DocumentCode :
2222692
Title :
Correlation properties of direct broadcast signals for bistatic remote sensing
Author :
Shah, Rashmi ; Garrison, James L.
Author_Institution :
Sch. of Aeronaut. & Astronaut., Purdue Univ., West Lafayette, IN, USA
fYear :
2012
fDate :
22-27 July 2012
Firstpage :
7508
Lastpage :
7511
Abstract :
In this paper, we present a study of relevant correlation properties of signals transmitted from commercial DirecTV satellite signals with the purpose of evaluating their potential use as “signals of opportunity” for bistatic remote sensing. The ambiguity function of the DirecTV satellite signal is computed analytically from published information on the modulation schemes and bandwidth, under the assumption that the data modulation is random. This model is experimentally tested by recording the received signals from the satellites. Also, the signal to noise ratio (SNR) is computed from the published information. The coherence time of the DirecTV signal is computed using the experimental data from two direct signals that is recorded with two different clock sources. An experiment is done to record some reflected data from a river and the coherence time of the Interferometric Complex Field (ICF) from this reflected data is computed for the purposes of measuring the sea state.
Keywords :
direct broadcasting by satellite; geophysical signal processing; geophysical techniques; oceanography; remote sensing; rivers; television broadcasting; ICF; SNR; ambiguity function; bandwidth; bistatic remote sensing; clock source; coherence time; commercial DirecTV satellite signal; correlation property; data modulation; direct broadcast signal; interferometric complex field; river; sea state measurement; signal of opportunity; signal to noise ratio; signal transmission; Coherence; Correlation; Global Positioning System; Receivers; Satellite broadcasting; Satellites; Sea measurements; Bistatic radar; coherence time; digital communication signals; waveforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
ISSN :
2153-6996
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
Type :
conf
DOI :
10.1109/IGARSS.2012.6351895
Filename :
6351895
Link To Document :
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