NDLI: Optimal and Computational-Efficient Detection and Estimation of Multi-Paths in Channel Sounding

Content Provider	IEEE Xplore Digital Library
Author	Yanliang Sun Jianhua Zhang Chun Pan Ping Zhang
Copyright Year	2013
Description	Author affiliation: Key Lab. of Universal Wireless Commun., Beijing Univ. of Posts & Telecommun., Beijing, China (Yanliang Sun; Jianhua Zhang; Chun Pan; Ping Zhang)
Abstract	In this paper, we focus on detecting, estimating and tracking spatial multi-paths in radio propagation, based on elaborated channel sounding. An algorithm based on least-square criterion is proposed, and the multi-paths are estimated by an iterative method. The particle swarm optimizer(PSO) is used to guarantee both global optimum and computational efficiency in each iteration. Realistic system influence, such as system response, non-isotropic array gain, are considered and mitigated. The precision is theoretical analysed and experimental verified. It is shown that in this scheme, the spatial multipath separating and tracking ability can be significantly improved, and reliable results can be obtained. Moreover, the computational efficiency is significantly raised, and the trade- off of precision and complexity can be flexible.
Starting Page	1
Ending Page	6
File Size	1837533
Page Count	6
File Format	PDF
ISBN	9781467361873
ISSN	10903038
DOI	10.1109/VTCFall.2013.6692326
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-09-02
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Estimation Arrays Particle swarm optimization Channel estimation Vectors Optimization Convergence
Content Type	Text
Resource Type	Article

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