Accession Number : ADA258918


Title :   Radar Cross Section Models for Limited Aspect Angle Windows


Descriptive Note : Master's thesis


Corporate Author : AIR FORCE INST OF TECH WRIGHT-PATTERSON AFB OH SCHOOL OF ENGINEERING


Personal Author(s) : Robinson, Mark C


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/a258918.pdf


Report Date : Dec 1992


Pagination or Media Count : 130


Abstract : This thesis presents a method for building Radar Cross Section (RCS) models of aircraft based on static data taken from limited aspect angle windows. These models statistically characterize static RCS. This is done to show that a limited number of samples can be used to effectively characterize static aircraft RCS. The optimum models are determined by performing both a Kolmogorov and a Chi-Square goodness-of-fit test comparing the static RCS data with a variety of probability density functions (pdf) that are known to be effective at approximating the static RCS of aircraft. The optimum parameter estimator is also determined by the goodness of-fit tests if there is a difference in pdf parameters obtained by the Maximum Likelihood Estimator (MLE) and the Method of Moments (MoM) estimators. Section, Statistical Modeling.


Descriptors :   *RADAR CROSS SECTIONS , *STATISTICAL ANALYSIS , *GOODNESS OF FIT TESTS , TEST AND EVALUATION , FUNCTIONS , ANGLES , DENSITY , AIRCRAFT , METHOD OF MOMENTS , STATICS , ASPECT ANGLE , NUMBERS , WINDOWS , MODELS , PARAMETERS , BUILDINGS , THESES , PROBABILITY DENSITY FUNCTIONS


Subject Categories : Statistics and Probability
      Active & Passive Radar Detection & Equipment


Distribution Statement : APPROVED FOR PUBLIC RELEASE