NDLI: Modified Optimum Beamforming for Smart Antenna in WCDMA Network

Content Provider	IEEE Xplore Digital Library
Author	Singla, P. Saxena, J.
Copyright Year	2013
Description	Author affiliation: Dept. of Electron. & Commun. Eng., Giani Zail Singh Punjab Tech. Univ. Campus, Bathinda, India (Saxena, J.) \|\| Dept. of Electron. & Commun. Eng., Panipat Inst. of Eng. & Technol. Samalkha, Panipat, India (Singla, P.)
Abstract	Third-Generation based Wide Band Code Division Multiple Access (W-CDMA) networks have been characterized for high data rate services accessible to a large number of users. But multipath and co-channel interference puts a limit on system capacity, throughput and new multimedia information services like wireless internet or video streaming. Smart antenna technique that includes Direction of Arrival (DOA) approach and Adaptive Beam forming algorithm is a promising means to improve the over-all system capacity and to overcome limited spectrum problem by effectively reducing the multipath and co-channel interference. In this paper, DOA estimation is done by Multiple Signal Classification (MUSIC) algorithm and Minimum Variance Distortion less Response (MVDR) algorithm is used for adaptive beam forming that continuously adjusts the weight of antenna arrays for creating a beam to track the desired user automatically, and to place null towards the interference user. Here, we improve on the MVDR method in order to assign the weightings. Instead of using a single linear equality constraint, a variable constraint has been used to obtain the optimum weights that decrease the gain in the undesired direction and desired direction comes out with more gain and without distortion. Obtained results are analyzed for the conventional method and the proposed method by observing beam forming spectrum by first varying number of antenna elements and then by varying the spacing between elements. For both the cases, the performance is better for the proposed method in terms of lower noise floor, more relative power and sharper peaks in the desired user direction than conventional method.
Starting Page	155
Ending Page	161
File Size	399517
Page Count	7
File Format	PDF
ISBN	9780769550138
DOI	10.1109/ICMIRA.2013.37
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-12-21
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Optimum beamforming DOA estimation Smart antenna array Array signal processing Noise Interference WCDMA networks Vectors Covariance matrices Antenna arrays
Content Type	Text
Resource Type	Article

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