Reisenfeld, Sam

Tsui, Jeffrey

Journal of Telecommunications and Information Technology

Macquarie University ResearchOnline

A highly accurate DFT-based parameter estimator for complex exponentials

A highly accurate DFT-based complex exponential parameter estimation algorithm is presented in this paper. It will be shown that for large number of samples and high signal to noise ratio (SNR), the phase estimation error variance performance is only 0.0475 dB above the Cramer-Rao lower bound (CRLB) for phase estimation with unknown frequency and phase. The amplitude estimation error variance performance was found to lay on the CRLB for amplitude estimation. Exact phase and amplitude estimation can be achieved in the noiseless case with this algorithm. The algorithm has low implementation computational complexity and is suitable for numerous real time digital signal processing applications

A highly accurate DFT-based parameter estimator for complex exponentials

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Macquarie University ResearchOnline

Biblioteka Nauki - repozytorium artykuÅÃ³w

A highly accurate DFT-based parameter estimator for complex exponentials

Abstract

Similar works

Full text

Available Versions

Macquarie University ResearchOnline

Biblioteka Nauki - repozytorium artykuÅÃ³w

Biblioteka Nauki - repozytorium artykuÅÃ³w