基于占空比先验信息的减少重频分频最大公约数算法
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摘要
为了解决减少重频分频最大公约数算法在分频数不互质情况下不能正确计算真实重频值的问题,提出了基于已知占空比信息的减少重频分频最大公约数算法.首先,构建了减少重频分频的最大公约数算法的数学模型,利用该数学模型分析并得出通过合理地确定分频数范围可以在分频数不互质情况下正确计算真实重频值;其次,设计了利用占空比确定分频数范围的方法,并构建了基于已知占空比信息的减少重频分频最大公约数算法.数值分析表明所提出的算法能够在分频数不互质情况下正确计算真实重频值,并且具有较好的鲁棒性.
A greatest common divisor(GCD)algorithm for reducing pulse repetition frequency(PRF)division based on duty circle information is proposed to solve the problem that the original GCD algorithm cannot correctly deal with the case when PRF divisions numbers are not co-prime.Firstly,the mathematical model of the GCD algorithm for reducing PRF division is constructed,and by use of this model an analysis is made and it is concluded that by means of the proper determination of the range of PRF divisions numbers,the true repetition frequency value can be correctly worked out when the PRF division numbers are not co-prime numbers;Secondly,a method for determining the range of frequency division numbers is designed based on duty circle and a GCD algorithm for reducing PRF division based on duty circle prior information is proposed.Numerical analysis finds that the proposed algorithm can correctly work out the true repetition frequency value when PRF divisions numbers are not co-prime,with a rather satisfactory robustness.
A greatest common divisor(GCD)algorithm for reducing pulse repetition frequency(PRF)division based on duty circle information is proposed to solve the problem that the original GCD algorithm cannot correctly deal with the case when PRF divisions numbers are not co-prime.Firstly,the mathematical model of the GCD algorithm for reducing PRF division is constructed,and by use of this model an analysis is made and it is concluded that by means of the proper determination of the range of PRF divisions numbers,the true repetition frequency value can be correctly worked out when the PRF division numbers are not co-prime numbers;Secondly,a method for determining the range of frequency division numbers is designed based on duty circle and a GCD algorithm for reducing PRF division based on duty circle prior information is proposed.Numerical analysis finds that the proposed algorithm can correctly work out the true repetition frequency value when PRF divisions numbers are not co-prime,with a rather satisfactory robustness.
引文
[1]阿达米.电子战原理与应用[M].王燕,译.北京:电子工业出版社,2011.
[2]郑惠文,黄建冲.基于时差累积的雷达信号分选方法[J].电子信息对抗技术,2017,32(1):1-7.
[3]舒托,杨志霞.基于张量核范数的支持张量机[J].内江师范学院学报,2017,32(10):34-39.
[4]袁泽恒,田润澜,袁如月.一种新的雷达信号脉内分选方法[J].航天电子对抗,2018,34(5):24-28.
[5]陈恒,张友益,王玉梅.基于融合算法的多参数雷达信号分选[J].舰船电子工程,2018,38(9):66-70.
[6]郑惠文,黄建冲.基于时差累积的雷达信号分选方法[J].电子信息对抗技术,2017,32(1):1-7.
[7]王杰,董昕.基于相参性的雷达信号分选改进算法[J].空军预警学院学报,2016,30(6):395-398.
[8]张德交.常见雷达信号分选算法研究[J].哈尔滨商业大学学报:自然科学版,2017,33(5):577-580.
[9]丁兴军,王星宇.一种基于脉冲重频跟踪的信号分选方法[J].舰船电子对抗,2016,39(2):67-70.
[10]翁国秀,徐学红.基于时频单源点检测的雷达信号的盲分选[J].重庆邮电大学学报:自然科学版,2017,29(1):42-48.
[11]刘高辉,周熊.复杂电磁环境下基于信号稀疏表示的干扰抑制与通信信号重构方法[J].计算机系统应用,2018,27(11):149-154.
[12]舒鹏云.减少重频分频的最大公约数算法[J].舰船电子对抗,2015,38(3):1-7.
[13]贺平.雷达对抗原理[M].北京:国防工业出版社,2016.
[14]司光亚,王飞,李聪.基于交互网测量的武器装备体系鲁棒性分析[J].系统工程与电子技术,2017,39(7):1506-1512.
[15]曾强,阿都建华,周钦.基于B-SURF算法的图像运动估计[J].内江师范学院学报,2019,34(2):51-56.
[2]郑惠文,黄建冲.基于时差累积的雷达信号分选方法[J].电子信息对抗技术,2017,32(1):1-7.
[3]舒托,杨志霞.基于张量核范数的支持张量机[J].内江师范学院学报,2017,32(10):34-39.
[4]袁泽恒,田润澜,袁如月.一种新的雷达信号脉内分选方法[J].航天电子对抗,2018,34(5):24-28.
[5]陈恒,张友益,王玉梅.基于融合算法的多参数雷达信号分选[J].舰船电子工程,2018,38(9):66-70.
[6]郑惠文,黄建冲.基于时差累积的雷达信号分选方法[J].电子信息对抗技术,2017,32(1):1-7.
[7]王杰,董昕.基于相参性的雷达信号分选改进算法[J].空军预警学院学报,2016,30(6):395-398.
[8]张德交.常见雷达信号分选算法研究[J].哈尔滨商业大学学报:自然科学版,2017,33(5):577-580.
[9]丁兴军,王星宇.一种基于脉冲重频跟踪的信号分选方法[J].舰船电子对抗,2016,39(2):67-70.
[10]翁国秀,徐学红.基于时频单源点检测的雷达信号的盲分选[J].重庆邮电大学学报:自然科学版,2017,29(1):42-48.
[11]刘高辉,周熊.复杂电磁环境下基于信号稀疏表示的干扰抑制与通信信号重构方法[J].计算机系统应用,2018,27(11):149-154.
[12]舒鹏云.减少重频分频的最大公约数算法[J].舰船电子对抗,2015,38(3):1-7.
[13]贺平.雷达对抗原理[M].北京:国防工业出版社,2016.
[14]司光亚,王飞,李聪.基于交互网测量的武器装备体系鲁棒性分析[J].系统工程与电子技术,2017,39(7):1506-1512.
[15]曾强,阿都建华,周钦.基于B-SURF算法的图像运动估计[J].内江师范学院学报,2019,34(2):51-56.