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Generally, the 2-D high-resolution always conflicts with the real-time requirement in conventional SAR imaging. This article suggests an automotive video SAR (ViSAR) imaging technique based on sub-aperture spectrum fusion to address this issue. Firstly, the scene space variation problem caused by close observation distance in automotive SAR is analyzed. Moreover, the sub-aperture implementation method, frame rate and resolution of automotive ViSAR are also introduced. Then, the improved Range Doppler algorithm (RDA) is used to focus the sub-aperture data. Finally, a sub-aperture stitching strategy is proposed to obtain a high-resolution frame image. Compared with the available ViSAR imaging method, the proposed method is more efficient, performs better, and is more appropriate for automotive ViSAR. The simulation results and actual data of the automotive SAR validate the effectiveness of the proposed method.<\/jats:p>","DOI":"10.3390\/rs15020476","type":"journal-article","created":{"date-parts":[[2023,1,13]],"date-time":"2023-01-13T04:02:04Z","timestamp":1673582524000},"page":"476","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Implementation Method of Automotive Video SAR (ViSAR) Based on Sub-Aperture Spectrum Fusion"],"prefix":"10.3390","volume":"15","author":[{"given":"Ping","family":"Guo","sequence":"first","affiliation":[{"name":"Xi\u2019an Key Laboratory of Network Convergence Communication, Xi\u2019an University of Science and Technology, Xi\u2019an 710054, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fuen","family":"Wu","sequence":"additional","affiliation":[{"name":"Xi\u2019an Key Laboratory of Network Convergence Communication, Xi\u2019an University of Science and Technology, Xi\u2019an 710054, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9213-0085","authenticated-orcid":false,"given":"Shiyang","family":"Tang","sequence":"additional","affiliation":[{"name":"National Laboratory of Radar Signal Processing, Xidian University, Xi\u2019an 710071, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chenghao","family":"Jiang","sequence":"additional","affiliation":[{"name":"National Laboratory of Radar Signal Processing, Xidian University, Xi\u2019an 710071, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Changjie","family":"Liu","sequence":"additional","affiliation":[{"name":"Xi\u2019an Key Laboratory of Network Convergence Communication, Xi\u2019an University of Science and Technology, Xi\u2019an 710054, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2023,1,13]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"7572","DOI":"10.1109\/JIOT.2021.3130054","article-title":"Autonomous Driving Security: State of the Art and Challenges","volume":"9","author":"Gao","year":"2022","journal-title":"IEEE Internet Things J."},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Cui, H., Wu, J., Zhang, J., Chowdhary, G., and Norris, W. (2021, January 19\u201322). 3D Detection and Tracking for On-road Vehicles with a Monovision Camera and Dual Low-cost 4D mmWave Radars. Proceedings of the 2021 IEEE International Intelligent Transportation Systems Conference (ITSC), Indianapolis, IN, USA.","DOI":"10.1109\/ITSC48978.2021.9564904"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"94","DOI":"10.1109\/MITS.2019.2907630","article-title":"A Review of Sensor Technologies for Perception in Automated Driving","volume":"11","author":"Marti","year":"2019","journal-title":"IEEE Intell. Transp. Syst. Mag."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"98","DOI":"10.1109\/MSP.2020.2978507","article-title":"MIMO Radar for Advanced Driver-Assistance Systems and Autonomous Driving: Advantages and Challenges","volume":"37","author":"Sun","year":"2020","journal-title":"IEEE Signal Process. Mag."},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Laribi, A., Hahn, M., Dickmann, J., and Waldschmidt, C. (2018, January 15\u201317). Performance Investigation of Automotive SAR Imaging. Proceedings of the 2018 IEEE MTT-S International Conference on Microwaves for Intelligent Mobility (ICMIM), Munich, Germany.","DOI":"10.1109\/ICMIM.2018.8443554"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"35599","DOI":"10.1109\/ACCESS.2021.3062084","article-title":"Navigation-Aided Automotive SAR for High-Resolution Imaging of Driving Environments","volume":"9","author":"Tagliaferri","year":"2021","journal-title":"IEEE Access"},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Wu, H., and Zwick, T. (2009, January 16\u201318). Automotive SAR for Parking Lot Detection. Proceedings of the 2009 German Microwave Conference, Munich, Germany.","DOI":"10.1109\/GEMIC.2009.4815910"},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Iqbal, H., Sajjad, M.B., Mueller, M., and Waldschmidt, C. (2015\u20132, January 30). SAR imaging in an automotive scenario. Proceedings of the 2015 IEEE 15th Mediterranean Microwave Symposium (MMS), Lecce, Italy.","DOI":"10.1109\/MMS.2015.7375430"},{"key":"ref_9","unstructured":"Kobayashi, T., Yamada, H., Sugiyama, Y., Muramatsu, S., and Yamagchi, Y. (2018, January 23\u201326). Study on Imaging Method and Doppler Effect for Millimeter Wave Automotive SAR. Proceedings of the 2018 International Symposium on Antennas and Propagation (ISAP), Busan, Republic of Korea."