算法
自适应滤波器
投影(关系代数)
雷达
变量(数学)
计算机科学
噪音(视频)
Dykstra投影算法
自适应算法
滤波器(信号处理)
主动噪声控制
雷达系统
空时自适应处理
投影法
数学
信号(编程语言)
降噪
均方误差
计算复杂性理论
反投影
鉴定(生物学)
信号处理
系统标识
雷达跟踪器
作者
Li Haorui,Gao Ying,Guo Xin-yu,Ou Shifeng
出处
期刊:DOAJ: Directory of Open Access Journals - DOAJ
日期:2025-08-01
标识
DOI:10.16356/j.1005-1120.2025.04.006
摘要
The adaptive filtering algorithm with a fixed projection order is unable to adjust its performance in response to changes in the external environment of airborne radars. To overcome this limitation, a new approach is introduced, which is the variable projection order Ekblom norm-promoted adaptive algorithm (VPO-EPAA). The method begins by examining the mean squared deviation (MSD) of the EPAA, deriving a formula for its MSD. Next, it compares the MSD of EPAA at two different projection orders and selects the one that minimizes the MSD as the parameter for the current iteration. Furthermore, the algorithm’s computational complexity is analyzed theoretically. Simulation results from system identification and self-interference cancellation show that the proposed algorithm performs exceptionally well in airborne radar signal self-interference cancellation, even under various noise intensities and types of interference.
科研通智能强力驱动
Strongly Powered by AbleSci AI