Arogyaswami Paulraj
Stanford University
476 Papers
8.8K Citations
Arogyaswami Paulraj is an academic researcher from Stanford University. The author has contributed to research in topics: MIMO & Communication channel. The author has an hindex of 97, co-authored 476 publications. Previous affiliations of Arogyaswami Paulraj include Bharat Electronics & University of Maryland, College Park.
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Papers
Space-time block codes versus space-time trellis codes
S. Sandhu,Robert W. Heath,Arogyaswami Paulraj +2 more
- 11 Jun 2001
TL;DR: It is discovered that a simple concatenation of space-time block codes with traditional AWGN (additive white Gaussian noise) trellis codes outperforms some of the best known space- Time Trellis Codes at SNRs (signal to noise ratios) of interest.
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Capacity obtained from multiple-input multiple-output channel measurements in fixed wireless environments at 2.5 GHz
V. Erceg,P. Soma,D.S. Baum,Arogyaswami Paulraj +3 more
- 07 Aug 2002
TL;DR: Both theoretical results and experimental results show that depending on the temporal K-factor, rank of the constant matrix, envelope correlation coefficients of the variable matrix, and cross-polarization discrimination, the capacity can assume range of values for a given average SNR.
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Patent
Method and apparatus for selection and use of optimal antennas in wireless systems
D. Gore,Rohit U. Nabar,Arogyaswami Paulraj,Sumeet Sandhu +3 more
- 26 Jan 2001
TL;DR: In this article, the authors proposed a method and apparatus for selecting an optimal set of antennas from a plurality of antennas for use by a transmitter and/or receiver having a plurality-of-RF chains to transmit or receive a wireless signal on a wireless link.
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On smoothed rank profile tests in eigenstructure methods for directions-of-arrival estimation
TL;DR: A statistical procedure known as the smoothed rank profile (SRP) test is proposed that can be applied to an array covariance matrix to determine the source coherency structure and solvability of the directions-of-arrival estimation problem in the presence of coherent sources.
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Statistical antenna selection for spatial multiplexing systems
D. Gore,Robert W. Heath,Arogyaswami Paulraj +2 more
- 07 Aug 2002
TL;DR: This work addresses the problem of optimal antenna subset selection in spatial multiplexing systems when only the second-order statistics of the channel are available and derives selection criteria for both the maximum likelihood and zero forcing receivers, motivated by minimizing the average symbol error rate.
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