摘要
为抑制高频地波雷达电台干扰,提出用线性极化变换(LPVT)、非线性极化变换(NLPVT)和多凹口逻辑积极化(MLP)滤波相结合进行极化处理的方法。通过减小干扰极化状态的散落区域,降低干扰散落中心的不确定性,有效提高了滤波器性能。为实现实时处理,利用改进的多凹口逻辑积极化滤波算法解决了处理速度和凹口数量之间的矛盾。结合实际录取的高频雷达电台干扰数据,通过仿真实验证明该方法的有效性。实际雷达数据处理结果表明该方法可使信干比改善20dB以上。
To suppress the radio disturbance of high frequency surface wave radar (HFSWR), a method of polarization signal processing is proposed, which integrates polarization-vector translation (LPVT), nonlinear polarization-vector translation (NLPVT) and multinotch logic-product polarization (MLP) filtering together. Through reducing the area of spread of disturbance in polarization space, the indefiniteness of the disturbance scattering center decreases, and the filter performance is improved effectively. Then, to achieve the real time signal processing, an improved MLP algorithm is put forward to resolve the inconsistency between processing speed and notches number. Combined with the experimental data of radio disturbance of the HFSWR, an example of simulation demonstrates the effectiveness of this approach. It is indicated from the experimental data processing that the signal to interference ratio (SIR) can be improved over 2 dB.
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2005年第2期225-228,共4页
Systems Engineering and Electronics
基金
哈尔滨工业大学(威海)校基金资助课题(HIT(WH) 2003 28)
关键词
高频地波雷达
极化滤波
电台
干扰抑制
high frequency surface wave radar
polarization filtering
radio
interference suppression