Geometric Sequence Decomposition-Based Interference Cancellation in Automotive Radar Systems
Radar signals generated from other vehicles can act as interference to ego-vehicle, which degrades the inherent detection performance of radar. In this paper, we address an efficient solution to the interference problem in frequency-modulated continuous wave (FMCW)-based automotive radar systems, na...
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| Format: | Article |
| Language: | English |
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IEEE
2022-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/9674937/ |
| _version_ | 1819282740118290432 |
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| author | Woong-Hee Lee Seongwook Lee |
| author_facet | Woong-Hee Lee Seongwook Lee |
| author_sort | Woong-Hee Lee |
| collection | DOAJ |
| description | Radar signals generated from other vehicles can act as interference to ego-vehicle, which degrades the inherent detection performance of radar. In this paper, we address an efficient solution to the interference problem in frequency-modulated continuous wave (FMCW)-based automotive radar systems, named geometric sequence decomposition based interference cancellation (GSD-IC). With the method of GSD-IC, we can decompose the received signal into different non-orthogonal superposed signals, which means the interference signal and the signal reflected from the desired target are separated. It is based on the facts that 1) each single sampled signal can be interpreted as a geometric sequence and 2) the useful physical features, such as the time delay and the Doppler frequency, are extracted after converting the superposition of these geometric sequences into several transformed matrices. Through this approach, we can achieve effective interference signal cancellation while minimizing the loss of meaningful target information. Moreover, the proposed method does not require the generation of specific radar waveforms, and can mitigate interference through signal processing even with existing waveforms. Numerical results show that our algorithm outperforms existing methods in various scenarios. |
| first_indexed | 2024-12-24T01:20:23Z |
| format | Article |
| id | doaj.art-1e7eb1e13ce14cdfa73a1c41fdde9ced |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-24T01:20:23Z |
| publishDate | 2022-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-1e7eb1e13ce14cdfa73a1c41fdde9ced2022-12-21T17:22:39ZengIEEEIEEE Access2169-35362022-01-01104318432710.1109/ACCESS.2022.31415439674937Geometric Sequence Decomposition-Based Interference Cancellation in Automotive Radar SystemsWoong-Hee Lee0https://orcid.org/0000-0002-1064-5123Seongwook Lee1https://orcid.org/0000-0001-9115-4897Department of Control and Instrumentation Engineering, Korea University, Sejong-si, Republic of KoreaSchool of Electronics and Information Engineering, College of Engineering, Korea Aerospace University, Gyeonggi-do, Republic of KoreaRadar signals generated from other vehicles can act as interference to ego-vehicle, which degrades the inherent detection performance of radar. In this paper, we address an efficient solution to the interference problem in frequency-modulated continuous wave (FMCW)-based automotive radar systems, named geometric sequence decomposition based interference cancellation (GSD-IC). With the method of GSD-IC, we can decompose the received signal into different non-orthogonal superposed signals, which means the interference signal and the signal reflected from the desired target are separated. It is based on the facts that 1) each single sampled signal can be interpreted as a geometric sequence and 2) the useful physical features, such as the time delay and the Doppler frequency, are extracted after converting the superposition of these geometric sequences into several transformed matrices. Through this approach, we can achieve effective interference signal cancellation while minimizing the loss of meaningful target information. Moreover, the proposed method does not require the generation of specific radar waveforms, and can mitigate interference through signal processing even with existing waveforms. Numerical results show that our algorithm outperforms existing methods in various scenarios.https://ieeexplore.ieee.org/document/9674937/Automotive frequency-modulated continuous wave (FMCW) radargeometric sequence decomposition (GSD)interference cancellationjoint delay and Doppler estimation |
| spellingShingle | Woong-Hee Lee Seongwook Lee Geometric Sequence Decomposition-Based Interference Cancellation in Automotive Radar Systems IEEE Access Automotive frequency-modulated continuous wave (FMCW) radar geometric sequence decomposition (GSD) interference cancellation joint delay and Doppler estimation |
| title | Geometric Sequence Decomposition-Based Interference Cancellation in Automotive Radar Systems |
| title_full | Geometric Sequence Decomposition-Based Interference Cancellation in Automotive Radar Systems |
| title_fullStr | Geometric Sequence Decomposition-Based Interference Cancellation in Automotive Radar Systems |
| title_full_unstemmed | Geometric Sequence Decomposition-Based Interference Cancellation in Automotive Radar Systems |
| title_short | Geometric Sequence Decomposition-Based Interference Cancellation in Automotive Radar Systems |
| title_sort | geometric sequence decomposition based interference cancellation in automotive radar systems |
| topic | Automotive frequency-modulated continuous wave (FMCW) radar geometric sequence decomposition (GSD) interference cancellation joint delay and Doppler estimation |
| url | https://ieeexplore.ieee.org/document/9674937/ |
| work_keys_str_mv | AT woongheelee geometricsequencedecompositionbasedinterferencecancellationinautomotiveradarsystems AT seongwooklee geometricsequencedecompositionbasedinterferencecancellationinautomotiveradarsystems |