FMCW Radar Estimation Algorithm with High Resolution and Low Complexity Based on Reduced Search Area
We propose a frequency-modulated continuous wave (FMCW) radar estimation algorithm with high resolution and low complexity. The fast Fourier transform (FFT)-based algorithms and multiple signal classification (MUSIC) algorithms are used as algorithms for estimating target parameters in the FMCW rada...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-02-01
|
| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/22/3/1202 |
| _version_ | 1827658605102366720 |
|---|---|
| author | Bong-Seok Kim Youngseok Jin Jonghun Lee Sangdong Kim |
| author_facet | Bong-Seok Kim Youngseok Jin Jonghun Lee Sangdong Kim |
| author_sort | Bong-Seok Kim |
| collection | DOAJ |
| description | We propose a frequency-modulated continuous wave (FMCW) radar estimation algorithm with high resolution and low complexity. The fast Fourier transform (FFT)-based algorithms and multiple signal classification (MUSIC) algorithms are used as algorithms for estimating target parameters in the FMCW radar systems. FFT-based and MUSIC algorithms have tradeoff characteristics between resolution performance and complexity. While FFT-based algorithms have the advantage of very low complexity, they have the disadvantage of a low-resolution performance; that is, estimating multiple targets with similar parameters as a single target. On the other hand, subspace-based algorithms have the advantage of a high-resolution performance, but have a problem of very high complexity. In this paper, we propose an algorithm with reduced complexity, while achieving the high-resolution performance of the subspace-based algorithm by utilizing the advantages of the two algorithms; namely, the low-complexity advantage of FFT-based algorithms and the high-resolution performance of the MUSIC algorithms. The proposed algorithm first reduces the amount of data used as input to the subspace-based algorithm by using the estimation results obtained by FFT. Secondly, it significantly reduces the range of search regions considered for pseudo-spectrum calculations in the subspace-based algorithm. The simulation and experiment results show that the proposed algorithm achieves a similar performance compared with the conventional and low complexity MUSIC algorithms, despite its considerably lower complexity. |
| first_indexed | 2024-03-09T23:06:59Z |
| format | Article |
| id | doaj.art-8262e136e79b436b8b23b5b762eea307 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-09T23:06:59Z |
| publishDate | 2022-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-8262e136e79b436b8b23b5b762eea3072023-11-23T17:52:10ZengMDPI AGSensors1424-82202022-02-01223120210.3390/s22031202FMCW Radar Estimation Algorithm with High Resolution and Low Complexity Based on Reduced Search AreaBong-Seok Kim0Youngseok Jin1Jonghun Lee2Sangdong Kim3Division of Automotive Technology, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu 42988, KoreaDivision of Automotive Technology, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu 42988, KoreaDivision of Automotive Technology, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu 42988, KoreaDivision of Automotive Technology, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu 42988, KoreaWe propose a frequency-modulated continuous wave (FMCW) radar estimation algorithm with high resolution and low complexity. The fast Fourier transform (FFT)-based algorithms and multiple signal classification (MUSIC) algorithms are used as algorithms for estimating target parameters in the FMCW radar systems. FFT-based and MUSIC algorithms have tradeoff characteristics between resolution performance and complexity. While FFT-based algorithms have the advantage of very low complexity, they have the disadvantage of a low-resolution performance; that is, estimating multiple targets with similar parameters as a single target. On the other hand, subspace-based algorithms have the advantage of a high-resolution performance, but have a problem of very high complexity. In this paper, we propose an algorithm with reduced complexity, while achieving the high-resolution performance of the subspace-based algorithm by utilizing the advantages of the two algorithms; namely, the low-complexity advantage of FFT-based algorithms and the high-resolution performance of the MUSIC algorithms. The proposed algorithm first reduces the amount of data used as input to the subspace-based algorithm by using the estimation results obtained by FFT. Secondly, it significantly reduces the range of search regions considered for pseudo-spectrum calculations in the subspace-based algorithm. The simulation and experiment results show that the proposed algorithm achieves a similar performance compared with the conventional and low complexity MUSIC algorithms, despite its considerably lower complexity.https://www.mdpi.com/1424-8220/22/3/1202FMCW radarestimationsuper resolutionlow complexitysearch area |
| spellingShingle | Bong-Seok Kim Youngseok Jin Jonghun Lee Sangdong Kim FMCW Radar Estimation Algorithm with High Resolution and Low Complexity Based on Reduced Search Area Sensors FMCW radar estimation super resolution low complexity search area |
| title | FMCW Radar Estimation Algorithm with High Resolution and Low Complexity Based on Reduced Search Area |
| title_full | FMCW Radar Estimation Algorithm with High Resolution and Low Complexity Based on Reduced Search Area |
| title_fullStr | FMCW Radar Estimation Algorithm with High Resolution and Low Complexity Based on Reduced Search Area |
| title_full_unstemmed | FMCW Radar Estimation Algorithm with High Resolution and Low Complexity Based on Reduced Search Area |
| title_short | FMCW Radar Estimation Algorithm with High Resolution and Low Complexity Based on Reduced Search Area |
| title_sort | fmcw radar estimation algorithm with high resolution and low complexity based on reduced search area |
| topic | FMCW radar estimation super resolution low complexity search area |
| url | https://www.mdpi.com/1424-8220/22/3/1202 |
| work_keys_str_mv | AT bongseokkim fmcwradarestimationalgorithmwithhighresolutionandlowcomplexitybasedonreducedsearcharea AT youngseokjin fmcwradarestimationalgorithmwithhighresolutionandlowcomplexitybasedonreducedsearcharea AT jonghunlee fmcwradarestimationalgorithmwithhighresolutionandlowcomplexitybasedonreducedsearcharea AT sangdongkim fmcwradarestimationalgorithmwithhighresolutionandlowcomplexitybasedonreducedsearcharea |