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机构地区:[1]海军司令部导航中心,天津300000 [2]海军航空工程学院海军战术导弹重点实验室,山东烟台264001 [3]中船重工天津航海仪器研究所,天津300131
出 处:《信息与电子工程》2009年第6期566-568,共3页information and electronic engineering
摘 要:由于超低空导弹在海杂波背景下工作,其引信的信号检测易受干扰,而传统的信号处理方法效果不佳。利用小波变换有多分辨分析的特性,可以有效滤除杂波带来的噪声,然后根据回波信号频率,辨别真假目标。仿真基于雷达引信实测数据,实验结果表明,对原始信号进行四阶小波分解的方法能够有效滤除大部分噪声信号,从而提高了超低空导弹引信抗海杂波干扰能力和导弹毁伤概率。Because the extra-low-altitude missile works in the background of sea clutter, its fuse signal will be jammed easily. Nevertheless, the traditional signal processing methods behave badly. Wavelet transform has the multi-resolution rate characteristic, which can filter the noises in the clutter signal and improve the precision of the fuse machine, therefore the real object will be identified according to the echo frequency. The simulation in this paper was based on the testing data of radar fuses. And the results indicated that after the fourth-order wavelet decomposition, this algorithm could effectively filter most of the noises. So that it can promote the anti-sea-clutter-interference capacity of the extra-low- altitude radar fuse and the kill probability of the missile.
分 类 号:TJ430.6[兵器科学与技术—火炮、自动武器与弹药工程]
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