An Initial Value Optimization Least Square Constant Modulus Algorithm for CDMA Systems

An initial value optimization least square constant modulus algorithm (IVO-LSCMA) is presented in this paper. The initial value of IVO-LSCMA is calculated by using the eigenvectors in the signal subspace and it is obtained by the iteration search approach to maximize the SINR(signal to interference...

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Hauptverfasser:	Sheng-Mei Liu, Qing-Ming Meng, Su Pan
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Convergence Covariance matrix Interference suppression Laboratories Least squares methods Mobile communication Multiaccess communication Multiuser detection Signal to noise ratio Wireless communication
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creator	Sheng-Mei Liu Qing-Ming Meng Su Pan
description	An initial value optimization least square constant modulus algorithm (IVO-LSCMA) is presented in this paper. The initial value of IVO-LSCMA is calculated by using the eigenvectors in the signal subspace and it is obtained by the iteration search approach to maximize the SINR(signal to interference plus noise ratio). The noise capture problem of LSCMA when the initial value is selected randomly can be solved by the IVO-LSCMA. It is shown that the IVO-LSCMA can achieve superior detection performance and fast convergence rate and it is also shown more robust performance than the LSCMA when the initial value is selected randomly. Moreover, the effect of the parameter to the algorithm is analyzed.
doi_str_mv	10.1109/WiCom.2008.378
format	Conference Proceeding
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The initial value of IVO-LSCMA is calculated by using the eigenvectors in the signal subspace and it is obtained by the iteration search approach to maximize the SINR(signal to interference plus noise ratio). The noise capture problem of LSCMA when the initial value is selected randomly can be solved by the IVO-LSCMA. It is shown that the IVO-LSCMA can achieve superior detection performance and fast convergence rate and it is also shown more robust performance than the LSCMA when the initial value is selected randomly. Moreover, the effect of the parameter to the algorithm is analyzed.</abstract><pub>IEEE</pub><doi>10.1109/WiCom.2008.378</doi><tpages>5</tpages></addata></record>
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subjects	Convergence Covariance matrix Interference suppression Laboratories Least squares methods Mobile communication Multiaccess communication Multiuser detection Signal to noise ratio Wireless communication
title	An Initial Value Optimization Least Square Constant Modulus Algorithm for CDMA Systems
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