电讯技术2016，Vol.56Issue(9)：1029-1033,5.DOI:10.3969/j.issn.1001-893x.2016.09.014
知识辅助的两级自适应抗干扰技术
Knowledge-aided Two-stage Adaptive Anti-jamming Technology
雷俊科 1李锐洋 2雷浩3
作者信息
- 1. 西安科技大学 电气与控制工程学院，西安710054
- 2. 电子科技大学 电子工程学院，成都611731
- 3. 中国移动通信集团陕西有限公司，西安710075
- 折叠
摘要
Abstract
Airborne radar usually works in complex electromagnetic environment with strong clutter and strong jamming. How to eliminate the interference and suppress clutter is one of the key issues. Traditional two-stage space-time adaptive processing ( STAP ) method collects signal in the quiet period to acquire jamming subspace while suppress interference at the starting period using space projection technique. Al-though the algorithm has good effect when interference is stable,in the actual application,complex jamming environment will damage the generalized stationary hypothesis. Therefore,using only a single silent period interference samples may not estimate the covariance matrix accurately. To solve this problem,a method for collecting interference signals in several silent period to estimate the current jamming covariance matrix to improve the estimation accuracy is proposed. The simulation results show that even the jamming informa-tion collected in the current silent period is not complete,the interference covariance matrix can still be ac-curately estimated using previous jamming information.关键词
机载雷达/基于知识的干扰抑制/空时自适应处理/贝叶斯滤波Key words
airborne radar/knowledge-based interference suppression/space-time adaptive processing ( STAP)/Bayesian filtering分类
信息技术与安全科学引用本文复制引用
雷俊科,李锐洋,雷浩..知识辅助的两级自适应抗干扰技术[J].电讯技术,2016,56(9):1029-1033,5.
