A Novel Fused Positioning Feature for Handling Heterogeneous Hardware Problem

Autor:	Chu-Hsuan Wang, Shih-Hau Fang
Rok vydání:	2015
Předmět:	Engineering business.industry RSS Feature extraction computer.file_format Signal strength Discriminative model Homogeneous Robustness (computer science) Principal component analysis Pairwise comparison Electrical and Electronic Engineering business computer Computer hardware
Zdroj:	IEEE Transactions on Communications. 63:2713-2723
ISSN:	1558-0857 0090-6778
DOI:	10.1109/tcomm.2015.2442989
Popis:	Received signal strength (RSS) in Wi-Fi networks is commonly employed in indoor positioning systems; however, variations in hardware challenge robustness of this approach. This paper proposes a novel positioning feature, which is called delta-fused principal strength (DFPS), to enhance the robustness of Wi-Fi localization against the problem of heterogeneous hardware. The proposed algorithm computes the pairwise delta RSS and then integrates with RSS using principal component analysis. This paper makes two principal contributions: First, the fused positioning feature embeds discriminative power within delta RSS to compensate for the problem of heterogeneous devices in a unified framework, and second, DFPS provides increased flexibility in determining the number of required components and achieves better computational efficiency. We applied DFPS to location fingerprinting systems in a realistic indoor Wi-Fi environment. Experimental results demonstrate the effectiveness of proposed algorithm, where DFPS outperforms previous robust positioning features for heterogeneous and homogeneous devices.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::b943aefa9231a122c3346a873e0adf3f https://doi.org/10.1109/tcomm.2015.2442989 Zobrazit plný text záznamu