Title :
Detection of weak, subpixel targets using mesh-connected cellular automata
Author :
Preston, Kendall, Jr.
Author_Institution :
Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA, USA
fDate :
5/1/1990 12:00:00 AM
Abstract :
Effective use of military cellular automata such as military data array processor (MilDAP) and geometric arithmetic parallel processor (GAPP), in weak, subpixel target detection is shown to be possible by using new signal processing regimes based on binary ranking filter theory. By using binary ranking filters, the MilDAP can furnish 6 dB of processing gain against white Gaussian noise while monitoring from one to four million potential target tracks at 10-40 frames/s. GAPP is shown to be capable of monitoring 3.7 million tracks over 216×384 detectors at 14000 frames/s and, in a time sharing mode, 15 million tracks over 432×768 detectors at 24 frames/s. The special case of threatening targets is discussed, as well as alternate cellular architectures which use multidimensional binary ranking filters in multidimensional coordinate systems
Keywords :
computerised pattern recognition; computerised picture processing; filtering and prediction theory; finite automata; military computing; multidimensional digital filters; parallel processing; signal detection; time-sharing systems; white noise; binary ranking filter theory; cellular architectures; geometric arithmetic parallel processor; image processing; linear processing; mesh-connected cellular automata; military cellular automata; military data array processor; multidimensional coordinate systems; nonlinear processing; signal detection; signal processing; subpixel targets; target detection; target tracks; threatening targets; time sharing; white Gaussian noise; Arithmetic; Array signal processing; Detectors; Filtering theory; Filters; Monitoring; Multidimensional signal processing; Multidimensional systems; Object detection; Target tracking;
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on