Volume 21, Issue 3 (September 2025)                   IJEEE 2025, 21(3): 3523-3523 | Back to browse issues page

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Memarian Z, Majidi M. 2D DOA Estimation of Wideband and FH Signals Using Improved K-means Clustering and Implementation Considerations. IJEEE 2025; 21 (3) :3523-3523
URL: http://ijeee.iust.ac.ir/article-1-3523-en.html
2D DOA Estimation of Wideband and FH Signals Using Improved K-means Clustering and Implementation Considerations
Zahra Memarian , Mahdi Majidi
Abstract:   (102 Views)
This paper presents a two-dimensional (2D) direction of arrival (DOA) estimation method based on the popular correlative interferometer (CI) approach, incorporating practical considerations. Leveraging the flexibility of software-defined radio (SDR) platforms, the proposed array antenna model is designed according to the specifications of a dual-channel synchronous USRP B210 receiver and an appropriate RF switch. To enhance the speed and accuracy of 2D DOA estimation for narrowband, wideband (WB), and frequency hopping (FH) signals, this study introduces a method that integrates power spectrum density (PSD) and spectrogram analysis of the receiver’s instantaneous bandwidth with an optimized filter bank, to precisely detect active frequencies and their intervals. Additionally, a fast, modified K-means clustering algorithm is developed to refine DOA estimation for FH and WB signals across multiple active subchannels. Simulation results demonstrate improved DOA estimation accuracy in multipath conditions, particularly at longer distances, with further enhancements achieved through the proposed clustering method.
Keywords: 2D DOA Estimation, Wideband, Frequency Hopping, Filter Bank, Modified K-means Clustering.
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Type of Study: Research Paper | Subject: Communication Systems
Received: 2024/11/01 | Revised: 2025/05/18 | Accepted: 2025/04/03
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© 2022 by the authors. Licensee IUST, Tehran, Iran. This is an open access journal distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license.