{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,14]],"date-time":"2026-01-14T19:46:27Z","timestamp":1768419987374,"version":"3.49.0"},"reference-count":38,"publisher":"MDPI AG","issue":"23","license":[{"start":{"date-parts":[[2024,11,27]],"date-time":"2024-11-27T00:00:00Z","timestamp":1732665600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2021YFB2800800"],"award-info":[{"award-number":["2021YFB2800800"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["62104232"],"award-info":[{"award-number":["62104232"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["62327806"],"award-info":[{"award-number":["62327806"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["61988102"],"award-info":[{"award-number":["61988102"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["ZDBS-LY-JSC016"],"award-info":[{"award-number":["ZDBS-LY-JSC016"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2020B0101110002"],"award-info":[{"award-number":["2020B0101110002"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2019B090909011"],"award-info":[{"award-number":["2019B090909011"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["E0Z2D10600"],"award-info":[{"award-number":["E0Z2D10600"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National Natural Science Foundation of China","award":["2021YFB2800800"],"award-info":[{"award-number":["2021YFB2800800"]}]},{"name":"National Natural Science Foundation of China","award":["62104232"],"award-info":[{"award-number":["62104232"]}]},{"name":"National Natural Science Foundation of China","award":["62327806"],"award-info":[{"award-number":["62327806"]}]},{"name":"National Natural Science Foundation of China","award":["61988102"],"award-info":[{"award-number":["61988102"]}]},{"name":"National Natural Science Foundation of China","award":["ZDBS-LY-JSC016"],"award-info":[{"award-number":["ZDBS-LY-JSC016"]}]},{"name":"National Natural Science Foundation of China","award":["2020B0101110002"],"award-info":[{"award-number":["2020B0101110002"]}]},{"name":"National Natural Science Foundation of China","award":["2019B090909011"],"award-info":[{"award-number":["2019B090909011"]}]},{"name":"National Natural Science Foundation of China","award":["E0Z2D10600"],"award-info":[{"award-number":["E0Z2D10600"]}]},{"name":"Key Research Program of Frontier Sciences, CAS","award":["2021YFB2800800"],"award-info":[{"award-number":["2021YFB2800800"]}]},{"name":"Key Research Program of Frontier Sciences, CAS","award":["62104232"],"award-info":[{"award-number":["62104232"]}]},{"name":"Key Research Program of Frontier Sciences, CAS","award":["62327806"],"award-info":[{"award-number":["62327806"]}]},{"name":"Key Research Program of Frontier Sciences, CAS","award":["61988102"],"award-info":[{"award-number":["61988102"]}]},{"name":"Key Research Program of Frontier Sciences, CAS","award":["ZDBS-LY-JSC016"],"award-info":[{"award-number":["ZDBS-LY-JSC016"]}]},{"name":"Key Research Program of Frontier Sciences, CAS","award":["2020B0101110002"],"award-info":[{"award-number":["2020B0101110002"]}]},{"name":"Key Research Program of Frontier Sciences, CAS","award":["2019B090909011"],"award-info":[{"award-number":["2019B090909011"]}]},{"name":"Key Research Program of Frontier Sciences, CAS","award":["E0Z2D10600"],"award-info":[{"award-number":["E0Z2D10600"]}]},{"name":"Guangdong Province Key Field R&amp;D Program Project","award":["2021YFB2800800"],"award-info":[{"award-number":["2021YFB2800800"]}]},{"name":"Guangdong Province Key Field R&amp;D Program Project","award":["62104232"],"award-info":[{"award-number":["62104232"]}]},{"name":"Guangdong Province Key Field R&amp;D Program Project","award":["62327806"],"award-info":[{"award-number":["62327806"]}]},{"name":"Guangdong Province Key Field R&amp;D Program Project","award":["61988102"],"award-info":[{"award-number":["61988102"]}]},{"name":"Guangdong Province Key Field R&amp;D Program Project","award":["ZDBS-LY-JSC016"],"award-info":[{"award-number":["ZDBS-LY-JSC016"]}]},{"name":"Guangdong Province Key Field R&amp;D Program Project","award":["2020B0101110002"],"award-info":[{"award-number":["2020B0101110002"]}]},{"name":"Guangdong