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Blind system identification using precise and quantized observations
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DOI：10.1016/j.automatica.2013.05.020.png)
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This paper studies the blind identification of multi-channel FIR systems using precise and quantized observations. First, a new deterministic blind identification (DBI) algorithm is presented for multi-channel FIR systems using precise observations, in which the system parameters can be consistently estimated and the common source signal can be stably recovered. When the observed samples are quantized by a static finite-level quantizer, an iterative deterministic blind identification (IDBI) method is then provided. The asymptotic characters of the proposed IDBI method are discussed and the quantization effect on the identification performance is analyzed. Numerical simulations are given to support the developed DBI method and IDBI method. (C) 2013 Elsevier Ltd. All rights reserved.
Keyword:
Blind system identification
Quantized observations
Maximum-likelihood estimator
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IF:
5.9
论文数:
1.2W
被引数:
5.2W
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