Suppressing Autocorrelation Sidelobes of LFM Pulse Trains with Genetic Algorithm  

作　　者：王鹏 孟华东 王希勤 

机构地区：[1]Intelligent Transportation Information Systems Laboratory,Department of Electronic Engineering,Tsinghua University

出　　处：《Tsinghua Science and Technology》2008年第6期800-806,共7页清华大学学报（自然科学版（英文版）

摘　　要：Modulations and diversities, including the Costas-ordered stepped-frequency and nonlinear stepped-frequency waveforms are widely used in linear frequency modulation （LFM） pulse trains to reduce the relatively high autocorrelation function （ACF） sidelobes. An efficient method was developed to optimize the interpulse frequency modulation to remove most of the ACF sidelobes about the mainlobe peak, with only a small increase in the mainlobe width. The genetic algorithm is used to solve the nonlinear optimization problem to find the interpulse frequency modulation sequence. The effects on the ACF sidelobes suppression and mainlobe widening are studied. The results show that the new design is superior to the corresponding stepped-frequency LFM signal and weighted stepped-frequency LFM signal in the terms of the ACF sidelobes reduction and mainlobe spread.Modulations and diversities, including the Costas-ordered stepped-frequency and nonlinear stepped-frequency waveforms are widely used in linear frequency modulation （LFM） pulse trains to reduce the relatively high autocorrelation function （ACF） sidelobes. An efficient method was developed to optimize the interpulse frequency modulation to remove most of the ACF sidelobes about the mainlobe peak, with only a small increase in the mainlobe width. The genetic algorithm is used to solve the nonlinear optimization problem to find the interpulse frequency modulation sequence. The effects on the ACF sidelobes suppression and mainlobe widening are studied. The results show that the new design is superior to the corresponding stepped-frequency LFM signal and weighted stepped-frequency LFM signal in the terms of the ACF sidelobes reduction and mainlobe spread.

关 键 词：coherent train autocorrelation function （ACF） sidelobes suppression genetic algorithm （GA） performance improvement 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] TN957.51[自动化与计算机技术—控制科学与工程]