Province Key Field R&amp;D Program Project","award":["2019B090909011"],"award-info":[{"award-number":["2019B090909011"]}]},{"name":"Guangdong Province Key Field R&amp;D Program Project","award":["E0Z2D10600"],"award-info":[{"award-number":["E0Z2D10600"]}]},{"DOI":"10.13039\/501100012245","name":"Science and Technology Planning Project of Guangdong Province","doi-asserted-by":"publisher","award":["2021YFB2800800"],"award-info":[{"award-number":["2021YFB2800800"]}],"id":[{"id":"10.13039\/501100012245","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012245","name":"Science and Technology Planning Project of Guangdong Province","doi-asserted-by":"publisher","award":["62104232"],"award-info":[{"award-number":["62104232"]}],"id":[{"id":"10.13039\/501100012245","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012245","name":"Science and Technology Planning Project of Guangdong Province","doi-asserted-by":"publisher","award":["62327806"],"award-info":[{"award-number":["62327806"]}],"id":[{"id":"10.13039\/501100012245","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012245","name":"Science and Technology Planning Project of Guangdong Province","doi-asserted-by":"publisher","award":["61988102"],"award-info":[{"award-number":["61988102"]}],"id":[{"id":"10.13039\/501100012245","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012245","name":"Science and Technology Planning Project of Guangdong Province","doi-asserted-by":"publisher","award":["ZDBS-LY-JSC016"],"award-info":[{"award-number":["ZDBS-LY-JSC016"]}],"id":[{"id":"10.13039\/501100012245","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012245","name":"Science and Technology Planning Project of Guangdong Province","doi-asserted-by":"publisher","award":["2020B0101110002"],"award-info":[{"award-number":["2020B0101110002"]}],"id":[{"id":"10.13039\/501100012245","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012245","name":"Science and Technology Planning Project of Guangdong Province","doi-asserted-by":"publisher","award":["2019B090909011"],"award-info":[{"award-number":["2019B090909011"]}],"id":[{"id":"10.13039\/501100012245","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012245","name":"Science and Technology Planning Project of Guangdong Province","doi-asserted-by":"publisher","award":["E0Z2D10600"],"award-info":[{"award-number":["E0Z2D10600"]}],"id":[{"id":"10.13039\/501100012245","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Program of GBA Branch of AIRCAS","award":["2021YFB2800800"],"award-info":[{"award-number":["2021YFB2800800"]}]},{"name":"Program of GBA Branch of AIRCAS","award":["62104232"],"award-info":[{"award-number":["62104232"]}]},{"name":"Program of GBA Branch of AIRCAS","award":["62327806"],"award-info":[{"award-number":["62327806"]}]},{"name":"Program of GBA Branch of AIRCAS","award":["61988102"],"award-info":[{"award-number":["61988102"]}]},{"name":"Program of GBA Branch of AIRCAS","award":["ZDBS-LY-JSC016"],"award-info":[{"award-number":["ZDBS-LY-JSC016"]}]},{"name":"Program of GBA Branch of AIRCAS","award":["2020B0101110002"],"award-info":[{"award-number":["2020B0101110002"]}]},{"name":"Program of GBA Branch of AIRCAS","award":["2019B090909011"],"award-info":[{"award-number":["2019B090909011"]}]},{"name":"Program of GBA Branch of AIRCAS","award":["E0Z2D10600"],"award-info":[{"award-number":["E0Z2D10600"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>A resolution-improving method for multiband imaging based on an extrapolated RELAX algorithm (ERA) is proposed. The proposed method improves image resolution by reconstructing a wideband signal through nonadjacent narrow subbands. The key points of this method are the coherent compensation of the subbands and the accurate extraction of target point scatters\u2019 parameters from each subband. For coherent compensation, a two-step phase compensation (TSPC) is used to precisely compensate for the phase incoherence terms between the subbands. In order to accurately extract the parameters of point scatters (PSs), the ERA is proposed, which establishes a cost function