Frequency Diversity Array for DOA Estimation

  • Nauman Anwar Baig Department of Electrical Engineering, College of Electrical & Mechanical Engineering, National University of Sciences & Technology, Pakistan.
  • Muhammad Bilal Malik Department of Electrical Engineering, College of Electrical and Mechanical Engineering, National University of Sciences and Technology, Pakistan.
  • Muhammad Zeeshan Department of Electrical Engineering, College of Electrical and Mechanical Engineering, National University of Sciences and Technology, Pakistan.

Abstract

The localization of targets has been presented in this article. DOA (Direction of Arrival) is an important parameter to be determined by radar. The MLE (Maximum Likelihood Estimator) has been widely used to accurately and efficiently estimate the DOAs of multiple targets. The targets at different ranges result in a variation in amplitude of the received signals, so an MLE estimator has to operate at all ranges. For accurate results of DOA, the complex amplitudes of multiple targets should not be much different and also the prior information of Doppler and number of targets is required. In this paper, an approach is proposed which uses the classical 2D algorithm to estimate range, Doppler and number of targets and then FDA (Frequency Diversity Array) is used to focus power in a particular range. As a result, the MLE can get data from a particular range cell where all targets have almost same amplitude and thus MLE can accurately estimate the DOAs of multiple targets. Simulations and results have confirmed the effectiveness of proposed approach.

Published
Oct 1, 2017
How to Cite
BAIG, Nauman Anwar; MALIK, Muhammad Bilal; ZEESHAN, Muhammad. Frequency Diversity Array for DOA Estimation. Mehran University Research Journal of Engineering and Technology, [S.l.], v. 36, n. 4, p. 10, oct. 2017. ISSN 2413-7219. Available at: <https://publications.muet.edu.pk/index.php/muetrj/article/view/24>. Date accessed: 29 mar. 2024. doi: http://dx.doi.org/10.22581/muet1982.1704.05.
This is an open Access Article published by Mehran University of Engineering and Technolgy, Jamshoro under CCBY 4.0 International License