Estimation of near-field parameters using spatial time-frequency distributions

被引：0
|
作者：
Cirillo, Luke A. [1 ]
Zoubir, Abdelhak M. [1 ]
Amin, Moeness G. [2 ]
机构：
[1] Tech Univ Darmstadt, Merckstr 25, D-64283 Darmstadt, Germany
[2] Villanova Univ, Villanova, PA 19085 USA
来源：
2007 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOL III, PTS 1-3, PROCEEDINGS | 2007年
关键词：
array signal processing; time-frequency analysis; direction of arrival estimation; radar measurements;
D O I：
暂无
中图分类号：
O42 [声学];
学科分类号：
070206 ; 082403 ;
摘要：
This work deals with the estimation of near-field parameters using passive sensor arrays. A transformation of the array data is proposed which allows the extraction of near-field time-frequency signatures from data containing a mixture of far- and near-field sources. Spatial time-frequency distribution matrices are then used as a means for solving the near-field parameter estimation problem. The estimation accuracy of the proposed approach is compared to existing methods via simulation analysis. An experimental validation of theoretical ideas is also presented.
引用
收藏
页码：1141 / +
页数：3
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