Accession Number : ADA018467

Title :   Nonlinear Recursive Estimation of a Moving Target,

Corporate Author : AEROSPACE CORP EL SEGUNDO CALIF

Personal Author(s) : Wong,Kenneth K.

Report Date : 15 SEP 1975

Pagination or Media Count : 9

Abstract : This report considers the application of a Bayesian nonlinear recursive filter for optimal position estimation of a moving target from sampled intensity data. The a posteriori probability density is calculated recursively. The optimal estimator may either be the conditional mean (minimum variance) or the maximum a posteriori. (Author)

Descriptors :   *Recursive filters, *Moving targets, Target detection, Bayes theorem, Algorithms, Signal processing, Gaussian noise, Target position indicators, Probability density functions, Sampling, Intensity, Digital simulation, Monte Carlo method, Nonlinear analysis

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

Distribution Statement : APPROVED FOR PUBLIC RELEASE