between the extrapolated subbands and the PSs\u2019 parameters. Furthermore, to enhance the robustness of PSs\u2019 parameters extraction, a local band purification (LBP) process is proposed to resist the non-Gaussian clutter in the subbands. To validate the performance of the proposed method, Monte Carlo experiments using simulated data are carried out, whose results show that the proposed method can successfully improve the image resolution through the subbands under low signal-to-clutter ratio (SCR). Moreover, experiments with real measured data are conducted, using two 0.75 GHz subbands to reconstruct a 5 GHz signal, whose 2D image result is approximated to that based on the real 5 GHz signal. Image parameters are also compared, whose results demonstrate that the proposed method has satisfactory accuracy and robustness on improving image resolution.<\/jats:p>","DOI":"10.3390\/rs16234446","type":"journal-article","created":{"date-parts":[[2024,11,27]],"date-time":"2024-11-27T08:17:42Z","timestamp":1732695462000},"page":"4446","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["A Resolution-Improving Method for Multiband Imaging Based on an Extrapolated RELAX Algorithm"],"prefix":"10.3390","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7788-249X","authenticated-orcid":false,"given":"Jiajie","family":"Huang","sequence":"first","affiliation":[{"name":"National Key Laboratory of Microwave Imaging, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China"},{"name":"School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China"}]},{"given":"Wen","family":"Jiang","sequence":"additional","affiliation":[{"name":"Institute of Remote Sensing Satellite, China Academy of Space Technology, Beijing 100094, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1394-7861","authenticated-orcid":false,"given":"Jianwei","family":"Liu","sequence":"additional","affiliation":[{"name":"National Key Laboratory of Microwave Imaging, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China"},{"name":"School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7520-3078","authenticated-orcid":false,"given":"Qinyu","family":"Xie","sequence":"additional","affiliation":[{"name":"Department of Electronic Engineering, Tsinghua University, Beijing 100084, China"}]},{"given":"Wangzhe","family":"Li","sequence":"additional","affiliation":[{"name":"National Key Laboratory of Microwave Imaging, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China"},{"name":"School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China"}]}],"member":"1968","published-online":{"date-parts":[[2024,11,27]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1094","DOI":"10.1109\/8.777137","article-title":"Ultrawide-Band Coherent Processing","volume":"47","author":"Cuomo","year":"1999","journal-title":"IEEE Trans. Antennas Propag."},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Ma, Y., Ma, R., Lin, Z., Zhang, R., Cai, Y., Wu, W., and Wang, J. (2024). Improving Age of Information for Covert Communication With Time-Modulated Arrays. IEEE Internet Things J.","DOI":"10.1109\/JIOT.2024.3466855"},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Zhang, R., Wu, X., Lou, Y., Yan, F.G., Zhou, Z., Wu, W., and Yuen, C. (2024). Channel Training-Aided Target Sensing for Terahertz Integrated Sensing and Massive MIMO Communications. IEEE Internet Things J.","DOI":"10.1109\/JIOT.2024.3447584"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"6217","DOI":"10.1109\/TAP.2014.2361158","article-title":"Coherent Processing and Superresolution Technique of Multi-Band Radar Data Based on Fast Sparse Bayesian Learning Algorithm","volume":"62","author":"Zhang","year":"2014","journal-title":"IEEE Trans. Antennas Propag."},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"van Dorp, P., Ebeling, R., and Huizing, A.G. (2010, January 10\u201314). High Resolution Radar Imaging Using Coherent MultiBand Processing Techniques. Proceedings of the 2010 IEEE Rdar Conference, Arlington, VA, USA.","DOI":"10.1109\/RADAR.2010.5494478"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"9315","DOI":"10.1109\/JSEN.2018.2869832","article-title":"Sparse Subband ISAR Imaging Based on Autoregressive Model and Smoothed l0 Algorithm","volume":"18","author":"Hu","year":"2018","journal-title":"IEEE Sens. J."