An analytical three dimensional correlation model for array with antennas having abitrarily oriented directions

Wang, Li; Wang, Hao Gang

doi:10.1109/apmc.2008.4958031

Cited by 2 publications

(2 citation statements)

References 4 publications

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“…In this manuscript, we assume that the matching network is lossless with the assumption of reciprocity and geometric symmetry of the structure, so the admittance matrix can be rewritten as Equation (24). For the optimization of a 2-by-2 MIMO system with MPM, elements ofȲ M in (24) and formula (25) are set as the genes of chromosomes and the fitness function of GA, respectively.…”

Section: Optimization Using Gamentioning

confidence: 99%

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A Novel Multiport Matching Method for Maximum Capacity of an Indoor Mimo System

Yu¹,

Wang²,

Wang³

et al. 2012

PIER

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Abstract-A novel multiport matching method is devised to directly maximize the mean capacity with rigorous consideration of the mutual coupling effects of the matching network. In the RF front end of the real communication circuits, the mutual couplings always exist. In this paper, 1) a theoretical capacity upper bound of the 2-by-2 MIMO system with a matching network using the water-filling as the power allocation rule is analytically derived for the first time, 2) the Genetic Algorithm is employed to optimize the parameters of the matching network for the maximization of the mean capacity, 3) a coupled microstrip lines structure is devised to implement the matching network of the real MIMO receiving circuits by this matching method. The numerical results in the last section demonstrate that an optimized matching network obtained using our novel MPM method is capable to enhance the performance of the MIMO systems in a range of different indoor environments. This verifies that our method is not only effective but also practical.

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Section: Optimization Using Gamentioning

confidence: 99%

“…Considering the reciprocity and geometric symmetry of the matching network structure, e.g., a coupled microstrip lines structure [16],Ȳ M can be simplified as (24) in Section 4. Thus, by substituting (31)- (35) into (15), we can obtain Equation (17).…”

Section: Theoretical Derivationmentioning

confidence: 99%