| Title | k-Space Decomposition Based Super-resolution Three-dimensional Imaging Method for Millimeter Wave Radar |
| Publication Type | Conference Paper |
| Year of Publication | 2020 |
| Authors | Omori, T., Isono, Y., Kondo, K., Akamine, Y., Kidera, S. |
| Conference Name | 2020 IEEE Radar Conference (RadarConf20) |
| Keywords | collision avoidance, compositionality, computational complexity, cyber physical systems, decomposition, higher frequency e.g, image enhancement, Image reconstruction, Image resolution, Imaging, k-space decomposition, k-space decomposition based RPM, k-space decomposition based superresolution three-dimensional imaging method, Laser radar, Metrics, millimeter wave imaging radar system, Millimeter wave radar, millimetre wave imaging, multifunctional imaging algorithm, pubcrawl, Radar, radar imaging, Range points migration (RPM), SAR, Scattering, Short range three-dimensional imaging, Super-resolution imaging, synthetic aperture radar |
| Abstract | Millimeter wave imaging radar is indispensible for collision avoidance of self-driving system, especially in optically blurred visions. The range points migration (RPM) is one of the most promising imaging algorithms, which provides a number of advantages from synthetic aperture radar (SAR), in terms of accuracy, computational complexity, and potential for multifunctional imaging. The inherent problem in the RPM is that it suffers from lower angular resolution in narrower frequency band even if higher frequency e.g. millimeter wave, signal is exploited. To address this problem, the k-space decomposition based RPM has been developed. This paper focuses on the experimental validation of this method using the X-band or millimeter wave radar system, and demonstrated that our method significantly enhances the reconstruction accuracy in three-dimensional images for the two simple spheres and realistic vehicle targets. |
| DOI | 10.1109/RadarConf2043947.2020.9266549 |
| Citation Key | omori_k-space_2020 |
k-Space Decomposition Based Super-resolution Three-dimensional Imaging Method for Millimeter Wave Radar