2005
DOI: 10.1049/ip-vis:20045053
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Blind source separation of instantaneous MIMO systems based on the least-squares Constant Modulus Algorithm

Abstract: Blind symbol detection for mobile communications systems has been widely studied and can be implemented by using either adaptive or iterative techniques. However, adaptive blind algorithms require data of sufficient length to converge. Therefore, in a rapidly changing environment, they are likely unable to track the changing channels. In such a situation, one possible solution is to use iterative blind algorithms. Iterative blind source separation algorithms based on the least-squares constant modulus algorith… Show more

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Cited by 10 publications
(5 citation statements)
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“…The proposed robust constrained LSCMA is globally stable and convergent via Agee's inequalities. The first input stream is successfully extracted by establishing the following inequalities, given that > 0 [21]:…”
Section: Convergence Performancementioning
confidence: 99%
“…The proposed robust constrained LSCMA is globally stable and convergent via Agee's inequalities. The first input stream is successfully extracted by establishing the following inequalities, given that > 0 [21]:…”
Section: Convergence Performancementioning
confidence: 99%
“…The independent component analysis (ICA) algorithms make use of the independence of different users' signals to achieve signal recovery [9,10]. ILSP and ILSE exploit the finite alphabet property to estimate signals while CM-based algorithms are effective to constant-module modulated signals [11][12][13][14]. Other properties of transmitted signals, such as cyclestationarity and high-order statistics, have also been used to separate sources in many cases.…”
Section: Introductionmentioning
confidence: 99%
“…It is applied in the blind source separation [4], array processing, equalization and multiuser detection widely.…”
Section: ⅰIntroductionmentioning
confidence: 99%