Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/255
Title: | New approaches without postprocessing to FIR system identification using selected order cumulants | Authors: | Li, W Siu, WC |
Issue Date: | Apr-2000 | Source: | IEEE transactions on signal processing, Apr. 2000, v. 48, no. 4, p.1144-1153 | Abstract: | In this paper, we address the problem of identifying the parameters of the nonminimum-phase FIR system from the cumulants of noisy output samples. The system is driven by an unobservable, zero-mean, independent and identically distributed (i.i.d) non-Gaussian signal. The measurement noise may be white Gaussian, colored MA, ARMA Gaussian processes, or even real noises. For this problem, two novel methods are proposed. The methods are designed by using higher order cumulants with the following advantages. i) Flexibility: Method 1 employs two arbitrary adjacent order cumulants of output, whereas Method 2 uses three cumulants of output: two cumulants with arbitrary orders and the other one with an order equal to the summation of the two orders minus one. Because of this flexibility, we can select cumulants with appropriate orders to accommodate different applications. ii) Linearity: Both the formulations in Method 1 and Method 2 are linear with respect to the unknowns, unlike the existing cumulant-based algorithms. The post-processing is thus avoided. Extensive experiments with ARMA Gaussian and three real noises show that the new algorithms, especially Algorithm 1, perform the FIR system identification with higher efficiency and better accuracy as compared with the related algorithms in the literature. |
Keywords: | FIR system identification Higher order cumulants Parameter estimation |
Publisher: | Institute of Electrical and Electronics Engineers | Journal: | IEEE transactions on signal processing | ISSN: | 1053-587X | EISSN: | 1941-0476 | DOI: | 10.1109/78.827547 | Rights: | © 2000 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
IEEE_NEW_Approaches _p1.pdf | 293.16 kB | Adobe PDF | View/Open |
Page views
54
Last Week
0
0
Last month
Citations as of Mar 24, 2024
Downloads
114
Citations as of Mar 24, 2024
SCOPUSTM
Citations
2
Last Week
0
0
Last month
0
0
Citations as of Mar 28, 2024
WEB OF SCIENCETM
Citations
2
Last Week
0
0
Last month
0
0
Citations as of Mar 28, 2024
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.