首页 | 本学科首页   官方微博 | 高级检索  
     

有色随机噪声背景下互谱TLS-ESPRIT估计方法
引用本文:张化勋. 有色随机噪声背景下互谱TLS-ESPRIT估计方法[J]. 红外技术, 2006, 28(9): 512-514. DOI: 10.3969/j.issn.1001-8891.2006.09.004
作者姓名:张化勋
作者单位:长春大学电子信息工程学院,吉林,长春,130021
摘    要:现代互谱估计是抑制有色观测噪声的一种有效方法.对旋转不变技术估计信号参量的方法进行了深入的分析,并进而提出了有色声随机信号背景下互谱TLS-ESPRIT估计方法.这种方法的突出特点是几乎不需要任何色噪声的先验信息,并在很低信噪比下工作,避免了以往互谱估计本身所固有的在整个频域上的谱峰搜索,可直接通过特征值确定信号参数估计值.此方法只需两次SVD分解,计算量大大降低.仿真结果表明,该方法具有较好的谱估计分辨率和良好的稳定性.

关 键 词:估计  有色随机噪声  奇异值分解
文章编号:1001-8891(2006)09-0512-03
收稿时间:2005-12-27
修稿时间:2005-12-27

Cross-Spectral TLS-ESPRIT Estimating Method in Colored Stochastic Noise
Cross-Spectral TLS-ESPRIT Estimating Method in Colored Stochastic Noise[J]. Infrared Technology , 2006, 28(9): 512-514. DOI: 10.3969/j.issn.1001-8891.2006.09.004
Authors:ZHANG Hua-xun
Affiliation:Electric Information Institute Changchun Univ., Changchun Jilin 130012, China
Abstract:The modem cross-spectral estimation methods are effective to restrain colored observed noises. Based on further analysis of signal estimation for signal via rotational invariance techniques, a novel cross-spectral TLS-ESPRIT method in colored stochastic noise is proposed. It does not need any pre-knowledge about the colored noises and can work in very low SNR.The peak searching procedure inherent in previous cross-spectral estimation methods is eliminated and signal parameters can be obtained by eigenvalue. Two times SVD decomposition makes the computation greatly deduced. The simulation results show this method exhibits good spectral estimation resolution and stability.
Keywords:estimation   colored stochastic noise   singular value decomposition
本文献已被 CNKI 维普 万方数据 等数据库收录!
点击此处可从《红外技术》浏览原始摘要信息
点击此处可从《红外技术》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号