Performance Analysis of MUSIC and Capon DOA Estimation Algorithms in Cognitive Radio Networks

被引：1

作者：

Nastase, Cosmina-Valentina ^{[1
]}

Fratu, Octavian ^{[1
]}

Martian, Alexandru ^{[1
]}

Marghescu, Ion ^{[1
]}

机构：

[1] Univ Politehn Bucuresti, Telecommun Dept, Iuliu Maniu 1-3, Bucharest 061071, Romania

来源：

FUTURE ACCESS ENABLERS FOR UBIQUITOUS AND INTELLIGENT INFRASTRUCTURES | 2015年 / 159卷

关键词：

DOA; Cognitive network; MUSIC; Capon;

D O I：

10.1007/978-3-319-27072-2_18

中图分类号：

TN [电子技术、通信技术];

学科分类号：

0809 ;

摘要：

Many spectrum sensing algorithms have as a purpose determining if the primary users (PUs) are present or absent, by using statistical signal characteristics. However, for a better management of a cognitive network, additional information about PUs, such as their position, is required. Motivated by these requirements, this paper investigate the performance of MUSIC and Capon algorithms in Cognitive Radio networks context and show that the MUSIC algorithm is highly accurate and stable while also providing a high angular resolution compared to the Capon algorithm.

引用

页码：142 / 148

页数：7

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