Deconvolution and Total Least Squares in Finding the Impulse Response of an Electromagnetic System from Measured Data

Jahangir Rahman, Tapan Kumar Sarkar

Research output: Contribution to journalArticlepeer-review

37 Scopus citations

Abstract

Total least squares (TLS) is a method of solving overdetermined sets of (linear equations AX ≈ b when there are errors both in the observation vector b (m × 1) and in the data matrix A (m × n). This method is particularly useful when the data matrix A is singular or highly ill conditioned. We present the method of finding the TLS by applying the singular value decomposition to the discrete deconvolution problem. Numerical results are presented for finding the impulse response of a transmission line from experimental data. The advantage of this approach is that this method can be automated based on the signal to noise ratio of the measured data.

Original languageEnglish (US)
Pages (from-to)416-421
Number of pages6
JournalIEEE Transactions on Antennas and Propagation
Volume43
Issue number4
DOIs
StatePublished - Apr 1995

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Deconvolution and Total Least Squares in Finding the Impulse Response of an Electromagnetic System from Measured Data'. Together they form a unique fingerprint.

Cite this