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Abstract

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The particle swarm optimization for the nonlinear optimization in TDOA-based location is proposed in this paper. By initializing a random particle swarm, updating the velocity and position of particles in accordance with the fitness of particles, the algorithm searches the optimal coordinates through iterative searching. The experimental results show that if the parameters are assumed reasonably, the algorithm is stable and can find the global optimal solution. It has a higher accuracy than other algorithms.

Details

Subject
Algorithms;
Optimization;
Lithium;
Communications engineering;
Nonlinearity;
Fitness
Classification
71: General and Nonclassified (MD)
G1: General and Nonclassified (EC)
G1: General and Nonclassified (ED)
G1: General and Nonclassified (EP)
60: Surveying, Theory, and Analysis (CE)
60: Design Principles, Theory, and Analysis (MT)
90: Computing Milieux (General) (CI)
90: Electronics and Communications Milieux (General) (EA)
90: Solid State Milieux (General) (SO)
Title
Application of particle swarm optimization to TDOA-based location.
Author
Li, Jun-Feng 1 ; Gao, Hong-Yuan; Pang, Wei-Zheng; Tong, Zhi-Yong

1  School of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China 
Correspondence author
Li, Jun-Feng 
Publication title
Yingyong Keji (Applied Science and Technology)
Journal abbreviation
Yingyong Keji (Appl. Sci. Technol.)
Volume
32
Issue
10
Pages
7-9
Number of pages
3
Publication date
Oct. 2005
Publication year
2005
Publisher
Harbin Engineering Universty, 1st Building 145 Nantong Street, Harbin, 150001, China, [mailto:[email protected]]
ISSN
1009-671X
Source type
Scholarly Journal
Language of publication
Chinese
Document type
Journal Article
Subfile
Metadex (MD); Engineered Materials: Ceramics (EC); Engineered Materials: Composites (ED); Engineered Materials: Polymers (EP); Civil Engineering (CE); Mechanical & Transportation Engineering (MT); Computer & Information Systems (CI); Electronics & Communication (EA); Solid State & Superconductivity (SO)
Update
2007-08-01
Accession number
200708-71-183466 (MD), 200708-G1-C-112733 (EC), 200708-G1-D-112733 (ED), 200708-G1-P-112733 (EP), 200708-60-248776 (CE), 200708-60-457364 (MT), 200708-90-106114 (CI), 200708-90-086174 (EA), 200708-90-127646 (SO)
ProQuest document ID
29991107
Document URL
https://www.proquest.com/scholarly-journals/application-particle-swarm-optimization-tdoa/docview/29991107/se-2?accountid=208611
Last updated
2011-11-12
Database
ProQuest One Academic