Adaptive PSP-MLSE Using State-Space Based RLS for Multi-Path Fading Channels

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概要

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• An adaptive per-survivor processing maximum likelihood sequence estimation (PSP-MLSE) using state-space based recursive least-squares (RLS) is proposed for rapidly time varying multi-path fading channels. Unlike PSP-MLSE using Kalman filtering, it does not require the knowledge of model statistics, and with an aid of state-space modeling, it has a robust performance to the fade rate, compared to PSP-MLSE using conventional RLS.

• （社）電子情報通信学会の論文
• 2008-12-01

著者

• Joo Jung

  Hankuk University Of Foreign Studies

• Joo Jung

  Hankuk Univ. Of Foreign Studies

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