1. A Software-Defined GNSS Reflectometry Recording Receiver with Wide-Bandwidth, Multi-Band Capability and Digital Beam-Forming
- Author
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Serni Ribó, Antonio Rius, Juan Carlos Arco-Fernández, Estel Cardellach, Fran Fabra, Manuel Martin-Neira, O. Nogues-Correig, and Weiqiang Li
- Subjects
Digital signal processor ,010504 meteorology & atmospheric sciences ,Computer science ,Global Navigation Satellite System Reflectometry (GNSS-R) ,0211 other engineering and technologies ,02 engineering and technology ,Signals of Opportunity (SoOP) ,01 natural sciences ,Sea-surface Altimetry ,Software-defined ,Software ,Hardware ,Electronic engineering ,Passive Reflectometry and Interferometry System (PARIS) ,Bistatic radar ,High-speed Recorder ,Software correlator ,Digital Beamforming ,GEROS-ISS ,lcsh:Science ,021101 geological & geomatics engineering ,0105 earth and related environmental sciences ,Remote sensing ,Signal processing ,business.industry ,Bandwidth (signal processing) ,GNSS reflectometry ,Interferometry ,GNSS applications ,General Earth and Planetary Sciences ,Satellite ,lcsh:Q ,business - Abstract
In this paper, we present the Software PARIS Interferometric Receiver (SPIR), a high-speed GNSS reflectometry recording receiver which has been designed and implemented with the primary goal of demonstrating the synoptic capabilities of the interferometric technique in GNSS Reflectrometry. Thanks to the use of large bandwidth GNSS signals, this technique is advantageous in comparison to the so-called clean-replica processing, when sea surface altimetric applications are pursued. The SPIR receiver down-converts, samples, and records the GNSS signals acquired by the sixteen elements of two antenna arrays. It can operate at any of the common GNSS L1, L2, or L5 bands. Digital beam-forming and signal processing is performed off-line by its dedicated signal processor, so that the GNSS reflectometry can be applied to different transmitting satellites using the same set of recorded signals. Alternatively, different processing techniques can be compared by applying them to exactly the same signals. This article focuses on the SPIR instrument hardware and software, as well as the remote sensing observables that can be obtained using this equipment.
- Published
- 2017
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