Abstract
This paper reviews the basic identifiability conditions and identification methods for blind system identification. This review focuses on the exploitation of the second-order statistics of the system output. The blind methods vary significantly according to the categories of the systems: i.e., single-input, single-output (SISO) systems, single-input, multiple-output (SIMO) systems, or multiple-input, multiple-output (MIMO) systems. For SISO systems, the blind methods require white input and minimum phase frequency response. For SIMO systems, the blind methods can generally yield the exact identification up to a scalar using a finite set of data. For MIMO systems, the blind identifiability conditions and the blind methods are much more involved.
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Hua, Y. Blind methods of system identification. Circuits Systems and Signal Process 21, 91–108 (2002). https://doi.org/10.1007/BF01211654
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DOI: https://doi.org/10.1007/BF01211654