DocumentCode
1348963
Title
A statistical and physical mechanisms-based interference and noise model for array observations
Author
McDonald, Keith F. ; Blum, Rick S.
Author_Institution
Mitre Corp., Bedford, MA, USA
Volume
48
Issue
7
fYear
2000
fDate
7/1/2000 12:00:00 AM
Firstpage
2044
Lastpage
2056
Abstract
A statistical noise model is developed from mathematical modeling of the physical mechanisms that generate noise in communication receivers employing antenna arrays. Such models have been lacking for cases where the antenna observations may be statistically dependent from antenna to antenna. The model is developed by generalizing an approach for single antenna cases suggested by Middleton (1967, 1974, 1976, 1977). The model derived here is applicable to a wide variety of physical situations. The focus is primarily on problems defined by Middleton to be Class A interference. The number of noise sources in a small region of space is assumed to be Poisson distributed, and the emission times are assumed to be uniformly distributed over a long time interval. Finally, an additive Gaussian background component is included to represent the thermal noise that is always present in real receivers
Keywords
Fourier transforms; Gaussian noise; Poisson distribution; antenna arrays; array signal processing; radio receivers; radiofrequency interference; statistical analysis; thermal noise; Class A interference; Fourier transform techniques; Poisson distribution; additive Gaussian background component; antenna observations; array observations; emission times; noise sources; physical mechanism-based interference model; physical mechanism-based noise model; receivers; statistical mechanism-based interference model; statistical mechanism-based noise model; thermal noise; Additive noise; Antennas and propagation; Bandwidth; Gaussian noise; Interference; Mathematical model; Noise generators; Noise measurement; Receiving antennas; Working environment noise;
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/78.847789
Filename
847789
Link To Document