Bias Reduced Semidefinite Relaxation Method for 3-D Moving Object Localization Using AOA
Author:
Affiliation:
1. Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, China
2. Department of Electrical Engineering and Computer Science, University of Missouri, Columbia, MO, USA
Funder
National Natural Science Foundation of China
Zhejiang Provincial Natural Science Funds for Distinguished Young Scholars
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Applied Mathematics,Electrical and Electronic Engineering,Computer Science Applications
Link
http://xplorestaging.ieee.org/ielx7/7693/10314841/10061478.pdf?arnumber=10061478
Reference43 articles.
1. Channel Estimation and User Localization for IRS-Assisted MIMO-OFDM Systems
2. An Accurate Algebraic Solution for Moving Source Location Using TDOA and FDOA Measurements
3. Joint Channel Estimation and Localization for Cooperative Millimeter Wave Systems
4. A Performance Evaluation Framework for Direction Finding Using BLE AoA/AoD Receivers
5. Bias analysis of maximum likelihood target location estimator
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1. Moving Target Localization in Distributed Sensor Networks via Nuisance Variables Elimination;2024 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE);2024-08-06
2. Enhanced Moving Source Localization with Time and Frequency Difference of Arrival: Motion-Assisted Method for Sub-Dimensional Sensor Networks;Applied Sciences;2024-05-03
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