A new philosophy for optimising radar detection
Abstract
Radar detection problems are presently studied with the aim of maximizing detection probability under the constraint of maintaining false alarm probability at a specified value. Present day radars are meant not only for detecting multiple targets but also for automatically tracking them. It is shown that this conventional philosophy is inadequate for optimizing tracking performance. It is also not directed towards efficient utilization of a priori information provided by the track updatement filter. This paper presents a new and comprehensive philosophy for jointly optimizing detection and tracking.
- Publication:
-
International Radar Symposium
- Pub Date:
- October 1983
- Bibcode:
- 1983rad..symp..222N
- Keywords:
-
- Bayes Theorem;
- Clutter;
- Computerized Simulation;
- Optimization;
- Radar Detection;
- Radar Tracking;
- Algorithms;
- Kalman Filters;
- Signal To Noise Ratios;
- Communications and Radar