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 :
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