Scenario-based em identification for FIR systems having quantized output data

Abstract:

In this paper we describe a novel algorithm for estimating the parameters of a linear system when the observed output signal is quantized. This question has relevance to many areas including sensor networks and telecommunications. The algorithm utilizes a set of pre-computed scenarios to reduce the computational complexity of EM type algorithms that are typically deployed for this kind of problem. More generally, the idea of utilizing scenarios seems to have widespread potential in system identification. © 2009 IFAC.

Año de publicación:

2009

Keywords:

• Quantized signals
• Maximum likelihood
• system identification

Fuente:

scopus