Low-level signal detection using a new transform class
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.
- Publication:
-
IEEE Transactions on Aerospace Electronic Systems
- Pub Date:
- July 1975
- DOI:
- 10.1109/TAES.1975.308123
- Bibcode:
- 1975ITAES..11..582E
- Keywords:
-
- Digital Integrators;
- Frequency Response;
- Random Noise;
- Signal Detection;
- Transformations (Mathematics);
- Algorithms;
- Computer Techniques;
- Cost Effectiveness;
- Fast Fourier Transformations;
- Signal Processing;
- System Effectiveness;
- Communications and Radar