Unbiased FIR system identification in the presence of input and output interference
Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45) › 32_Refereed conference paper (with ISBN/ISSN) › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
| Original language | English |
|---|---|
| Title of host publication | Midwest Symposium on Circuits and Systems |
| Publisher | IEEE |
| Pages | 696-699 |
| Volume | 2 |
| Publication status | Published - 1999 |
Publication series
| Name | |
|---|---|
| Volume | 2 |
Conference
| Title | 1999 IEEE 42nd Midwest Symposium on Circuits and Sistems |
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| City | Las Cruces, NM, USA |
| Period | 8 - 11 August 1999 |
Link(s)
Abstract
In the presence of input interference, the Wiener solution for impulse response estimation is biased. In this paper, it is proved that bias removal can be achieved by proper scaling the optimal filter coefficients and a modified least mean squares algorithm is then developed for accurate system identification in noise. Simulation results are included to compare the impulse response estimation performances of the proposed method and two total least squares based adaptive algorithms under different interference conditions.
Citation Format(s)
Unbiased FIR system identification in the presence of input and output interference. / So, H. C.
Midwest Symposium on Circuits and Systems. Vol. 2 IEEE, 1999. p. 696-699.Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45) › 32_Refereed conference paper (with ISBN/ISSN) › peer-review
