DocumentCode :
2848950
Title :
Efficient systolic architecture for Hermitian eigenvalue problem
Author :
Lopez-Parrado, Alexander ; Velasco-Medina, J.
Author_Institution :
Bionanoelectronics Res. Group, Univ. del Valle, Cali, Colombia
fYear :
2012
fDate :
1-2 Nov. 2012
Firstpage :
1
Lastpage :
6
Abstract :
This paper presents an efficient systolic architecture for solving the Hermitian eigenvalue problem, which is a common issue in the spectrum sensing function of cognitive radio systems like WRANs. The designed architecture uses a novel upper triangular structure to improve performance with respect to the BLV array. The processing elements are based on sequential CORDIC processors to perform two complex Jacobi rotations. Tests and results show that the proposed architecture is suitable to design the spectrum sensing function of cognitive radio systems. The systolic architecture was described using generic structural VHDL and tested using an Altera FPGA.
Keywords :
Hermitian matrices; cognitive radio; eigenvalues and eigenfunctions; field programmable gate arrays; radio spectrum management; signal detection; systolic arrays; Altera FPGA; BLV array; Hermitian eigenvalue problem; WRAN; cognitive radio systems; complex Jacobi rotations; generic structural VHDL; processing elements; sequential CORDIC processors; spectrum sensing function; systolic architecture; triangular structure; Algorithm design and analysis; Arrays; Covariance matrix; Eigenvalues and eigenfunctions; Jacobian matrices; Sensors; Cognitive radio; Field programmable gate arrays; Matrices; Systolic arrays;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems (CWCAS), 2012 IEEE 4th Colombian Workshop on
Conference_Location :
Barranquilla
Print_ISBN :
978-1-4673-4612-2
Type :
conf
DOI :
10.1109/CWCAS.2012.6404064
Filename :
6404064
Link To Document :
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