[an error occurred while processing this directive] [an error occurred while processing this directive] [an error occurred while processing this directive]
[an error occurred while processing this directive]

弹箭与制导学报 >

2015 , Vol. 35 >Issue 5: 191 - 194

DOI: https://doi.org/10.15892/j.cnki.djzdxb.2015.05.044

相关技术

基于GSO-IMUISC算法的低空目标波达方向估计

  • 周豪 ,
  • 胡国平 ,
  • 汪云
展开
  • 空军工程大学防空反导学院,西安 710051

周豪(1990-),男,河南南阳人,硕士研究生,研究方向:低空目标探测。

收稿日期: 2014-11-24

  网络出版日期: 2025-05-28

收起

DOA Estimation of Low Altitude Target Based on GSO-IMUISC Algorithm

  • ZHOU Hao ,
  • HU Guoping ,
  • WANG Yun
Expand
  • Air and Missile Defense College, Air Force Engineering University, Xi'an 710051, China

Received date: 2014-11-24

  Online published: 2025-05-28

Fold

摘要

针对低空多径干扰下多重信号分类算法(MUSIC)角度估计精度不理想和谱峰搜索运算量大的问题,提出基于萤火虫算法的改进MUSIC算法(GSO-IMUSIC)。通过将接收信号协方差矩阵重构为Toeplitz矩阵消除多径相干影响,分析采用小生境遗传算法(NGA)、粒子群算法(PSO)降低运算量的不足,利用萤火虫算法(GSO)搜索空间谱函数峰值。仿真结果表明,与NGA-MUSIC和PSO-MUSIC算法相比,在降低运算量的同时,GSO-IMUSIC算法能较好克服多径干扰,角度估计精度更高。

关键词： 多径; 多重信号分类算法; 萤火虫算法; 波达方向

本文引用格式

周豪 , 胡国平 , 汪云 . 基于GSO-IMUISC算法的低空目标波达方向估计[J]. 弹箭与制导学报, 2015 , 35(5) : 191 -194 . DOI: 10.15892/j.cnki.djzdxb.2015.05.044

Abstract

Regarding the problems that angle estimation accuracy of multiple signal classification algorithms (MUSIC) is not ideal under low altitude multipath interference and the calculation amount of spectral peak searching is large, the improved MUSIC algorithm based on glowworm swarm optimization (GSO-IMUSIC) was put forward. The covariance matrix of the received signal was refactories to Toeplitz matrix to eliminate the multipath interference. The disadvantages of niched genetic algorithm (NGA) and particle swarm optimization (PSO) used to reduce the calculation amount were analyzed. The glowworm swarm optimization (GSO) was used to search peaks of spectrum function. The simulation results suggest that, compared with NGA-MUSIC and PSO-MUSIC algorithm, while reducing the amount of calculation, the GSO-IMUSIC algorithm can also overcome multipath interference, and the angle estimation is more accurate.

Key words： multipath; MUSIC; GSO algorithm; DOA

[an error occurred while processing this directive]

参考文献

[1]
刘俊, 刘峥, 刘韵佛. 米波雷达仰角和多径衰减系数联合估计算法[J]. 电子与信息学报, 2011, 33 (1): 33-37.
[2]
张小飞, 汪飞, 徐大专. 阵列信号处理的理论和应用[M]. 北京: 国防工业出版社, 2010.
[3]
侯姗姗, 谢庆, 廖峰. 基于超声阵列传感器与遗传 MUSIC 的局放源波达方向估计[J]. 电测与仪表, 2014, 51 (5): 11-14.
[4]
赵远东, 汪怡. 基于均分法的小生境遗传算法[J]. 南京信息工程大学学报:自然科学版, 2013, 5 (6): 553-556.
[5]
陈彦龙, 张培林, 李胜, 等. 面向多峰函数的自适应小生境量子进化算法[J]. 系统工程与电子技术, 2014, 36 (2): 403-408.
[6]
李俊武, 俞志富. 改进粒子群算法在DOA估计中的应用[J]. 计算机工程与应用, 2013, 49 (9): 203-206.
[7]
刁呜, 袁熹, 高洪元, 等. 一种新的基于粒子群算法的DOA 跟踪方法[J]. 系统工程与电子技术, 2009, 31 (9): 2046-2049.
[8]
赵大勇, 袁熹, 高洪元. 应用粒子群算法的动态目标DOA 估计[J]. 哈尔滨工程大学学报, 2009, 30 (7): 844-846.
[9]
ZHAO Guanghui, SHI Guangming. Altitude measurement of low elevation target based on iterative subspace projection[J]. IEEE Transactions on Aerospace And Electronic Systems, 2011, 47 (2): 1256-4263.
[10]
雷英杰, 张善文, 李续武, 等. Matlab 遗传算法工具箱及应用[M]. 西安: 西安电子科技大学出版社, 2005.
[11]
Krishnand KN, Ghose D. Glowworm swarm optimization for simultaneous capture of multiples local optima of multimodal functions[J]. Swarm Intelligence, 2009, 3 (2): 87-124.
[12]
黄正新. 人工萤火虫群优化算法分析改进及应用研究[D]. 南宁: 广西民族大学, 2011.
Options
文章导航

/

〈 〉

[an error occurred while processing this directive]