相位编码信号的优化设计及脉压副瓣抑制方法研究
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摘要
脉冲压缩是现代雷达的一种重要体制。随着现代武器和现代飞行技术的发展,对雷达的作用距离、分辨力和测量精度等性能指标提出了越来越高的要求。而脉冲压缩有效地解决了雷达距离分辨力与平均功率之间的矛盾,并在现代雷达中广泛应用。文中首先综述了数字脉冲压缩的优点及其实现方法,接着讨论了相位编码信号的特点,并详细分析了巴克码和m序列这两类典型的二相码信号。最后,我们结合某型雷达,以64相码信号为例,说明了遗传优化算法在编码搜索中的优越性,并采用了迭代加权最小二乘算法来设计失配滤波器以达到相位编码信号的优化副瓣抑制目的,且给出了相应的仿真结果。同时我们还将迭代加权最小二乘算法推广应用于其它信号形式的脉冲压缩滤波器设计,并提出了有关多普勒频率性能的改善方法。
Pulse compression is one of the most important systems in modern radars. With modern weapon and modern wingmanship being developed, the higher performance of the radar, such as action range, resolution, measure precision and so on, are required. Pulse compression effectively solves the contradiction between the range resolution and the average power of the radar, and is widely applied in modern radars. At first the merits and implementation of the digital pulse compression subsystem are introduced in this paper. Then the characteristics of phase coded signals are discussed and the two classic binary phase codes ——Barker code and m-sequence are dealt with in details in the following. Secondly, with combination of a certain type of radar, the application of genetic algorithm to optimum code selection and the iteratively reweighted least-square mismatched filter design for sidelobe reduction are discussed. The favorable experimental results are obtained, especially for 64 phase code. On the other hand, the IRLS algorithm is employed to design mismatched filters for other signals, such as linear frequency modulated Chirp. The methods of improving tolerance of low Doppler shifts are given finally.
引文
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