An examination of radar signal processing via non-parametric techniques
Abstract
An extensive analysis of radar signal-processing techniques has been accomplished through modeling the radar detection functions on a digital computer. The radar signals used as the input to the computer models were high-resolution digital recordings of actual weather clutter observed on an Airport Surveillance Radar. Four target-detection algorithms were studied, two of which were binary techniques and two of which were multilevel techniques. For both the binary and multilevel techniques, two classes of algorithms were studied: parametric and nonparametric. The parametric algorithms were of the mean-level type in which the presence of a target signal is based on a comparison of the signal amplitude with the mean level of adjacent areas. Nonparametric algorithms were of the rank-order type in which the presence of a target signal is based on the rank of the potential target-signal amplitude in relation to video amplitudes in adjacent areas. For both techniques, the rank-order types were found to provide slightly better detection in weather clutter than the mean-level types. The multilevel rank-order type was found to provide slightly better performances than the binary rank-order type, but not sufficient to be statistically significant.
- Publication:
-
International Radar Conference
- Pub Date:
- 1975
- Bibcode:
- 1975inra.conf..533V
- Keywords:
-
- Aircraft Detection;
- Digital Radar Systems;
- Radar Detection;
- Signal Processing;
- Surveillance Radar;
- Target Acquisition;
- Algorithms;
- Clutter;
- Digital Simulation;
- Optical Data Processing;
- Radar Targets;
- Rank Tests;
- Video Data;
- Communications and Radar