Hough detector with adaptive non-coherent integration for target detection in pulse jamming

It is shown that the Hough transform with binary integration of the data in parameter space may be used for improvement of target detection in the presence of strong pulse jamming (PJ). The algorithm proposed may be used for effective detection of small airborne targets whose trajectories are straig...

Full description

Saved in:
Bibliographic Details
Main Authors: Behar, V., Kabakchiev, C.
Format: Conference Proceeding
Language:English
Subjects:
Coordinate measuring machines
Data mining
Detectors
Jamming
Object detection
Radar detection
Signal detection
Signal to noise ratio
Surveillance
Trajectory
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:It is shown that the Hough transform with binary integration of the data in parameter space may be used for improvement of target detection in the presence of strong pulse jamming (PJ). The algorithm proposed may be used for effective detection of small airborne targets whose trajectories are straight radial lines. The expressions for detection probability evaluation are derived for a target model according to the Swerling case II. The expressions obtained are applied to the typical surveillance radar. The results show that the algorithm proposed allows one sufficiently to reduce the losses in the signal-to noise ratio (SNR) in comparison to the CA CFAR detector with non-coherent integration when the PJ intensity is very strong. It is shown that the algorithm proposed is very effective even if the probability of PJ appearance is very high.
DOI:10.1109/ISSSTA.1998.722531