},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Iqbal, H., Schartel, M., Roos, F., Urban, J., and Waldschmidt, C. (2018\u20132, January 31). Implementation of a SAR Demonstrator for Automotive Imaging. Proceedings of the 2018 18th Mediterranean Microwave Symposium (MMS), Istanbul, Turkey.","DOI":"10.1109\/MMS.2018.8611814"},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Rizzi, M., Manzoni, M., Tebaldini, S., Monti\u2013Guarnieri, A., Prati, C., Tagliaferri, D., Nicoli, M., Russo, L., Mazzucco, C., and Alfageme, S. (2022, January 21\u201325). Multi-Beam Automotive SAR Imaging in Urban Scenarios. Proceedings of the 2022 IEEE Radar Conference (RadarConf22), New York City, NY, USA.","DOI":"10.1109\/RadarConf2248738.2022.9764331"},{"key":"ref_12","unstructured":"Wu, H., Zwirello, L., Li, X., Reichardt, L., and Zwick, T. (2011, January 14\u201316). Motion compensation with one-axis gyroscope and two-axis accelerometer for automotive SAR. Proceedings of the 2011 German Microwave Conference, Darmstadt, Germany."},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Harrer, F., Pfeiffer, F., L\u00f6ffler, A., Gisder, T., and Biebl, E. (2017, January 25\u201326). Synthetic aperture radar algorithm for a global amplitude map. Proceedings of the 2017 14th Workshop on Positioning, Navigation and Communications (WPNC), Bremen, Germany.","DOI":"10.1109\/WPNC.2017.8250080"},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Farhadi, M., Feger, R., Fink, J., Wagner, T., Gonser, M., Hasch, J., and Stelzer, A. (2021, January 10\u201315). Space-variant Phase Error Estimation and Correction for Automotive SAR. Proceedings of the 2020 17th European Radar Conference (EuRAD), Utrecht, The Netherlands.","DOI":"10.1109\/EuRAD48048.2021.00086"},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Manzoni, M., Rizzi, M., Tebaldini, S., Monti\u2013Guarnieri, A., Prati, C., Tagliaferri, D., Nicoli, M., Russo, L., Mazzucco, C., and Duque, S. (2022, January 21\u201325). Residual Motion Compensation in Automotive MIMO SAR Imaging. Proceedings of the 2022 IEEE Radar Conference (RadarConf22), New York City, NY, USA.","DOI":"10.1109\/RadarConf2248738.2022.9764310"},{"key":"ref_16","unstructured":"Tang, K., Guo, X., Liang, X., and Lin, Z. (2020, January 8\u201311). Implementation of Real-time Automotive SAR Imaging. Proceedings of the 2020 IEEE 11th Sensor Array and Multichannel Signal Processing Workshop (SAM), Hangzhou, China."},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Fembacher, F., Khalid, F.B., Balazs, G., Nugraha, D.T., and Roger, A. (2018, January 26\u201328). Real-Time Synthetic Aperture Radar for Automotive Embedded Systems. Proceedings of the 2018 15th European Radar Conference (EuRAD), Madrid, Spain.","DOI":"10.23919\/EuRAD.2018.8546620"},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Zhao, S., Chen, J., Yang, W., Sun, B., and Wang, Y. (2015, January 1\u20134). Image formation method for spaceborne video SAR. Proceedings of the 2015 IEEE 5th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR), Singapore.","DOI":"10.1109\/APSAR.2015.7306176"},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Liang, J., Zhang, R., Ma, L., Lv, Z., Jiao, K., Wang, D., and Tan, Z. (2018, January 22\u201327). An Efficient Image Formation Algorithm for Spaceborne Video SAR. Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, Valencia, Spain.","DOI":"10.1109\/IGARSS.2018.8517711"},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Wang, W., An, D., and Zhou, Z. (2019, January 26\u201329). Preliminary Results of Airborne Video Synthetic Aperture Radar in THz Band. Proceedings of the 2019 6th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR), Xiamen, China.","DOI":"10.1109\/APSAR46974.2019.9048467"},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Liu, C., Wang, X., and Zhu, D. (2020, January 8\u201311). An Airborne Video SAR High-resolution Ground Playback System Based on FPGA. Proceedings of the 2020 IEEE 11th Sensor Array and Multichannel Signal Processing Workshop (SAM), Hangzhou, China.","DOI":"10.1109\/SAM48682.2020.9104265"},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Liu, T., Xu, G., and Zhang, B. (2021, January 18\u201320). A Video SAR Imaging Algorithm for Micro Millimeter-Wave Radar. Proceedings of the 2021 IEEE 4th International Conference on Electronic Information and Communication Technology (ICEICT), Xi\u2019an, China.","DOI":"10.1109\/ICEICT53123.2021.9531276"},{"key":"ref_23","first-page":"121","article-title":"Derivation and application of stripmap Video SAR parameter relations","volume":"33","author":"Song","year":"2016","journal-title":"J. Univ. Chin. Acad. Sci."