NDLI: Power and DOA estimation for array processing using particle swarm optimization

Content Provider	IEEE Xplore Digital Library
Author	Ziyuan He Zhiqin Zhao Kai Yang Jun Ouyang
Copyright Year	2011
Description	Author affiliation: School of Electronic Engineering, University of Electronic Science and Technology of China (UESTC), Chengdu, P. R. China (Ziyuan He; Zhiqin Zhao; Kai Yang; Jun Ouyang)
Abstract	To increase the capacity of mobile communications, it is important to accurately estimate the power and the direction of arrival (DOA) of source. An efficient algorithm is proposed for this purpose. A cost function is optimized by using the particle swarm optimization (PSO). To accelerate the convergence of the fitness function of PSO, the inertia weights of particles are different from each other and are updated according to the values of fitness. The simulation results show that the proposed algorithm not only can be applied at the case that MUltiple SIgnal Classification (MUSIC) algorithm is useful, but also at the case that MUSIC is not useful, for example, when the number of signal sources is greater than or equal to the number of the elements of the array. It can simultaneously estimate the DOAs and powers of signals accurately.
Starting Page	405
Ending Page	408
File Size	127838
Page Count	4
File Format	PDF
ISBN	9781457706028
e-ISBN	9781457706035
e-ISBN	9781457706011
DOI	10.1109/ICCPS.2011.6092288
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-10-21
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Estimation Signal processing algorithms Multiple signal classification Arrays Direction of arrival estimation Particle swarm optimization Signal to noise ratio
Content Type	Text
Resource Type	Article

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