BUIR logo
Communities & Collections
All of BUIR
  • English
  • Türkçe
Log In
Please note that log in via username/password is only available to Repository staff.
Have you forgotten your password?
  1. Home
  2. Browse by Author

Browsing by Author "Fidan, S."

Filter results by typing the first few letters
Now showing 1 - 1 of 1
  • Results Per Page
  • Sort Options
  • Loading...
    Thumbnail Image
    ItemOpen Access
    Multipath separation-direction of arrival (MS-DOA) with genetic search algorithm for HF channels
    (ELSEVIER, 2009) Arikan, F.; Koroglu, O.; Fidan, S.; Arıkan, Orhan; Guldogan, M. B.
    Direction-of-Arrival (DOA) defines the estimation of arrival angles of an electromagnetic wave impinging on a set of sensors. For dispersive and time-varying HF channels, where the propagating wave also suffers from the multipath phenomena, estimation of DOA is a very challenging problem. Multipath Separation-Direction of Arrival (MS-DOA), that is developed to estimate both the arrival angles in elevation and azimuth and the incoming signals at the output of the reference antenna with very high accuracy, proves itself as a strong alternative in DOA estimation for HF channels. In MS-DOA, a linear system of equations is formed using the coefficients of the basis vector for the array output vector, the incoming signal vector and the array manifold. The angles of arrival in elevation and azimuth are obtained as the maximizers of the sum of the magnitude squares of the projection of the signal coefficients on the column space of the array manifold. In this study, alternative Genetic Search Algorithms (GA) for the maximizers of the projection sum are investigated using simulated and experimental ionospheric channel data. It is observed that GA combined with MS-DOA is a powerful alternative in online DOA estimation and can be further developed according to the channel characteristics of a specific HF link.

About the University

  • Academics
  • Research
  • Library
  • Students
  • Stars
  • Moodle
  • WebMail

Using the Library

  • Collections overview
  • Borrow, renew, return
  • Connect from off campus
  • Interlibrary loan
  • Hours
  • Plan
  • Intranet (Staff Only)

Research Tools

  • EndNote
  • Grammarly
  • iThenticate
  • Mango Languages
  • Mendeley
  • Turnitin
  • Show more ..

Contact

  • Bilkent University
  • Main Campus Library
  • Phone: +90(312) 290-1298
  • Email: dspace@bilkent.edu.tr

Bilkent University Library © 2015-2025 BUIR

  • Privacy policy
  • Send Feedback