Estimation near "Zero Information" points: Angle-of-arrival near the endfire

Eran Bashan*, Anthony J. Weiss, Yaakov Bar-Shalom

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

We examine large-sample properties of the maximumlikelihood estimator (MLE) in the vicinity of points where the Fisher information measure (FIM) equals zero. Under mild regularity conditions the MLE is asymptotically efficient and therefore lower bounded by the Cramér-Rao lower bound (CRLB) [5], which diverges for such points. When a linear sensor array is used for angle-of-arrival (AOA) estimation, the CRLB diverges as the AOA approaches π/2. We provide new results characterizing the MLE performance in the AOA problem.

Original languageEnglish
Pages (from-to)1250-1264
Number of pages15
JournalIEEE Transactions on Aerospace and Electronic Systems
Volume43
Issue number4
DOIs
StatePublished - Oct 2007

Fingerprint

Dive into the research topics of 'Estimation near "Zero Information" points: Angle-of-arrival near the endfire'. Together they form a unique fingerprint.

Cite this