[1]蔡倩,汪飞,张焕春,等.基于最小模的目标散射中心参量快速提取[J].南京理工大学学报(自然科学版),2010,(04):503-507.
 CAI Qian,WANG Fei,ZHANG Huan-chun.Fast Parameter Extraction of Target Scattering Centers Based on Mini-norm[J].Journal of Nanjing University of Science and Technology,2010,(04):503-507.
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基于最小模的目标散射中心参量快速提取
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《南京理工大学学报》(自然科学版)[ISSN:1005-9830/CN:32-1397/N]

卷:
期数:
2010年04期
页码:
503-507
栏目:
出版日期:
2010-08-31

文章信息/Info

Title:
Fast Parameter Extraction of Target Scattering Centers Based on Mini-norm
作者:
蔡倩;汪飞;张焕春;
南京航空航天大学自动化学院
Author(s):
CAI Qian1WANG Fei2ZHANG Huan-chun1
1.College of Automation Engineering;2.College of Information Science and Technology,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,China
关键词:
散射中心 最小模 传播因子
Keywords:
scattering centers mini-norm propagation factors
分类号:
TN957.51
摘要:
针对光学区雷达目标散射中心参量的快速提取,提出用特征值分解的最小模方法、传播因子和最小模相结合的方法,提高散射中心参量的估计效率。特征值分解的最小模方法在减少计算量的同时能获得类似多重信号分类算法的性能,在信噪比较低时仍然有效;传播因子方法比特征值分解快,在信噪比较高时,它和最小模方法结合能取得更快的搜索效率。仿真实验结果表明该文算法几乎不影响参量的估计精度,且能有效地提高参量估计效率。
Abstract:
For fast parameter extraction of target scattering centers in optical region,this paper proposes to use a mini-norm method based on eigenvalue decomposition or propagation factor to improve parameter estimation efficiency of scattering centers.The mini-norm method based on eigenvalue decomposition can decrease computational loads and achieve estimation performances similar to the multiple signal classification algorithm,which works even when SNR is low.The propagation factor method is faster than eigenvalue decomposition method and the mini-norm method based on propagation factor is more effective with high SNR.Simulation results show that the proposed algorithm can improve parameter estimation efficiency and keep parameter estimation accurate.

参考文献/References:

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备注/Memo

备注/Memo:
基金项目: 江苏省??六大人才高峰??计划资助项目( A 类) ( P0952- 041) 作者简介: 蔡倩( 1964- ), 女, 硕士, 副教授, 主要研究方向: 计算机测控、信号处理, E-mail:cqzj@j nuaa.edu.cn。
更新日期/Last Update: 2012-11-02