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Statistical Properties Of Random Sparse Arrays by H. KOOK; P. DAVIES; J.S. BOLTON is a Engineering article available to read on EtoBox.

What is Statistical Properties Of Random Sparse Arrays about?

Theoretical models that can be used to predict the range of mainlobe widths and the probability distribution of the peak sidelobe levels of two-dimensionally sparse arrays are presented here. The arrays are considered to comprise microphones that are randomly positioned on a segmented grid of a given size. First, approximate expressions for the mean and variance of the squared magnitude of the aperture smoothing function are formulated for the random arrays considered in the present study. By using the variance function, the mean value and the lower end of the range i.e., the "rst 1 per cent of the mainlobe width distribution, can be predicted with reasonable accuracy. To predict the probability distribution of the peak sidelobe levels, distributions of levels were modelled by using a Weibull distribution at each peak in the sidelobe region of the mean squared magnitude of the aperture smoothing function. The two parameters of the Weibull distribution were estimated from the means and variances of the levels at the corresponding locations. Next, the probability distribution of the peak sidelobe levels were identi"ed by following a procedure in which the peak sideload level was dete

Who reads Statistical Properties Of Random Sparse Arrays?

Author

H. KOOK; P. DAVIES; J.S. BOLTON

Publisher

Elsevier Science; Elsevier ; Elsevier Inc.; Elsevier BV (ISSN 0022-460X)

Published

2002

Language

EN

Field

Engineering (Physical Sciences)