Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
612-822-4611

  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Statistical Error Analysis of a DOA Estimator for a PCL System Using the Cramer-RAO Bound Theorem

Statistical Error Analysis of a DOA Estimator for a PCL System Using the Cramer-RAO Bound Theorem

Say, Kerim
Air Force Institute of Technology (U S )

Paperback

Technology & EngineeringGeneral EducationProbability & Statistics

ISBN10: 1249449766
ISBN13: 9781249449768
Publisher: Biblioscholar
Published: Sep 20 2012
Pages: 112
Weight: 0.37
Height: 0.23 Width: 6.14 Depth: 9.21
Language: English
Direction of Arrival (DOA) estimation of signals has been a popular research area in Signal Processing. DOA estimation also has a significant role in the object location process of Passive Coherent Location (PCL) systems. PCL systems have been in open literature since 1986 and their applications are not as clearly understood as the DOA estimation problem. However, they are the focus of many current research efforts and show much promise. The purpose of this research is to analyze the DOA estimation errors in a PCL system. The performance of DOA estimators is studied using the Cramer Rao Bound (CRB) Theorem. The CRB provides a lower bound on the variance of unbiased DOA estimators. Since variance is a desirable property for measuring the accuracy of an estimator, the CRB gives a good indication about the performance of an estimator.

Also in

General Education

View All