DOA hstimation of Near-Field Sources Using Support Vector Regression

被引：0

作者：

Venkateswaran, N. ^{[1
]}

Ashok, C. ^{[2
]}

机构：

[1] SSN Coll Engn, Dept Elect & Commun Engn, Madras 603110, Tamil Nadu, India

[2] St Josephs Coll Engn, Dept Elect & Commun Engn, Madras 600119, Tamil Nadu, India

来源：

PROCEEDINGS OF THE 2016 IEEE REGION 10 CONFERENCE (TENCON) | 2016年

关键词：

Direction Of Arrival (DOA); Support Vector Regression (SVR); Near field sources; SMART ANTENNA; NETWORKS; ARRIVAL;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The problem of estimating the DOAs of multiple near field sources is resolved using SVR method. The proposed approach computes the DOAs from a nonlinear mapping function, which relates the received signal with its associated DOAs. The nonlinear mapping function is approximated by support vector regression (SVR) model. The proposed novel method yields better performance in comparison with the existing methods such as Generalized ESPRIT (GESPRIT), proposed for near field source localization.

引用

页码：1570 / 1574

页数：5

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