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Content Provider | IEEE Xplore Digital Library |
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Author | Venkataramani, R. Sankaranarayanan, S. |
Copyright Year | 2008 |
Description | Author affiliation: Seagate Technol., Pittsburgh, PA (Venkataramani, R.; Sankaranarayanan, S.) |
Abstract | We consider the problem of channel shortening equalization to perform reduced complexity detection for MIMO channels with intersymbol interference and additive Gaussian noise, the problem is to find a MIMO equalizer and a partial response MIMO target filter such that the combination produces the best detection performance. We show the existence of an infinite family of optimal equalizers and targets that satisfy the a posteriori equivalence condition. Furthermore, these solutions are intimately related to MIMO decision feedback equalizers designed with the "monk determinant" constraint on the feedback filter. These results generalize some recent results on channel shortening based on a posteriori equivalence to the MIMO setting. |
Starting Page | 1 |
Ending Page | 5 |
File Size | 157348 |
Page Count | 5 |
File Format | |
ISBN | 9781424423248 |
ISSN | 1930529X |
DOI | 10.1109/GLOCOM.2008.ECP.638 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2008-11-30 |
Publisher Place | USA |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | MIMO Intersymbol interference Finite impulse response filter Decision feedback equalizers Fourier transforms Receiving antennas Magnetic recording OFDM Additive noise Gaussian noise |
Content Type | Text |
Resource Type | Article |
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