Performance evaluation of time-delay estimation in non-Gaussian conditions

Gadi Shor, Hagit Messer

Research output: Contribution to conferencePaperpeer-review

Abstract

In recent years, time delay estimation TDE processors for non-Gaussian conditions were developed and it has been shown that exploiting the non-Gaussianity of the processes can lead to improved performance, relative to the Gaussian case. However, while for the later standard tools (as the Cramer-Rao bound) can easily be applied to predict the achievable performance, for the general, non-Gaussian case using such tools rarely leads to analytical solutions. In this paper we present a close-form expression for a figure of merit FOM for any TDE processor under any statistical model. It is then evaluated for different TDE processors and it is confirmed (by simulations) that the proposed FOM accurately predicts the performance of these processors for reasonable values of time-bandwidth product.

Original languageEnglish
Pages20-23
Number of pages4
StatePublished - 1997
EventProceedings of the 1997 IEEE Signal Processing Workshop on Higher-Order Statistics, SPW-HOS - Banff, Can
Duration: 21 Jul 199723 Jul 1997

Conference

ConferenceProceedings of the 1997 IEEE Signal Processing Workshop on Higher-Order Statistics, SPW-HOS
CityBanff, Can
Period21/07/9723/07/97

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