Low Complexity Super-Resolution Wideband DOA Estimation for LFM Signals Using FFT Dechirp Algorithm with a Few Snapshots
Wideband linear frequency modulation (LFM) signals are widely used in radar, sonar, mobile, and similar applications. One of the common problems of algorithms for estimating the direction of arrival (DOA) of LFM signals is that the number of snapshots must be large for good estimation. Therefore, th...
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| Published in: | Circuits, systems, and signal processing Vol. 42; no. 11; pp. 6591 - 6613 |
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| Abstract | Wideband linear frequency modulation (LFM) signals are widely used in radar, sonar, mobile, and similar applications. One of the common problems of algorithms for estimating the direction of arrival (DOA) of LFM signals is that the number of snapshots must be large for good estimation. Therefore, they are not suitable for real-time and low-power applications. In this paper, we proposed a method of estimating DOA based on the sparse iterative covariance (SPICE) algorithm, which has features such as low computational complexity for the uniform linear array (ULA) using the Fourier transform (FFT). We first developed the dechirp process for linear frequency modulation signals using the Fourier transform. Then we modified the SPICE algorithm for linear arrays. Finally, we have obtained the calculation of the DOA estimation for a few snapshots with low computational complexity and high resolution. Compared to other methods, the simulation results of the proposed LSPICE algorithm show an increase in estimation accuracy, higher resolution, more acceptable accuracy in low SNRs, less error in high SNRs, favorable response with low snapshots, and lower computational complexity. |
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| AbstractList | Wideband linear frequency modulation (LFM) signals are widely used in radar, sonar, mobile, and similar applications. One of the common problems of algorithms for estimating the direction of arrival (DOA) of LFM signals is that the number of snapshots must be large for good estimation. Therefore, they are not suitable for real-time and low-power applications. In this paper, we proposed a method of estimating DOA based on the sparse iterative covariance (SPICE) algorithm, which has features such as low computational complexity for the uniform linear array (ULA) using the Fourier transform (FFT). We first developed the dechirp process for linear frequency modulation signals using the Fourier transform. Then we modified the SPICE algorithm for linear arrays. Finally, we have obtained the calculation of the DOA estimation for a few snapshots with low computational complexity and high resolution. Compared to other methods, the simulation results of the proposed LSPICE algorithm show an increase in estimation accuracy, higher resolution, more acceptable accuracy in low SNRs, less error in high SNRs, favorable response with low snapshots, and lower computational complexity. |
| Author | Partovi Sangi, Abbas Fatehi-Dindarlou, Mohammad Hossein Jamali, Jasem Ghanbarian, Mohammad Mehdi |
| Author_xml | – sequence: 1 givenname: Abbas surname: Partovi Sangi fullname: Partovi Sangi, Abbas organization: Department of Electrical Engineering, Kazerun Branch, Islamic Azad University – sequence: 2 givenname: Jasem surname: Jamali fullname: Jamali, Jasem email: jasem.jamali055@gmail.com organization: Department of Electrical Engineering, Kazerun Branch, Islamic Azad University – sequence: 3 givenname: Mohammad Hossein surname: Fatehi-Dindarlou fullname: Fatehi-Dindarlou, Mohammad Hossein organization: Department of Electrical Engineering, Kazerun Branch, Islamic Azad University – sequence: 4 givenname: Mohammad Mehdi surname: Ghanbarian fullname: Ghanbarian, Mohammad Mehdi organization: Department of Electrical Engineering, Kazerun Branch, Islamic Azad University |
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| Keywords | AMV LFM signals ULA LSPICE Dechirp algorithm FFT transform |
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| Snippet | Wideband linear frequency modulation (LFM) signals are widely used in radar, sonar, mobile, and similar applications. One of the common problems of algorithms... |
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| SubjectTerms | Accuracy Algorithms Broadband Circuits and Systems Complexity Direction of arrival Electrical Engineering Electronics and Microelectronics Engineering Estimation Fast Fourier transformations Fourier transforms Frequency modulation Instrumentation Iterative methods Linear arrays Signal,Image and Speech Processing |
| Title | Low Complexity Super-Resolution Wideband DOA Estimation for LFM Signals Using FFT Dechirp Algorithm with a Few Snapshots |
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