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Xue Zhang
Arizona State University
18Publications
6H-index
89Citations
Publications 18
Newest
#1Xue ZhangH-Index: 6
Last.Gowtham MunirajuH-Index: 1
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In this paper, localization using narrowband communication signals are considered in the presence of fading channels with time of arrival measurements. When narrowband signals are used for localization, due to existing hardware constraints, fading channels play a crucial role in localization accuracy. In a location estimation formulation, the Cramer-Rao lower bound for localization error is derived under different assumptions on fading coefficients. For the same level of localization accuracy, t...
#1Xue Zhang (ASU: Arizona State University)H-Index: 6
Last.Mahesh K. Banavar (Clarkson University)H-Index: 12
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In sensor network applications, measured data are often meaningful only when the location is accurately known. In this booklet, we study research problems associated with node localization in wireless sensor networks. We describe sensor network localization problems in terms of a detection and estimation framework and we emphasize specifically a cooperative process where sensors with known locations are used to localize nodes at unknown locations. In this class of problems, even if the location ...
#2Xue ZhangH-Index: 6
Last.Andreas SpaniasH-Index: 26
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Abstract Autonomous vehicles use global navigation satellite systems (GNSS) to provide a position within a few centimeters of truth. Centimeter positioning requires accurate measurement of each satellite's direct path propagation time. Multipath corrupts the propagation time estimate by creating a time-varying bias. A GNSS receiver model is developed and the effects of multipath are investigated. MATLABtm code is provided to enable readers to run simple GNSS receiver simulations. More specifical...
#1Steven R. Miller (ASU: Arizona State University)H-Index: 2
#2Xue Zhang (ASU: Arizona State University)H-Index: 6
Last.Andreas SpaniasH-Index: 26
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Abstract Autonomous vehicles use global navigation satellite systems (GNSS) to provide a position within a few centimeters of truth. Centimeter positioning requires accurate measurement of each satellite's direct path propagation time. Multipath corrupts the propagation time estimate by creating a time-varying bias. A GNSS receiver model is developed and the effects of multipath are investigated. MATLABtm code is provided to enable readers to run simple GNSS receiver simulations. More specifical...
#1Steven R. Miller (ASU: Arizona State University)H-Index: 2
#2Xue Zhang (ASU: Arizona State University)H-Index: 6
Last.Andreas Spanias (ASU: Arizona State University)H-Index: 26
view all 3 authors...
Autonomous vehicles use global navigation satellite systems (GNSS) to provide a position within a few centimeters of truth. Centimeter positioning requires accurate measurement of each satellite's direct path propagation time. Multipath corrupts the propagation time estimate by creating a time-varying bias. A GNSS receiver model is developed and the effects of multipath are investigated. MATLABtm code is provided to enable readers to run simple GNSS receiver simulations. More specifically, GNSS ...
#1Steven R. Miller (ASU: Arizona State University)H-Index: 2
#2Xue Zhang (ASU: Arizona State University)H-Index: 6
Last.Andreas Spanias (ASU: Arizona State University)H-Index: 26
view all 3 authors...
Multipath is the dominant error source in precise positioning Global Navigation Satellite Systems (GNSS) such as the United States Global Positioning System (GPS). These systems utilize the satellite signal time of arrival estimates to solve for position. Multipath corrupts the time of arrival estimates by distorting the signal tracking phase discriminator; which results in a slowly time- varying phase bias. This bias ranges from several centimeters to tens of meters. The submeter bias is the mo...
#1Paul Curtis (ASU: Arizona State University)H-Index: 2
#2Mahesh K. Banavar (ASU: Arizona State University)H-Index: 12
Last.Vitor Weber (ASU: Arizona State University)H-Index: 2
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This project aims to contribute to education research using mobile apps to demonstrate how signals and systems concepts are used in sensor network localization. An educational demonstration of sensor localization on mobile devices is described with the mobile devices acting as nodes of a sensor network. In our approach, we are developing an app that uses a modified version of time-difference of arrival (TDOA) using audio signals and commercial Android devices. At a high level, the app can be use...
Nov 1, 2013 in ASILOMAR (Asilomar Conference on Signals, Systems and Computers)
#1Xue Zhang (ASU: Arizona State University)H-Index: 6
#2Cihan Tepedelenlioglu (ASU: Arizona State University)H-Index: 26
Last.Andreas Spanias (ASU: Arizona State University)H-Index: 26
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A distributed location detection problem in wireless sensor networks (WSNs) with M anchors and one node is considered in this paper. In the presence of the transmitting node at a known location, each anchor receives a noisy signal in the presence of node. In the absence of the node, the anchors receive only noise. Each anchor makes a decision as to whether the node is present or not by using a Neyman-Pearson detector. The bit denoting the decision is transmitted to a fusion center (FC). If an an...
#1Sai Zhang (ASU: Arizona State University)H-Index: 4
#2Mahesh K. Banavar (ASU: Arizona State University)H-Index: 12
Last.Xue Zhang (ASU: Arizona State University)H-Index: 6
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In this paper, we describe a new set of software functions and associated exercises that can be used for teaching orthogonal frequency division multiplexing (OFDM) concepts in undergraduate DSP and communications courses. These tools can be used to simulate, visualize, and analyze the performance and behavior of OFDM systems by considering different input signals and communication channels. OFDM is a compelling paradigm because of its utility in WiFi and LTE. It is also a good demonstration of t...
#1Andreas SpaniasH-Index: 26
#2Jayaraman J. Thiagarajan (ASU: Arizona State University)H-Index: 10
Last.Girish Kalyanasundaram (ASU: Arizona State University)H-Index: 1
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Internet and multimedia technologies have had a profound impact in STEM education in the past decade. The increase in the use of mobile devices among students adds another novel dimension to course design and delivery. Furthermore, the traditional textbooks are being replaced and supplemented by inexpensive and mobile e-books, and hence there is an opportunity to integrate the multimedia and mobile technologies in an e-learning environment. As a part of the NSF TUES phase 3 project for developme...
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