High-Noise Asymptotics of the Ziv-Zakai Bound
Document Type
Article
Publication Date
1-1-2022
Abstract
The Ziv-Zakai bound is a well-known lower bound on the minimum mean squared error. This article analyzes the performance of this bound in the practically relevant high-noise regime for a broad family of observation models. The goal is to understand whether this bound is tight, and in which scenarios it should be used. It is shown that, while the Ziv-Zakai bound is tight for a certain class of symmetric distributions, in general, it is not tight in the high-noise regime.
Identifier
85137901179 (Scopus)
Publication Title
IEEE Signal Processing Letters
External Full Text Location
https://doi.org/10.1109/LSP.2022.3203908
e-ISSN
15582361
ISSN
10709908
First Page
1933
Last Page
1937
Volume
29
Recommended Citation
Dytso, Alex; Cardone, Martina; and Zieder, Ian, "High-Noise Asymptotics of the Ziv-Zakai Bound" (2022). Faculty Publications. 3241.
https://digitalcommons.njit.edu/fac_pubs/3241
