Graduate Thesis Or Dissertation

 

Target Localization Using Approximate Maximum Likelihood for MIMO Radar Systems Public Deposited

Downloadable Content

Download PDF
https://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/0z7092734

Descriptions

Attribute NameValues
Creator
Abstract
  • This thesis deals with target localization using multiple-input multiple-output (MIMO) radars. In the field of communications, navigation, radar, and sensing networks, one of the common and most sophisticated problems is target localization. We develop a target localization scheme in distributed MIMO radar systems using bistatic range measurements. The localization approach consists of two phases. First, measurements are divided into multiple groups based on the various transmitter and receiver elements. For each group, an approximate maximum likelihood (AML) estimator is proposed to estimate the location of a target. Then, the estimation results from these different groups are combined to form the final estimate. The performance of the proposed algorithm is validated by simulation and is shown to reach the Cram\'{e}r-Rao lower bound (CRLB) in a range of measurement noise levels. The main advantage of the proposed algorithm is that it achieves a higher accuracy than existing schemes for locating a target position in high-noise conditions.
Contributor
License
Resource Type
Date Issued
Degree Level
Degree Name
Degree Field
Degree Grantor
Commencement Year
Advisor
Committee Member
Academic Affiliation
Rights Statement
Publisher
Peer Reviewed
Language
Embargo date range
  • 2019-06-15 to 2019-12-02

Relationships

Parents:

This work has no parents.

In Collection:

Items