NDLI: Waveform Synthesis for Diversity-Based Transmit Beampattern Design

Content Provider	IEEE Xplore Digital Library
Author	Stoica, Petre Li, Jian Zhu, Xumin Guo, Bin
Copyright Year	2007
Description	Author affiliation: Dept. of Information Technology, Uppsala University, P.O. Box 337, SE-75105 Uppsala, Sweden. (Stoica, Petre) \|\| Dept. of Electrical and Computer Engineering, University of Florida, P.O. Box 116130, Gainesville, FL 32611-6130, USA. (Li, Jian; Zhu, Xumin; Guo, Bin)
Abstract	Transmit beampattern design is a critically important task in many fields including defense and homeland security as well as biomedical applications. Flexible transmit beampattern designs can be achieved by exploiting the waveform diversity offered by an array of sensors that transmit probing signals chosen at will. Recently proposed techniques for waveform diversity-based transmit beampattern design have focused on the optimization of the covariance matrix R of the waveforms, as optimizing a performance metric directly with respect to the waveform matrix is a more complicated operation. Given an R, the problem becomes that of determining a signal waveform matrix X whose covariance matrix is equal or close to R, and which also satisfies some practically motivated constraints. We propose a cyclic optimization algorithm for the synthesis of such an X, which (approximately) realizes a given optimal covariance matrix R under various practical constraints. A number of numerical examples are presented to demonstrate the effectiveness of the proposed algorithm.
Starting Page	473
Ending Page	477
File Size	1657348
Page Count	5
File Format	PDF
ISBN	9781424411979
DOI	10.1109/SSP.2007.4301303
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-08-26
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Covariance matrix Signal design Sensor arrays Signal synthesis Design optimization Constraint optimization Biomedical measurements Terrorism Biosensors MIMO
Content Type	Text
Resource Type	Article

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