Performance Analysis of AOA-based Localization with Software Defined Radio
نویسندگان
چکیده
In this paper, we investigate angle of arrival (AOA)-based estimation of a mobile station (MS)’s location by monitoring the AOA at multiple reference software defined radio (SDR) receivers. Each Universal software radio peripheral (USRP) device captures the AOA from the uplink transmission of a MS via MUltiple SIgnal Classification (MUSIC), which is one of super-resolution techniques to estimate AOA by using pseudo-spectrum. Subsequently, two-dimensional (2D) angulation is adopted for locating the MS based on AOA measurements and references’ positions. We consider the various communication environments, such as i) outdoor area without obstacles, ii) outdoor area with only a few obstacles and iii) indoor area with many obstacles. In order to evaluate the performance of AOA-based localization, we evaluate and compare the mean-squared position error. Via experimental results, an impact of multipath on localization accuracy is verified.
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