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Polynomial matrix SVD algorithms for broadband optical MIMO systems

Ahrens, Andreas, Sandmann, Andre, Wang, Zeliang and McWhirter, John G. 2016. Polynomial matrix SVD algorithms for broadband optical MIMO systems. Presented at: 7th International Conference on Optical Communication Systems (OPTICS 2016), Lisbon, Portugal, 26 - 28 July 2016. Proceedings of the 13th International Joint Conference on e-Business and Telecommunications. Setúbal, Portugal: SciTePress, pp. 35-42. 10.5220/0005949400350042

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Abstract

Polynomial matrix singular value decomposition (PMSVD) plays a very important role in broadband multiple-input multiple-output (MIMO) systems. It can be used to decompose a broadband MIMO channel matrix in order to recover the transmitted signals corrupted by the channel interference (CI) at the receiver. In this contribution newly developed singular value decomposition (SVD) algorithm for polynomial matrices are analyzed and compared in the application of decomposing optical MIMO channels. The bit-error rate (BER) performance is evaluated and optimized by applying bit and power allocation schemes. For our simulations, the specific impulse responses of the (2x2) MIMO channel, including a 1.4 km multi-mode fiber and optical couplers at both ends, are measured for the operating wavelength of 1576 nm.

Item Type: Conference or Workshop Item (Paper)
Date Type: Published Online
Status: Published
Schools: Engineering
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Publisher: SciTePress
ISBN: 9789897581960
Related URLs:
Last Modified: 01 Jul 2019 07:46
URI: http://orca-mwe.cf.ac.uk/id/eprint/96086

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