Accession Number:

ADA002690

Title:

Bayesian Recursive Estimation with Sampled IR Data.

Descriptive Note:

Technical rept.,

Corporate Author:

AEROSPACE CORP EL SEGUNDO CALIF ENGINEERING SCIENCE OPERATIONS

Personal Author(s):

• Wong,Kenneth K.

Report Date:

1974-09-30

Pagination or Media Count:

10.0

Abstract:

A Bayesian nonlinear filter is presented for sampled infrared IR sensor data processing. The filter estimates the position of the noise-corrupted target signal located within the sensors field of view. The filter is optimal in the sense of minimizing the mean-square estimation errors. Monte Carlo simulation results are presented. The results show that the filter works well even under very low signal-to-noise ration SNR conditions.

Descriptors:

• *SIGNAL PROCESSING
• *INFRARED SIGNATURES
• SIGNAL TO NOISE RATIO
• WHITE NOISE
• NONLINEAR SYSTEMS
• BAYES THEOREM
• INFORMATION THEORY

Subject Categories:

• Cybernetics
• Infrared Detection and Detectors

Distribution Statement:

APPROVED FOR PUBLIC RELEASE