Target Detection and Interference Mitigation in Future AI-Based Radar Systems
- Resource Type
- Conference
- Authors
- Deng, Hai; Himed, Braham
- Source
- 2021 IEEE Radar Conference (RadarConf21) Radar Conference (RadarConf21), 2021 IEEE. :1-4 May, 2021
- Subject
- Aerospace
General Topics for Engineers
Signal Processing and Analysis
Radar clutter
Conferences
Radar detection
Object detection
Nonhomogeneous media
Artificial intelligence
Clutter
radar detection
interference mitigation
artificial intelligence (AI)
inhomogeneous clutter
- Language
- ISSN
- 2375-5318
A new target detection and interference mitigation approach is proposed for future artificial intelligence (AI) - based radar. Targets in AI radar systems are detected based on target and interference classification without removing interference, in contrast to interference cancelation processing in traditional radar target detection approaches. The general AI target detection approach is presented and demonstrated to be more robust and effective in target detection in unknown environments.