DocumentCode :
3096237
Title :
Progress on signal-selective direction finding
Author :
Schell, Stephan ; Gardner, William
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., California Univ., Davis, CA, USA
fYear :
1990
fDate :
10-12 Oct. 1990
Firstpage :
144
Lastpage :
148
Abstract :
The recently discovered Cyclic MUSIC algorithm for narrowband signal-selective direction finding using antenna arrays circumvents many drawbacks of conventional techniques by exploiting known spectral correlation properties (namely known cycle frequencies such as the baud rate or carrier frequency) of the desired signals to reject undesired signals, interference, and noise. Two recent advances in the capabilities of Cyclic MUSIC are described. The first enables Cyclic MUSIC to simultaneously estimate the directions of arrival of signals having different cycle frequencies instead of having to sequentially process each separate frequency in a list of cycle frequencies (either known a priori or measured). The second advance reduces the sensitivity of Cyclic MUSIC to error in the knowledge of the cycle frequency of interest by estimating the frequency of a quadratically-regenerated sine wave and then using that estimate as the cycle frequency parameter in the computation of the cyclic autocorrelation matrix, which is then processed to estimate the directions of arrival.<>
Keywords :
antenna arrays; interference suppression; radio direction-finding; signal detection; Cyclic MUSIC algorithm; antenna arrays; baud rate; carrier frequency; cycle frequencies; cyclic autocorrelation matrix; directions of arrival; interference; interference rejection; narrowband signal-selective direction finding; noise rejection; quadratically-regenerated sine wave; spectral correlation properties; Antenna arrays; Autocorrelation; Direction of arrival estimation; Directive antennas; Frequency estimation; Frequency measurement; Interference; Multiple signal classification; Narrowband; Signal processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Spectrum Estimation and Modeling, 1990., Fifth ASSP Workshop on
Conference_Location :
Rochester, NY, USA
Type :
conf
DOI :
10.1109/SPECT.1990.205563
Filename :
205563
Link To Document :
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