2D-DOA Estimation of LFM Signal Wideband Using Low Snapshots Dechirping Algorithm in a Two-Dimensional Circular Array

Subject Areas : Renewable energy

Abbas Partovi Sangi ¹ , Jasem Jamali ² , Mohammad Hossein Fatehi ³ , Mohammad Mehdi Ghanbarian ⁴

1 - Department of Electrical Engineering- Kazerun Branch, Islamic Azad University, Kazerun, Iran
2 - Department of Electrical Engineering- Kazerun Branch, Islamic Azad University, Kazerun, Iran
3 - Department of Electrical Engineering- Kazerun Branch, Islamic Azad University, Kazerun, Iran
4 - Department of Electrical Engineering- Kazerun Branch, Islamic Azad University, Kazerun, Iran

Received: 2021-06-09 Accepted : 2021-08-28 Published : 2021-08-23

Keywords: 2D-DOA wideband estimation, FrFt transform, 2D circular array, Dechirp algorithm, linear frequency modulation signals, modified-ESPRIT method,

Abstract :

Wideband linear frequency modulation (LFM) signals are widely used in systems such as radar, sonar, and mobile. 2D-DOA algorithms for LFM signals are relying on a large number of snapshots. For this reason, they are not suitable for low-power applications. In this paper, we present an algorithm-centered estimation method with low estimation of signal parameters via rotational invariance technique (ESPRIT) calculations based a 2D circular array using a fractal Fourier transform (FrFT). Furthermore, the utilization of a circular array facilitates the two-dimensional DOA calculation. Therefore, the procedure is that firstly, we develop the Dechirping process for LFM signals using the FrFT; secondly, we extend the ESPRIT algorithm- as used for linear arrays (ULA) - for 2D circular arrays (UCA). Finally, DOA calculations are made for a low number of snapshots with low computational volume. The simulation results of the proposed MESPRIT (i.e. modified ESPRIT) algorithm show that this algorithm outperforms compared to other algorithms like MUSIC and TSFDOA. We also have shown that the proposed method has an acceptable accuracy in low SNRs and creates less error in high SNRs. It was also demonstrated that for all algorithms, accuracy of azimuth angle is better than the elevation angle’s.  

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