摘要
传统的匹配滤波只能将距离旁瓣压缩到一定的程度,因此可能出现强目标的旁瓣掩盖弱目标的情况。针对上述问题,该文提出了基于迭代思想和最大输出信噪比准则的自适应脉冲压缩方法,该方法利用先验目标距离像信息来实现自适应地抑制距离旁瓣和噪声。该文首先推导了算法原理,然后给出了算法的实现步骤,最后讨论了算法的收敛性及优化。仿真结果表明,该算法可以自适应地实现旁瓣抑制,并在多目标和运动目标的情况下能够实现有效的脉冲压缩。
Traditional matched filter couldonly suppress range sidelobes to a certain extent, so the weak target may be covered by the range sidelobes of the strong one. To solve this problem, adaptive pulse compression algorithm based on reiteration and maxim output signal-to-noise rate criteria is proposed. This algorithm uses the apriori information to adaptively suppress range sidelobes and noises. Algorithm steps are given according to the principle and convergence is also considered. Simulation results show that this algorithm could effectively suppress sidelobes and still works effectively under conditions of multiple taargets and moving target.
出处
《电子与信息学报》
EI
CSCD
北大核心
2009年第4期790-793,共4页
Journal of Electronics & Information Technology
关键词
雷达
脉冲压缩
自适应处理
最大输出信噪比
Radar
Pulse compression
Adaptive processing
Maximal signal-to-noise rate
