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 |
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ASJC Scopus subject areas
- Electrical and Electronic Engineering
Cite this
Prior mismatch in Bayesian direction of arrival estimation for sparse arrays. / Kantor, Joshua M.; Richmond, Christ; Correll, Bill; Bliss, Daniel.
IEEE National Radar Conference - Proceedings. Vol. 2015-June June. ed. Institute of Electrical and Electronics Engineers Inc., 2015. p. 811-816 7131107.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Prior mismatch in Bayesian direction of arrival estimation for sparse arrays
AU - Kantor, Joshua M.
AU - Richmond, Christ
AU - Correll, Bill
AU - Bliss, Daniel
PY - 2015/6/22
Y1 - 2015/6/22
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84937961020&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84937961020&partnerID=8YFLogxK
U2 - 10.1109/RADAR.2015.7131107
DO - 10.1109/RADAR.2015.7131107
M3 - Conference contribution
AN - SCOPUS:84937961020
VL - 2015-June
SP - 811
EP - 816
BT - IEEE National Radar Conference - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
ER -