo Simone | 4 | 1 | 2.46 |