On Target Localization Using Combined RSS and AoA Measurements

Abstract

This work revises existing solutions for a problem of target localization in wireless sensor networks (WSNs), utilizing integrated measurements, namely received signal strength (RSS) and angle of arrival (AoA). The problem of RSS/AoA-based target localization became very popular in the research community recently, owing to its great applicability potential and relatively low implementation cost. Therefore, here, a comprehensive study of the state-of-the-art (SoA) solutions and their detailed analysis is presented. The beginning of this work starts by considering the SoA approaches based on convex relaxation techniques (more computationally complex in general), and it goes through other (less computationally complex) approaches, as well, such as the ones based on the generalized trust region sub-problems framework and linear least squares. Furthermore, a detailed analysis of the computational complexity of each solution is reviewed. Furthermore, an extensive set of simulation results is presented. Finally, the main conclusions are summarized, and a set of future aspects and trends that might be interesting for future research in this area is identified.

A Mobile Localization Method in Smart Indoor Environment Using Polynomial Fitting for Wireless Sensor Network

“…Some classic methods of range-based indoor localization technology are time of arrival (TOA) [3,4], time difference of arrival (TDOA) [5,6], angle of arrival (AOA) [7], and received signal strength (RSS) [8,9]. Some advanced approaches which combine the methods above (data fusion) are also applied practically [10][11][12]. The proposed method in this paper employs TOA in consideration of its low complexity and high accuracy [13].…”

Wireless sensor indoor positioning based on an improved particle filter algorithm

“…The other is weighting data with unknown propagation status. Tomic et al 6 proposed a positioning method using received signal strength (RSS) and angle of arrival (AOA). The positioning problem was transformed into the framework of a generalized trust region sub-problem in Tomic and Beko.…”

Hybrid TOA/RSS Range-Based Localization with Self-Calibration in Asynchronous Wireless Networks

“…Hybrid approaches combining different types of measurements have also been proposed. For instance, references [26][27][28][29][30][31][32] investigated novel localization schemes based on the combined use of RSS and AOA measurements, which are able to achieve improved estimation performance. Although interesting, these techniques require enhanced hardware and processing capabilities that are usually not available on-board low-cost sensor nodes employed in typical WSN deployments; more precisely, AOA-based methods are not appealing in such contexts owing to the increased complexity and costs associated with multiple antennas.…”