[1]杨 洁,苏 东,曾耀平.基于改进麻雀搜索算法的组网雷达功率控制[J].计算机技术与发展,2021,31(11):170-175.[doi:10. 3969 / j. issn. 1673-629X. 2021. 11. 028]
　YANG Jie,SU Dong,ZENG Yao-ping.Power Control of Netted Radar Based on Improved Sparrow Search Algorithm[J].,2021,31(11):170-175.[doi:10. 3969 / j. issn. 1673-629X. 2021. 11. 028]
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基于改进麻雀搜索算法的组网雷达功率控制()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
31
期数:
2021年11期
页码:
170-175
栏目:
应用前沿与综合
出版日期:
2021-11-10

文章信息/Info

Title:
Power Control of Netted Radar Based on Improved Sparrow Search Algorithm
文章编号:
1673-629X(2021)11-0170-06
作者:
杨 洁; 苏 东; 曾耀平
西安邮电大学 通信与信息工程学院,陕西 西安 710121
Author(s):
YANG Jie; SU Dong; ZENG Yao-ping
School of Communication and Information Engineering,Xi’an University of Posts and Telecommunications,Xi’an 710121,China
关键词:
组网雷达; 辐射功率; 麻雀搜索算法; 施里海尔截获因子; 互信息
Keywords:
netted radar; radiated power; sparrow search algorithm; Schleher interception factor; mutual information
分类号:
TP391. 9
DOI:
10. 3969 / j. issn. 1673-629X. 2021. 11. 028
摘要:
为了进一步优化目标跟踪模式下组网雷达系统的功率控制问题, 提出一种使用改进麻雀搜索算法( improved sparrow search algorithm, ISSA) 优化? 组网雷达辐射功率分配的方法。 ISSA 算法是基于鸟群算法迁徙行为中较强的搜索能力来增强麻雀算法觅食行为中较弱的搜索能力。 并以施里海尔 (Schleher) 截获因子为目标,以反向散射信号和估计的目标响应之间互信息(mutual information,MI) 的最小值和组网雷达系统总接收信噪比( signal-to-noise ration,SNR) 为约束,建立组网雷达功率优化模型并使用 ISSA 求解。 最后将 ISSA 算法、麻雀搜索算法( sparrow search algorithm,SSA) 和非线性规划遗传算法( nonlinear programming based on genetic algorithm,NPGA)等应用于组网雷达功率分配模型中。 仿真结果表明,使用 ISSA 算法的最大辐射功率比 NPGA 降低了 7. 05% ,平均截获因子降低了 8. 19% ,平均单次运行时间降低了53. 75% ,ISSA 算法能更好地优化组网雷达功率控制问题。
Abstract:
In order to further optimize the power control problem of the networked radar system in the target tracking mode,a method of using the improved sparrow search algorithm (ISSA) to solve the radiated power distribution of the networked radar is proposed. ISSA is based on the stronger search ability in the migratory behavior of the bird swarm algorithm to enhance the weak search ability in the foraging behavior of the sparrow algorithm. With Schleher interception factor as the target,and the minimum value of mutual information(MI) between the back scatter signal and the estimated target response and the total received signal-to-noise ratio (SNR) as the constraint,the power optimization model of the networked radar is established and solved by ISSA. Finally, ISSA, sparrow search algorithm (SSA) and nonlinear programming based on genetic algorithm? ?( NPGA) are applied to the networked radar power allocation model. The simulation shows that the maximum radiated power of ISSA is reduced by 7. 05% compared with NPGA, the average intercept factor is reduced by 8. 19% ,and the average single run time is reduced by 53. 75% . ISSA can better optimize the networked radar power control problem.
更新日期/Last Update: 2021-11-10