Scalable ESPRIT Processor for Direction-of-Arrival Estimation of Frequency Modulated Continuous Wave Radar
The estimation of signal parameters via rotational invariance techniques (ESPRIT) is an algorithm that uses the shift-invariant properties of the array antenna to estimate the direction-of-arrival (DOA) of signals received in the array antenna. Since the ESPRIT algorithm requires high-complexity ope...
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MDPI AG
2021-03-01
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| Series: | Electronics |
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| Online Access: | https://www.mdpi.com/2079-9292/10/6/695 |
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| author | Yongchul Jung Hohyub Jeon Seongjoo Lee Yunho Jung |
| author_facet | Yongchul Jung Hohyub Jeon Seongjoo Lee Yunho Jung |
| author_sort | Yongchul Jung |
| collection | DOAJ |
| description | The estimation of signal parameters via rotational invariance techniques (ESPRIT) is an algorithm that uses the shift-invariant properties of the array antenna to estimate the direction-of-arrival (DOA) of signals received in the array antenna. Since the ESPRIT algorithm requires high-complexity operations such as covariance matrix and eigenvalue decomposition, a hardware processor must be implemented such that the DOA is estimated in real time. Additionally, the ESPRIT processor should support a scalable number of antenna configuration for DOA estimation in various applications because the performance of ESPRIT depends on the number of antennas. Therefore, we propose an ESPRIT processor that supports two to eight scalable antenna configuration. In addition, since the proposed ESPRIT processor is based on multiple invariances (MI) algorithm, it can achieve a much better performance than the existing ESPRIT processor. The execution time is reduced by simplifying the Jacobi method, which has the most significant computational complexity for calculating eigenvalue decomposition (EVD) in ESPRIT. Moreover, the ESPRIT processor was designed using hardware description language (HDL), and an FPGA-based verification was performed. The proposed ESPRIT processor was implemented with 10,088 slice registers, 18,207 LUTs, and 80 DSPs, and the slice register, LUT, and DSP were reduced by up to 71.45%, 54.5%, and 68.38%, respectively, compared to the existing structure. |
| first_indexed | 2024-03-10T13:12:38Z |
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| id | doaj.art-76f9627963d6479db86d48efcaf84d58 |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-03-10T13:12:38Z |
| publishDate | 2021-03-01 |
| publisher | MDPI AG |
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| series | Electronics |
| spelling | doaj.art-76f9627963d6479db86d48efcaf84d582023-11-21T10:39:59ZengMDPI AGElectronics2079-92922021-03-0110669510.3390/electronics10060695Scalable ESPRIT Processor for Direction-of-Arrival Estimation of Frequency Modulated Continuous Wave RadarYongchul Jung0Hohyub Jeon1Seongjoo Lee2Yunho Jung3School of Electronics and Information Engineering, Korea Aerospace University, Goyang-si 10540, KoreaSchool of Electronics and Information Engineering, Korea Aerospace University, Goyang-si 10540, KoreaDepartment of Information and Communication Engineering and Convergence Engineering for Intelligent Drone, Sejong University, Seoul 05006, KoreaSchool of Electronics and Information Engineering, Korea Aerospace University, Goyang-si 10540, KoreaThe estimation of signal parameters via rotational invariance techniques (ESPRIT) is an algorithm that uses the shift-invariant properties of the array antenna to estimate the direction-of-arrival (DOA) of signals received in the array antenna. Since the ESPRIT algorithm requires high-complexity operations such as covariance matrix and eigenvalue decomposition, a hardware processor must be implemented such that the DOA is estimated in real time. Additionally, the ESPRIT processor should support a scalable number of antenna configuration for DOA estimation in various applications because the performance of ESPRIT depends on the number of antennas. Therefore, we propose an ESPRIT processor that supports two to eight scalable antenna configuration. In addition, since the proposed ESPRIT processor is based on multiple invariances (MI) algorithm, it can achieve a much better performance than the existing ESPRIT processor. The execution time is reduced by simplifying the Jacobi method, which has the most significant computational complexity for calculating eigenvalue decomposition (EVD) in ESPRIT. Moreover, the ESPRIT processor was designed using hardware description language (HDL), and an FPGA-based verification was performed. The proposed ESPRIT processor was implemented with 10,088 slice registers, 18,207 LUTs, and 80 DSPs, and the slice register, LUT, and DSP were reduced by up to 71.45%, 54.5%, and 68.38%, respectively, compared to the existing structure.https://www.mdpi.com/2079-9292/10/6/695direction-of-arrival (DOA)estimation of signal parameters via rotational invariance techniques (ESPRIT)Jacobi methodmultiple invariances (MI)-ESPRITuniform linear array (ULA) |
| spellingShingle | Yongchul Jung Hohyub Jeon Seongjoo Lee Yunho Jung Scalable ESPRIT Processor for Direction-of-Arrival Estimation of Frequency Modulated Continuous Wave Radar Electronics direction-of-arrival (DOA) estimation of signal parameters via rotational invariance techniques (ESPRIT) Jacobi method multiple invariances (MI)-ESPRIT uniform linear array (ULA) |
| title | Scalable ESPRIT Processor for Direction-of-Arrival Estimation of Frequency Modulated Continuous Wave Radar |
| title_full | Scalable ESPRIT Processor for Direction-of-Arrival Estimation of Frequency Modulated Continuous Wave Radar |
| title_fullStr | Scalable ESPRIT Processor for Direction-of-Arrival Estimation of Frequency Modulated Continuous Wave Radar |
| title_full_unstemmed | Scalable ESPRIT Processor for Direction-of-Arrival Estimation of Frequency Modulated Continuous Wave Radar |
| title_short | Scalable ESPRIT Processor for Direction-of-Arrival Estimation of Frequency Modulated Continuous Wave Radar |
| title_sort | scalable esprit processor for direction of arrival estimation of frequency modulated continuous wave radar |
| topic | direction-of-arrival (DOA) estimation of signal parameters via rotational invariance techniques (ESPRIT) Jacobi method multiple invariances (MI)-ESPRIT uniform linear array (ULA) |
| url | https://www.mdpi.com/2079-9292/10/6/695 |
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