NDLI: Robust near-field beamforming with worst case performance based on convex optimization

Content Provider	IEEE Xplore Digital Library
Author	Liao Yan-ping Jiao Yan-min Zhang Chao-zhu
Copyright Year	2012
Description	Author affiliation: College of Information and Communication Engineering, Harbin Engineering University, Harbin, China (Liao Yan-ping; Jiao Yan-min; Zhang Chao-zhu)
Abstract	A new robust beamforming algorithm with worst case performance against the steering vector mismatch for near-field is presented. For uniform linear array, the model of near-field signal with spherical wave-front has been used to design the beamforming problem. The convex optimization method is applied to revise the steering vector error of the beam, and the algorithm constraints on the source signal to minimum the output variance of the signal, and maximum the output SINR. The output performance of the steering vector mismatch problem has been improved, and it's simple to implement. Results of simulation for a 10-element uniform linear array verify the availability and effectiveness of this robust method.
Starting Page	608
Ending Page	611
File Size	255360
Page Count	4
File Format	PDF
ISBN	9781467313025
e-ISBN	9781467313056
DOI	10.1109/GSMM.2012.6314412
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-05-27
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Array signal processing steering vector error Signal processing algorithms Interference robustness convex optimization Vectors Robustness near-field Arrays beamforming Signal to noise ratio
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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