Doctoral Dissertations


Lei Wang

Keywords and Phrases

Antenna Radiation Pattern; Line-of-Sight; Localization; Received Signal Strength; Sensor Fusion


"Accurate locating and tracking of people and resources has become a fundamental requirement for many applications. The global navigation satellite systems (GNSS) is widely used. But its accuracy suffers from signal obstruction by buildings, multipath fading, and disruption due to jamming and spoof. Hence, it is required to supplement GPS with inertial sensors and indoor localization schemes that make use of WiFi APs or beacon nodes. In the GPS-challenging or fault scenario, radio-frequency (RF) infrastructure based localization schemes can be a fallback solution for robust navigation. For the indoor/outdoor transition scenario, we propose hypothesis test based fusion method to integrate multi-modal localization sensors. In the first paper, a ubiquitous tracking using motion and location sensor (UTMLS) is proposed. As a fallback approach, power-based schemes are cost-effective when compared with the existing ToA or AoA schemes. However, traditional power-based positioning methods suffer from low accuracy and are vulnerable to environmental fading. Also, the expected accuracy of power-based localization is not well understood but is needed to derive the hypothesis test for the fusion scheme. Hence, in paper 2-5, we focus on developing more accurate power-based localization schemes. The second paper improves the power-based range estimation accuracy by estimating the LoS component. The ranging error model in fading channel is derived. The third paper introduces the LoS-based positioning method with corresponding theoretical limits and error models. In the fourth and fifth paper, a novel antenna radiation-pattern-aware power-based positioning (ARPAP) system and power contour circle fitting (PCCF) algorithm are proposed to address antenna directivity effect on power-based localization. Overall, a complete LoS signal power based positioning system has been developed that can be included in the fusion scheme"--Abstract, page iv.


Zawodniok, Maciej Jan, 1975-

Committee Member(s)

Sarangapani, Jagannathan, 1965-
Zoughi, R.
Kosbar, Kurt Louis
Adekpedjou, Akim


Electrical and Computer Engineering

Degree Name

Ph. D. in Computer Engineering


Missouri University of Science and Technology

Publication Date

Spring 2017

Journal article titles appearing in thesis/dissertation

  • Ubiquitous tracking using motion and location sensor with application to smartphone
  • Bias and CRB analysis of LoS-based and RSS-based ranging methods
  • New theoretical limit analysis of LoS and RSS based positioning methods for Ricean fading channel in RF systems
  • ARPAP: A novel antenna-radiation-pattern-aware power-based positioning in RF system
  • ML ARPAP: The maximum likelihood based antenna radiation-pattern-aware power-based positioning in RF system


xvi, 227 pages

Note about bibliography

Includes bibliographic references.


© 2017 Lei Wang

Document Type

Dissertation - Open Access

File Type




Thesis Number

T 11127

Electronic OCLC #