摘要
基于反辐射无人机的时域鉴别技术,提出了一种以小波分析为手段的前沿判别法。将被动雷达导引头使用固定波门对脉冲前沿进行采样所得的信号作小波分析,对分析结果进行判定,当判定采样信号内为单辐射源信号时对其进行测向、测频、跟踪和打击。针对两点源诱偏系统分析表明,在大部分空域中,反辐射无人机总是能首先跟踪诱饵信号。通过建模与仿真,验证了前沿判别法能够有效对抗两点源诱偏系统,并由固定波门得到了有效的判别空域。
According to time discrimination technique of anti-radiation unmanned aerial vehicle（ARUAV）, the article puts forward pulse leading-edge distinguish technique by wavelet analysis. The passive radar seeker（PRS） uses fixed strobe gate to sample the pulse leading-edge, and analyze it using wavelet. After the analysis result verifies that the sample includes only single radiation source, the PRS can measure the sample signal direction and its frequency, track the sample signal, and attack the source target. Aiming at two radiation sources system, the analysis shows that the PRS can track decoy signal firstly in most position of the airspace. Modeling and simulations verify that the pulse leading-edge distinguishing technique can effectively counter two radiation sources system, and find effective discretion area from the fixed strobe gate.
出处
《指挥控制与仿真》
2012年第4期50-54,共5页
Command Control & Simulation
