Paper Info
Title
A Semidefinite Programming Approach For Doppler Frequency Shift Based Stationary Target Localization
Abstract
In this work, we address the stationary target localization problem by using Doppler frequency shift (DFS) measurements. Based on the measurement model, the maximum likelihood estimation (MLE) of the target position is reformulated as a constrained weighted least squares (CWLS) problem. However, due to its non-convex nature, it is difficult to solve the problem directly. Thus, in order to yield a semidefinite programming (SDP) problem, we perform a semidefinite relaxation (SDR) technique to relax the CWLS problem. Although the SDP is a relaxation of the original MLE, it can facilitate an accurate estimate without post processing. Simulations are provided to confirm the promising performance of the proposed method.
Year
DOI
Venue
2018
10.1587/transfun.E101.A.507
IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES
Keywords
Field
DocType
Doppler frequency shift (DFS), target localization, maximum likelihood estimation (MLE), semidefinite programming (SDP)
Algorithm,Theoretical computer science,Doppler frequency,Mathematics,Semidefinite programming
Journal
Volume
Issue
ISSN
E101A
2
1745-1337
Citations 
PageRank 
References 
0
0.34
0
Authors
4
Name
Order
Citations
PageRank
Li Juan Deng102.03
Ping Wei2268.17
Yan Shen Du301.35
Hua Guo Zhang422.72