DocumentCode :
2669886
Title :
New radiolocation technique for intelligent antennas
Author :
Khmou, Youssef ; Safi, Said
Author_Institution :
Sultan Moulay Slimane Univ., Beni-Mellal, Morocco
fYear :
2015
fDate :
25-26 March 2015
Firstpage :
1
Lastpage :
4
Abstract :
This paper treats the estimation of narrowband Direction of Arrival (DoA) of far field and punctual sources using one dimensional smart antennas, in the first part we demonstrate a new expression of the propagator operator which is subspace based technique, using the orthonormal matrix Q obtained from QR factorization of data´s second order statistics, next we present a new high resolution technique using the decreasing exponential operator, which is a function inspired from several physics laws, this matrix function is adjustable using minimum eigenvalue of spectral matrix. The introduced mechanism allows an approximate binarization of system´s eigenvalues to obtain a projector into the noise subspace. Additionally we demonstrate that if the powers of transmitted signals are known a priori, an accurate estimation of noise power can be calculated using the diagonal components of spectral matrix. Numerical simulation is presented using a non uniform linear array, the obtained results verify that the proposed technique has the same resolution power as the eigenspace based spectral techniques.
Keywords :
adaptive antenna arrays; direction-of-arrival estimation; eigenvalues and eigenfunctions; higher order statistics; linear antenna arrays; matrix decomposition; radio direction-finding; signal resolution; spectral analysis; DoA estimation; QR factorization; eigenspace based spectral technique; eigenvalue approximate binarization; high resolution technique; intelligent antenna; narrowband direction of arrival estimation; noise power estimation; non uniform linear array; one-dimensional smart antenna; orthonormal matrix; radiolocation technique; second order statistic; spectral matrix diagonal component; spectral matrix minimum eigenvalue; Arrays; Direction-of-arrival estimation; Eigenvalues and eigenfunctions; Estimation; Matrix decomposition; Noise; Sensors; Angular spectrum; DoA; Exponentially decreasing; Operator; Projector; Propagator; QR factorization; Radiolocation; Von Neumann entropy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Systems and Computer Vision (ISCV), 2015
Conference_Location :
Fez
Print_ISBN :
978-1-4799-7510-5
Type :
conf
DOI :
10.1109/ISACV.2015.7106162
Filename :
7106162
Link To Document :
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