Accession Number:

ADA370784

Title:

A Kalman Filter-Based Approach to Target Detection and Target- Background Separation in Ground Penetrating Radar Data

Descriptive Note:

Technical rept.

Corporate Author:

AERONAUTICAL AND MARITIME RESEARCH LAB MELBOURNE (AUSTRALIA)

Personal Author(s):

• Carevic, Dragana

Report Date:

1999-08-01

Pagination or Media Count:

34.0

Abstract:

The returns from shallowly buried targets measured using Ground Penetrating Radar GPR are typically obscured by a strong background signal comprised of the reflections from the air-soil interface. A Kalman filter-based approach is proposed to estimate this background signal and to separate it from the target return. In the absence of the target the filter operates using a quiescent state model in which it computes the background estimate. A statistic based on measurement innovation is applied to detect the target position. Upon detection the state is augmented by a new component which allows for the change of the signal corresponding to the presence of the target return. The augmented state model is used until it is reverted to the quiescent model by another decision.

Descriptors:

• *MINE DETECTION
• *TARGET DISCRIMINATION
• *RADAR CLUTTER
• *LAND MINES
• SIGNAL PROCESSING
• KALMAN FILTERING
• BURIED OBJECTS
• TARGET DETECTION
• AUSTRALIA

Subject Categories:

• Land Mine Warfare
• Active and Passive Radar Detection and Equipment

Distribution Statement:

APPROVED FOR PUBLIC RELEASE