IEICE Communications Express
Online ISSN : 2187-0136
Generalization of Channel Estimation Weights for Multiple Differential Detection Based on Per-Survivor Processing
Nanase YumotoToshiki MoriTakuma YamagishiKazuki ShimomuraHiroshi Kubo
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JOURNALS FREE ACCESS Advance online publication

Article ID: 2018XBL0112

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Abstract

This paper proposes novel channel estimation weights for multiple differential detection based on per-survivor processing (PSP-MDD). Channel estimation weights for PSP-MDD can control a trade-off between performance in the required signal-to-noise power ratio (SNR) and tracking capability. There have been proposed the two channel estimation weights: weights of simple first-order channel prediction and weights of higher-order channel prediction based on the binomial theorem. In order to control this trade-off widely and precisely, this paper proposes channel estimation weights generalizing the two conventional weights. Finally, computer simulation results confirm that the proposed weights can control the trade-off widely and precisely.

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© 2018 The Institute of Electronics, Information and Communication Engineers
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