Broadband spectrum estimation using cascaded integrator comb filter

Abstract

Spectrum estimation using different type of lters is a broad area of research nowadays. In this work, Cascaded Integrator Comb (CIC) lter based narrowband spectrum estimation and CIC band pass lter is presented. Then the broadband spectrum estimation is presented using CIC lters as well as Modied CIC lters with and without white noise. In eigen based methods, eigendecomposition of the autocorrelation matrix is to be obtained. This is a very complex and time consuming procedure while in CIC lter based methods only two additions are required, which signicantly reduces the complexity of the algorithm regardless of the factor M. Complexity based comparison is presented between CIC lter, Modied CIC filter based narrowband estimation and eigenbased frequency estimation methods. All the programs are written in MATLAB.