论文信息 - Maximum likelihood method for blind identification of multiple autoregressive channels

Maximum likelihood method for blind identification of multiple autoregressive channels

We present a two-step maximum likelihood (TSML) algorithm for blind identification of single-input-multiple-output (SIMO) channels modeled as an autoregressive (AR) system. The AR-TSML algorithm provides a new and useful alternative to a previously developed TSML algorithm for a moving-average (MA) system. The AR-TSML algorithm is shown to be more robust than the MA-TSML algorithm if the channel impulse responses have long tails.

Zheng Fang | Yingbo Hua

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