Structure of an Optimum Linear Precoder and its Application to ML Equalizer

The structure of an optimum linear precoder for a rotation-invariant performance measure is obtained subject to the constraint of limited input power for a block transmission scheme. It is shown that several known performance measures of a communication system are rotation invariant. The rotation in...

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Bibliographic Details
Published in:	IEEE transactions on signal processing Vol. 56; no. 8; pp. 3690 - 3701
Main Authors:	Lokesh, S.S., Kumar, A., Agrawal, M.
Format:	Journal Article
Language:	English
Published:	New York, NY IEEE 01.08.2008 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Applied sciences Bit error rate Channel capacity Codes Constraint optimization Decision feedback equalizers Detection, estimation, filtering, equalization, prediction Equalizer Equalizers Error analysis Errors Exact sciences and technology Feedback Information, signal and communications theory Invariants Least mean squares algorithm Maximization maximum likelihood (ML) Mean square error methods Mean square errors Miscellaneous Modulation, demodulation multiple-input multiple-output (MIMO) Optimization optimum beamforming Phase shift keying Power measurement precoder rotation invariance Rotation measurement Signal and communications theory Signal processing Signal to noise ratio Signal, noise Studies Telecommunications and information theory Transmitters Performance evaluation MIMO system Channel capacity Input signal Bit error rate optimum beamforming precoder Equalizer Binary phase shift keying Information transmission Beam forming Optimization Mean square error rotation invariance maximum likelihood (ML) Rotational invariance Telecommunication system Signal processing Minimal distance Maximum likelihood Signal to noise ratio multiple- input multiple-output (MIMO)
ISSN:	1053-587X, 1941-0476
Online Access:	Get full text
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