Abstract: As Pulsed-Doppler radars can detect target from background of very large clutter beam,they have been widely used.But there are unavoidably blind regions in range and velocity.So,a set of PRFs need to be selected to resolve ambiguity.Immune Genetic Algorithm（IGA） is based on immune theory.It’s the improvement of GA,and conquers GA’s disadvantage such as：premature,low efficiency of perform and less individual diversity.This paper selects multiple PRFs using IGA,based on real coding.The experiment shows that this method turns out to be convenient for coding and finding optimal solutions more accurately than general GA.

Key words: Immune Genetic Algorithm（IGA）, Pulsed-Doppler radar, blind region

摘要： 多普勒雷达能够在较强的杂波背景中检测目标,被广泛应用,但它既存在距离模糊,又存在速度模糊,需要在巨大的解空间中选择一组重复频率解模糊。免疫遗传算法是基于免疫原理,对遗传算法的改进,它克服了遗传算法易早熟、搜索效率低、不能很好保持个体的多样性等缺点。运用基于实数编码的免疫遗传算法来选择多重中脉重复频率。实验表明该方法便于编码,比基本的遗传算法能更快更准确地找到满意解。

关键词: 免疫遗传算法, 脉冲多普勒雷达, 盲区