Abstract
We study the mean-squared-error (MSE) performance of Bayesian direction-of-arrival (DOA) estimation for sparse linear arrays in which prior belief about the target location is incorporated into the estimation process. We utilize a recent extension of the method of interval errors (MIE) to the case of maximum a posteriori (MAP) direction-of-arrival estimation to more accurately predict low-medium MSE values in the presence of prior mismatch. We also develop a misspecified Cramér-Rao bound on MAP estimation that can improve the performance of MIE. We specialize to log-periodic arrays to conduct a notional trade study in which we consider the trade in improved estimation performance potentially possible with larger sparser arrays vs the increased sensitivity to incorrectly specified priors.
Original language | English (US) |
---|---|
Title of host publication | IEEE National Radar Conference - Proceedings |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 811-816 |
Number of pages | 6 |
Volume | 2015-June |
Edition | June |
DOIs | |
State | Published - Jun 22 2015 |
Event | 2015 IEEE International Radar Conference, RadarCon 2015 - Arlington, United States Duration: May 10 2015 → May 15 2015 |
Other
Other | 2015 IEEE International Radar Conference, RadarCon 2015 |
---|---|
Country | United States |
City | Arlington |
Period | 5/10/15 → 5/15/15 |
ASJC Scopus subject areas
- Electrical and Electronic Engineering