基于模拟退火算法的低旁瓣最大长度序列设计
Searching low sidelobes maximal length sequence based on simulated an-nealing algorithm
肖芷诺1
作者信息
摘要
在雷达系统探测中,为了降低噪声干扰和提高雷达探测的能力,需要低自相关旁瓣的序列.最大长度序列(MLS)是通过线性反馈移位寄存器(LFSR)产生的,周期自相关性较好,但非周期自相关函数旁瓣较高.文章以寄存器所产生MLS的优点因子(MF)作为 目标函数,利用模拟退火算法来寻找初始化寄存器最优值,并且使目标函数最大化.MAT-LAB仿真实验表明,基于模拟退火算法寻找的寄存器最优值,其所产生的最大长度序列的优点因子比初始化的优点因子更高,即非周期自相关旁瓣降低.
Abstract
In radar system detection,in order to reduce noise interference and improve radar de-tection capability,low auto-correlation side-lobe sequences are needed.The maximum length se-quences is generated by the linear feedback shift register,and the periodic auto-correlation is bet-ter,but the aperiodic auto-correlation function side-lobe is higher.In this paper,the merit factors of the register-generated MLS is taken as the objective function,and the simulated annealing al-gorithm is used to find the optimal value of the initializing register and maximize the objective function.The MATLAB simulation experiment shows that the merit factors of the MLS genera-ted by the optimal value of the register based on the simulated annealing algorithm is higher than that of the initialization,that is,the aperiodic auto-correlation side-lobe decreases.
关键词
最大长度序列/优点因子/模拟退火算法Key words
The maximum length sequences/merit factors/simulated annealing algorithm引用本文复制引用
出版年
2024
NETL
NSTL
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