NEW TRENDS FOR ANGLE OF ARRIVAL ESTIMATION

المؤلفون

  • Bassim Sayed Mohammed Electrical Engineering Department, University of Technology, Baghdad, Iraq مؤلف
  • Hadeer Hussein Ali Electrical Engineering, University of Technology, Baghdad, Iraq. مؤلف

الكلمات المفتاحية:

Angle of Arrival Estimation، MUSIC، Adaptive Array Antenna System، Signal to Noise Ratio

الملخص

The Angle Of Arrival (AOA) estimation of radio signal gained high attention, and effort in the last 20 years, since it is a very important tool for security purposes and for military operations, it is considered as an essential part of Electronic Warefare activities. Many techniques had been used for AOA like amplitude comparison, time difference, and the phase difference between two pairs of the array antenna. The most relevant techniques are (MUSIC) and (ESPIRT). These techniques suffer from many drawback points, like the need for intensive calculation complexity and high-speed processers. Moreover, they are suffering from the lack of audio channels for the estimated signals because they used spectral estimation by the Eigenvalue decomposition technique. In this paper new system is proposed, where linear adaptive array antenna in conjunction with MSE algorithm to meet the requirement for (AOA) and Signal to Noise Ratio (SNR) estimation of the received radio signal in RF band. The proposed system is mathematically modeled, simulated, and analyzed. The tested results are compared with the most recent and well-Known MUSIC technique. The estimation results of the proposed system show that the proposed system fulfills the most estimation design requirements. From the accuracy and the angular resolution capability point of view, the proposed system exhibits AOA accuracy very close to the MUSIC technique, while the angular resolution performance of MUSIC shows better results than the proposed system...

التنزيلات

Key Dates

منشور

2018-11-01

كيفية الاقتباس

NEW TRENDS FOR ANGLE OF ARRIVAL ESTIMATION. (2018). مجلة الهندسة والتنمية المستدامة, 22(6), 43-57. https://jeasd.uomustansiriyah.edu.iq/index.php/jeasd/article/view/344

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