Title :
Low-Level Signal Detection Using a New Transform Class
Author :
Elliott, Douglas F.
Author_Institution :
Autonetics Division, Rockwell International Anaheim, Calif. 92803
fDate :
7/1/1975 12:00:00 AM
Abstract :
A system is developed to detect tracks crossing two-dimensional noise fields. This is accomplished by filtering and integration of signal power in the frequency domain of a new class of generalized transforms which include the FFT and FBT as limiting forms. If the track is essentially parallel to a transform axis and if filters are derived from hard-limited linear approximations to tracks, the FBT offers considerable hardware economy over the FFT in the mechanization algorithm.
Keywords :
Background noise; Discrete transforms; Filters; Flyback transformers; Frequency domain analysis; Hardware; Radar detection; Radar tracking; Signal detection; Space vehicles;
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
DOI :
10.1109/TAES.1975.308123