Abstract
In the last decade, a significant number of algorithms of systems using only a quantized output, has appeared. In this study, an overview of identification methods of IIR systems, using quantized or binary output, is presented. A short description of the methods existing in the literature is given. The methods are compared both on the basis of simulation examples.
Highlights
The identification of systems using quantized or binary output has been an important research topic for several years
The use of quantized or binary output introduces difficulties, since only very limited information is avaible for system identification
Various of quantized / binary estimation algorithms are developed, most of these solutions are designed for Finite Impulse Response (FIR) systems, as methods proposed in [19], [1], [2], [3], [4], [5], [6], [7] and [8]
Summary
The identification of systems using quantized or binary output has been an important research topic for several years. The use of quantized or binary output introduces difficulties, since only very limited information is avaible for system identification. Despite this limitation different interesting methods have been proposed so far. Various of quantized / binary estimation algorithms are developed, most of these solutions are designed for Finite Impulse Response (FIR) systems, as methods proposed in [19], [1], [2], [3], [4], [5], [6], [7] and [8]. In this paper we consider those dedicated to identification of IIR systems ( Output-Error model structure).
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