Algorithm for statistical classification of radar clutter into one of several categories

Nicholas A. Nechval

doi:10.1117/12.44859

1 August 1991 Algorithm for statistical classification of radar clutter into one of several categories

Nicholas A. Nechval

Proceedings Volume 1470, Data Structures and Target Classification; (1991) https://doi.org/10.1117/12.44859
Event: Orlando '91, 1991, Orlando, FL, United States

Abstract

In this paper, an algorithm is described which successfully classifies radar clutter into one of several major categories, including bird, weather, and target classes. Statistical non-Bayesian classification of objects is based on the data samples (each sample being drawn from a different class). It is applied to a set of features derived from the reflection coefficients that contain all spectral information about the observed object and are computed using the multi-segment version of Burgts formula. These coefficients are then transformed and grouped to meet the requirements for inultivariate gaussian behaviour. The proposed algorithm is based on a new approach to solving the problem of testing whether a given sample of multivariate observations could have come from a multivariate normal population with an unknown mean vector and dispersion matrix. By using a series of transformations it is shown that the problem of testing for multi-variate normality can be reduced to that of testing for univariate uniformity (U(O,i)). In this case, the problem of classification, that is of assigning an observed object to its proper group, admits a simple solution.

Citation Download Citation

Nicholas A. Nechval "Algorithm for statistical classification of radar clutter into one of several categories", Proc. SPIE 1470, Data Structures and Target Classification, (1 August 1991); https://doi.org/10.1117/12.44859

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available