Optimization of multi-target traffic radar algorithm based on CFAR detection and swing angle self-correction

Autor: Cao Lin, Yu Lin, Wang Dongfeng, Li Huanan
Jazyk: čínština
Rok vydání: 2018
Předmět:
Zdroj: Dianzi Jishu Yingyong, Vol 44, Iss 1, Pp 68-71 (2018)
Druh dokumentu: article
ISSN: 0258-7998
DOI: 10.16157/j.issn.0258-7998.172160
Popis: The research and optimization of multi-target detection algorithm based on FSK system for multi-target traffic radar is presented in this paper. In the multi target detection, the CFAR detection method is used to set the adaptive detection threshold for processing. At the same time, the radar swing angle self-correction algorithm based on the statistical characteristics of the samples is used to improve the radar target detection rate and the scene adaptability for the problem of system performance degradation caused by the radar swing angle. The actual road test shows that the effective capture rate of multi lane and multi target is 95%, and it has good multi-target monitoring effect. It has great practical significance for the popularization and application of multi-target traffic radar.
Databáze: Directory of Open Access Journals