DocumentCode
1663675
Title
Application of parallel PSO algorithm to motion parameter estimation
Author
Han, Feng ; Cui, Wei ; Wei, Guohua ; Wu, Siliang
Author_Institution
Dept. of Electron. Eng., Beijing Inst. of Technol., Beijing
fYear
2008
Firstpage
2493
Lastpage
2496
Abstract
A new method with an efficient parallel particle swarm optimization (PSO) algorithm is proposed for estimating motion parameters. Compared with the traditional methods, modified parallel PSO algorithm features such as easily realizing in parallel machines and ability of global search are demonstrated. The experiments give the performance of algorithm, which could satisfy the desire in the system of flight path estimation.
Keywords
array signal processing; parameter estimation; particle swarm optimisation; radar signal processing; flight path estimation; global search; motion parameter estimation; parallel machines; parallel particle swarm optimization algorithm; radar array signal processing; Antenna arrays; Frequency estimation; Motion estimation; Parameter estimation; Particle swarm optimization; Phased arrays; Radar antennas; Radar signal processing; Sensor arrays; Signal processing algorithms;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing, 2008. ICSP 2008. 9th International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-2178-7
Electronic_ISBN
978-1-4244-2179-4
Type
conf
DOI
10.1109/ICOSP.2008.4697655
Filename
4697655
Link To Document