DocumentCode
2631363
Title
Waveform design for sequential MIMO detection
Author
Grossi, Emanuele ; Lops, Marco
Author_Institution
DAEIMI, Univ. degli Studi di Cassino, Cassino, Italy
fYear
2010
fDate
4-7 Oct. 2010
Firstpage
61
Lastpage
64
Abstract
In this paper, a sequential multiple-input, multiple-output detection problem is considered. Minimization of the weighted average of the Kullback-Leibler divergences between the densities of the observations under the two hypotheses (which permits to control the average sample number under the two hypotheses) is pursued when the transmitted energy budget is limited. A closed form expression of the structure of the optimum code matrix is found, and a simple numerical algorithm to find the optimal power allocation is given.
Keywords
MIMO communication; antenna arrays; receiving antennas; signal detection; transmitting antennas; Kullback-Leibler divergences; closed form expression; energy budget; numerical algorithm; optimal power allocation; receive antennas; sequential MIMO detection; sequential multiple-input multiple-output detection problem; transmit antennas; waveform design; weighted average minimization; Eigenvalues and eigenfunctions; Encoding; MIMO; Receiving antennas; Resource management; Signal to noise ratio; Transmitting antennas;
fLanguage
English
Publisher
ieee
Conference_Titel
Sensor Array and Multichannel Signal Processing Workshop (SAM), 2010 IEEE
Conference_Location
Jerusalem
ISSN
1551-2282
Print_ISBN
978-1-4244-8978-7
Electronic_ISBN
1551-2282
Type
conf
DOI
10.1109/SAM.2010.5606767
Filename
5606767
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