Performance Analysis of Primary User RSS/DoA Estimation and Localization in Cognitive Radio Networks Using Sectorized Antennas

被引：10
|
作者：
Wang, Jun [1 ]
Werner, Janis [2 ]
Valkama, Mikko [2 ]
Cabric, Danijela [1 ]
机构：
[1] Univ Calif Los Angeles, Dept Elect Engn, Los Angeles, CA 90095 USA
[2] Tampere Univ Technol, Dept Elect & Commun Engn, FI-33101 Tampere, Finland
来源：
IEEE WIRELESS COMMUNICATIONS LETTERS | 2014年 / 3卷 / 02期
基金：
美国国家科学基金会;
关键词：
Sectorized antennas; RSS/DoA estimation; passive localization; Stansfield algorithm; performance analysis;
D O I：
10.1109/WCL.2014.021314.140007
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this letter we present analytical performance evaluation of primary user (PU) RSS/DoA estimation and localization through cooperating cognitive radios (CRs). We assume that the CRs are equipped with sectorized antennas, an antenna model we use to describe different types of directional antennas with a low hardware overhead (e.g. only a single RF front-end). We first derive the bias and mean square error (MSE) of RSS and DoA estimates based on the simplified least square (SLS) algorithm. We then proceed to derive the theoretical MSE of PU localization using the Stansfield algorithm that fuses SLS estimates from multiple nodes. Simulation results studying the impact of various system parameters on the RSS/DoA estimation and localization accuracy are presented to verify theoretical derivations, as well as provide design guidelines for localization systems based on sectorized antennas.
引用
收藏
页码：237 / 240
页数：4
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