Title :
A Multi-Dimensional Hough Transform-Based Track-Before-Detect Technique for Detecting Weak Targets in Strong Clutter Backgrounds
Author :
Moyer, Lee R. ; Spak, Jeffrey ; Lamanna, Peter
Author_Institution :
Technol. Service Corp., Fairfax, VA, USA
fDate :
10/1/2011 12:00:00 AM
Abstract :
The Hough transform (HT) algorithm detects straight-line features in two-dimensional data. This correspondence extends the HT to N-dimensional data to efficiently combine multiple first-threshold crossings from moving targets. The data dimensions can be the target position, its range and range-rate, and/or the first-threshold crossing times. This multi-dimensional HT (MHT) technique can be applied to enhance the detection of targets in random clutter backgrounds through the application of track-before-detect (TBD) processing.
Keywords :
Hough transforms; feature extraction; multidimensional signal processing; object detection; radar clutter; radar detection; moving targets; multidimensional HT technique; multidimensional Hough transform-based track-before-detect technique; multiple first-threshold crossing; random clutter backgrounds; straight-line feature detection; target position; two-dimensional data; weak target detection; Clutter; Radar cross section; Radar tracking; Target tracking; Trajectory; Uncertainty;
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
DOI :
10.1109/TAES.2011.6034689
