A Rank Based High Resolution Bearing Estimation Method in Passive Arrays

Ali Ranjbaran, Anwar Hasni Abu Hassan, Eng Swee Kheng

Abstract


A rank based bearing estimation method of a passive array is proposed in this paper. Adding a random signal to an array data model to increase the rank and changing the location of the signal to reduce the rank, is the main action. To obtain the optimum estimation in noisy environments a criteria function is introduced. The peaks of the function give us the best candidate for location of the main targets. An array of three sensors with two independent targets is simulated to demonstrate the qualification.


Full Text: PDF DOI: 10.5539/mas.v5n1p169

Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.

Modern Applied Science   ISSN 1913-1844 (Print)   ISSN 1913-1852 (Online)

Copyright © Canadian Center of Science and Education

To make sure that you can receive messages from us, please add the 'ccsenet.org' domain to your e-mail 'safe list'. If you do not receive e-mail in your 'inbox', check your 'bulk mail' or 'junk mail' folders.