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
fDate :
7/1/2000 12:00:00 AM
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;
Journal_Title :
Signal Processing, IEEE Transactions on