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Imran Ali,김덕년,Yun-Jeong Song,Naeem Zafar Azeemi 한국통신학회 2010 Journal of communications and networks Vol.12 No.3
In this paper, we propose and develop a new algorithm for the principle subspace tracking by orthonormalizing the eigenvectors using an approximation of Gram-Schmidt procedure. We carry out a novel mathematical derivation to show that when this approximated version of Gram-Schmidt procedure is added to a modified form of projection approximation subspace tracking deflation (PASTd) algorithm, the eigenvectors can be orthonormalized within a linear computational complexity. While the PASTd algorithm tries to extracts orthonormalized eigenvectors, the new scheme orthonormalizes the eigenvectors after their extraction,yielding much more tacking efficiency. We apply the new tracking scheme for blind adaptive multiuser detection for non-stationary cellular CDMA environment and use extensive simulation results to demonstrate the performance improvement of the proposed scheme.
Performance Analysis of Metro WDM Star Network based on An Arrayed Waveguide Grating
Syed Abdul Mannan Kirmani,Seoyong Shin,양효식,Naeem Zafar Azeemi 한국광학회 2008 Current Optics and Photonics Vol.12 No.4
In this paper, we analyze the performance of a reliable, scalable, and cost-effective switchless wavelength division multiplexing (WDM) network based on an arrayed waveguide grating (AWG). The network efficiency is significantly increased by spatially reusing wavelengths and exploiting multiple free spectral ranges (FSRs) of the AWG employed in the architecture. We have analyzed the performance of this architecture by simulating in OptsimTM with a control channel which exploits the broadband light source, i.e., an LED. The data was successfully transmitted to a distance of 30 km without using any EDFA’s in the network, with a reasonable BER of 4.0530×10-14. We have analyzed the performance of this architecture with a control channel which exploits the broadband light source, i.e., an LED, by simulating in OptsimTM.
Ali, Imran,Kim, Doug-Nyun,Song, Yun-Jeong,Azeemi, Naeem Zafar The Korea Institute of Information and Commucation 2010 Journal of communications and networks Vol.12 No.3
In this paper, we propose and develop a new algorithm for the principle subspace tracking by orthonormalizing the eigenvectors using an approximation of Gram-Schmidt procedure. We carry out a novel mathematical derivation to show that when this approximated version of Gram-Schmidt procedure is added to a modified form of projection approximation subspace tracking deflation (PASTd) algorithm, the eigenvectors can be orthonormalized within a linear computational complexity. While the PASTd algorithm tries to extracts orthonormalized eigenvectors, the new scheme orthonormalizes the eigenvectors after their extraction, yielding much more tacking efficiency. We apply the new tracking scheme for blind adaptive multiuser detection for non-stationary cellular CDMA environment and use extensive simulation results to demonstrate the performance improvement of the proposed scheme.