CENTRAL LIMIT THEOREMS FOR CONDITIONALLY LINEAR RANDOM PROCESSES WITH APPLICATIONS TO MODELS OF RADAR CLUTTER,
RAND CORP SANTA MONICA CALIF
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The paper presents models of random processes which have been found useful as models of radar clutter and reverberation interferences. A widely applicable technique for finding criteria under which linear processing of data correlator outputs will produce Gaussian statistics is presented. The models are called conditionally linear processes, and the description of the correlator output requires a central limit theorem for sums of dependent random variables. The conditions for the central limit theorem are related to physically reasonable conditions on the model. The results of the study are relevant to radar-interference problems and to the processing of non-Gaussian statistical data.
- Active and Passive Radar Detection and Equipment