DocumentCode :
2286762
Title :
Large antenna array techniques for very low SNR channels
Author :
Ye, Zhong ; Satorius, Edgar H. ; Vilnrotter, Victor A. ; Pham, Timothy T. ; Fort, David N.
Author_Institution :
Jet Propulsion Lab., California Inst. of Technol., Pasadena, CA, USA
Volume :
2
fYear :
2001
fDate :
2001
Firstpage :
1283
Abstract :
Various arraying techniques are studied focusing on the very low received signal SNR channel conditions commonly found in deep space communications applications. These include correlation-based blind approaches as well as a sub-space based superresolution approach. In addition to weak received signals, atmospheric turbulence and spatially correlated interference from nearby planets (and possibly quasars) creates additional channel impairment. It is demonstrated that the sub-space based MUSIC algorithm is a strong candidate for this application that can provide great angle separation accuracy and interference suppression capability. Adaptive beamforming techniques in combination with the MUSIC algorithm provide a flexible platform to combat channel impairment.
Keywords :
antenna arrays; array signal processing; interference suppression; radiofrequency interference; signal classification; signal resolution; space communication links; MUSIC algorithm; SNR; adaptive beamforming; angle separation accuracy; antenna array techniques; atmospheric turbulence; correlation-based blind approaches; deep space communications; interference suppression; spatially correlated interference; sub-space based superresolution; Antenna arrays; Aperture antennas; Array signal processing; Interference suppression; Multiple signal classification; Planets; Receiving antennas; Signal to noise ratio; Space exploration; Space vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Military Communications Conference, 2001. MILCOM 2001. Communications for Network-Centric Operations: Creating the Information Force. IEEE
Print_ISBN :
0-7803-7225-5
Type :
conf
DOI :
10.1109/MILCOM.2001.986062
Filename :
986062
Link To Document :
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