Accession Number:

ADA018467

Title:

Nonlinear Recursive Estimation of a Moving Target,

Descriptive Note:

Corporate Author:

AEROSPACE CORP EL SEGUNDO CALIF

Personal Author(s):

• Wong,Kenneth K.

Report Date:

1975-09-15

Pagination or Media Count:

9.0

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 and Passive Radar Detection and Equipment

Distribution Statement:

APPROVED FOR PUBLIC RELEASE