Accession Number:

ADA247362

Title:

A Comparison of Feed-Forward Networks and Maximum Likelihood on a Point- Source Location Problem

Descriptive Note:

Memorandum rept.

Corporate Author:

ROYAL SIGNALS AND RADAR ESTABLISHMENT MALVERN (UNITED KINGDOM)

Personal Author(s):

• Webb, A. R.

Report Date:

1991-04-01

Pagination or Media Count:

38.0

Abstract:

The problem of point source location using a multi-beam focal-plane staring array radar is addressed. It is viewed as one in functional approximation in which the position of the source is regarded as a nonlinear function of the sampled radar image and it is required to construct an approximant, using a training set, which minimises the mean square error in the position estimate. The problem is also one of generalisation, since the expected operating conditions are likely to be corrupted by noise and this must be taken into account when designing the approximant. Two feed-forward network architectures are considered - a particular radial basis function network which arises as a consequence of the minimum mean square error solution and is appropriate when the signal-to-noise ratio is small and a multi-layer perceptron, chosen for high signal-to-noise ratio approximation. The errors in the position estimates for each of these approaches are compared with a maximum likelihood position estimation method. The maximum likelihood method gives better overall performance and has the advantage that it is not dependent on the signal-to-noise ratio.

Descriptors:

• *MAXIMUM LIKELIHOOD ESTIMATION
• FUNCTIONS
• SOURCES
• POSITION(LOCATION)
• ARRAYS
• RADAR IMAGES
• SOLUTIONS(GENERAL)
• SAMPLING
• MEAN
• MULTIPLE BEAMS(RADIATION)
• FOCAL PLANES
• NONLINEAR ANALYSIS
• ERRORS
• ESTIMATES
• RADAR
• SIGNAL TO NOISE RATIO
• HIGH RATE
• TRAINING

Subject Categories:

• Active and Passive Radar Detection and Equipment
• Target Direction, Range and Position Finding

Distribution Statement:

APPROVED FOR PUBLIC RELEASE