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"1182","DOI":"10.1109\/TGRS.2020.2998782","article-title":"Simultaneous Detection and Tracking of Moving-Target Shadows in ViSAR Imagery","volume":"59","author":"Tian","year":"2020","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"1481","DOI":"10.1109\/JSTARS.2022.3146035","article-title":"Video SAR Moving Target Tracking Using Joint Kernelized Correlation Filter","volume":"15","author":"Zhong","year":"2022","journal-title":"IEEE J. Sel. Top. Appl. Earth Observat. Remote Sens."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"874609","DOI":"10.1117\/12.2016417","article-title":"An application of backprojection for video SAR image formation exploiting a subaperature circular shift register","volume":"8746","author":"Miller","year":"2013","journal-title":"Proc. SPIE"},{"key":"ref_27","doi-asserted-by":"crossref","unstructured":"Bishop, E., Linnehan, R., and Doerry, A. (2016, January 2\u20136). Video-SAR using higher order Taylor terms for differential range. Proceedings of the 2016 IEEE Radar Conference (RadarConf), Philadelphia, PA, USA.","DOI":"10.1109\/RADAR.2016.7485169"},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"2838","DOI":"10.1109\/TAES.2016.150581","article-title":"Processing video-SAR data with the fast backprojection method","volume":"52","author":"Song","year":"2016","journal-title":"IEEE Trans. Aerosp. Electron. Syst."},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"Li, H., Li, j., Hou, Y., Zhang, L., Xing, M., and Bao, Z. (2013, January 14\u201316). Synthetic aperture radar processing using a novel implementation of fast factorized back-projection. Proceedings of the IET International Radar Conference 2013, Xi\u2019an, China.","DOI":"10.1049\/cp.2013.0144"},{"key":"ref_30","unstructured":"Farhadi, M., Feger, R., Fink, J., Gonser, M., Hasch, J., and Stelzer, A. (2019, January 2\u20134). Adaption of Fast Factorized Back-Projection to Automotive SAR Applications. Proceedings of the 2019 16th European Radar Conference (EuRAD), Paris, France."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"897","DOI":"10.1109\/LGRS.2018.2886750","article-title":"Improved Method of Video Synthetic Aperture Radar Imaging Algorithm","volume":"16","author":"Zuo","year":"2019","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_32","first-page":"5215414","article-title":"A Parameter-Adjusting Autoregistration Imaging Algorithm for Video Synthetic Aperture Radar","volume":"60","author":"Gao","year":"2022","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"73","DOI":"10.1109\/TAES.2015.140853","article-title":"Scene size limits for polar format algorithm","volume":"52","author":"Gorham","year":"2016","journal-title":"IEEE Trans. Aerosp. Electron. Syst."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"2562","DOI":"10.3390\/s18082562","article-title":"A Real-Time Imaging Algorithm Based on Sub-Aperture CS-Dechirp for GF3-SAR Data","volume":"18","author":"Sun","year":"2018","journal-title":"Sensors"},{"key":"ref_35","doi-asserted-by":"crossref","unstructured":"Zhou, F., Yang, J., Sun, G., and Zhang, J. (2020\u20132, January 26). A Real-Time Imaging Processing Method Based on Modified RMA with Sub-Aperture Images Fusion for Spaceborne Spotlight SAR. Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, Waikoloa, HI, USA.","DOI":"10.1109\/IGARSS39084.2020.9324118"},{"key":"ref_36","first-page":"1157","article-title":"Echo modeling and signal analysis of frequency modulated continuous wave continuous wave synthetic aperture radar","volume":"30","author":"Cai","year":"2015","journal-title":"Chin. J. Radio Sci."},{"key":"ref_37","doi-asserted-by":"crossref","unstructured":"Kang, Y., Jung, D., and Park, S. (2021, January 1\u20133). Validity of Stop-and-Go Approximation in High-Resolution Ku-band FMCW SAR with High-Velocity Platform. Proceedings of the 2021 7th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR), Bali, Indonesia.","DOI":"10.1109\/APSAR52370.2021.9688527"},{"key":"ref_38","unstructured":"Bao, Z., Xing, M., and Wang, T. (2014). Radar Imaging Technology, Publishing House of Electronics Industry."},{"key":"ref_39","unstructured":"Yan, H., Mao, X., Zhang, J., and Zhu, D. (2016, January 24\u201328). Frame rate analysis of video synthetic aperture radar (ViSAR). Proceedings of the 2016 International Symposium on Antennas and Propagation (ISAP), Okinawa, Japan."},{"key":"ref_40","unstructured":"Wang, B., Hu, Z., Guan, W., Liu, Q., and Guo, J. (2015, January 14\u201316). Study on the echo signal model and R-D imaging algorithm for FMCW SAR. Proceedings of the IET International Radar Conference 2015, Hangzhou, China."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"1240","DOI":"10.1109\/7.805442","article-title":"Autofocusing of ISAR images based on entropy minimization","volume":"35","author":"Li","year":"1999","journal-title":"IEEE Trans. Aerosp. Electron. 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