},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Berry, P., Ngoc, H.N., and Hai-Tan, T. (2020). Compressive Sensing-Based Bandwidth Stitching for Multichannel Microwave Radars. Sensors, 20.","DOI":"10.3390\/s20030665"},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Li, X., Bai, X., and Zhou, F. (2021). High-Resolution ISAR Imaging and Autofocusing via 2D-ADMM-Net. Remote Sens., 13.","DOI":"10.3390\/rs13122326"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"403","DOI":"10.1109\/JSTSP.2022.3220403","article-title":"Radar Band Fusion Using Frame-Based Compressed Sensing","volume":"17","author":"Guha","year":"2023","journal-title":"IEEE J. Sel. Top. Signal Process."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"888","DOI":"10.1049\/cmu2.12393","article-title":"Parameter Estimation of Multiple Frequency-hopping Signals Based on Bayesian Compressive Sensing and Atomic Norm Soft Thresholding with Missing Observations","volume":"16","author":"Wang","year":"2022","journal-title":"IET Commun."},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Jia, L., and Xu, X. (2006, January 16\u201320). A New Procedure for Ultra Wideband Radar Imaging from Sparse Subband Data. Proceedings of the 2006 8th International Conference on Signal Processing, Guilin, China.","DOI":"10.1109\/ICOSP.2006.346004"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"318","DOI":"10.1049\/iet-rsn.2013.0192","article-title":"Sparse Subband Fusion Imaging Based on Parameter Estimation of Geometrical Theory of Diffraction Model","volume":"8","author":"Tian","year":"2014","journal-title":"IET Radar Sonar Navig."},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Hussain, B., Malacarne, A., Maresca, S., Scotti, F., Ghelfi, P., and Bogoni, A. (2018, January 23\u201327). Auto-Regressive Spectral Gap Filling Algorithms for Photonics-Based Highly Sparse Coherent Multi-Band Radars in Complex Scenarios. Proceedings of the 2018 IEEE Radar Conference (RadarConf18), Oklahoma City, OK, USA.","DOI":"10.1109\/RADAR.2018.8378696"},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Yuan, S., Chen, C., and Xu, X. (2018, January 17\u201319). Block-Division Based Ultra-Wideband Fusion of Multiple Radar Bands for Resolution Enhanced Imagery. Proceedings of the 2018 12th International Conference on Signal Processing and Communication Systems (ICSPCS), Cairns, Australia.","DOI":"10.1109\/ICSPCS.2018.8631786"},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Piou, J. (2005, January 15\u201318). A State Identification Method for 1-D Measurements with Gaps. San Francisco, CA, USA.","DOI":"10.2514\/6.2005-5943"},{"key":"ref_16","unstructured":"Dolne, J.J., Karr, T.J., and Gamiz, V.L. (2014, January 17\u201321). An Iterative Procedure for Ultra-Wideband Imagery of Space Objects from Distributed Multi-Band Radar Data. Proceedings of the SPIE Optical Engineering + Applications, San Diego, CA, USA."},{"key":"ref_17","first-page":"171","article-title":"Enhanced Imagery Using Spectral-Estimation-Based Techniques","volume":"10","author":"Moore","year":"1997","journal-title":"Linc. Lab. J."},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Zou, Y.Q., Gao, X.Z., Li, X., and Liu, Y.X. (2016). A Matrix Pencil Algorithm Based Multiband Iterative Fusion Imaging Method. Sci. Rep., 6.","DOI":"10.1038\/srep19440"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"3099","DOI":"10.1109\/TAES.2020.2965754","article-title":"High-Resolution Range-Doppler Maps by Coherent Extension of Narrowband Pulses","volume":"56","author":"Lulu","year":"2020","journal-title":"IEEE Trans. Aerosp. Electron. Syst."},{"key":"ref_20","first-page":"1","article-title":"A Novel Multiband Fusion Method Based on a Modified RELAX Algorithm for High-Resolution and Anti-Non-Gaussian Colored Clutter Microwave Imaging","volume":"60","author":"Jiang","year":"2022","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"897","DOI":"10.1109\/7.395248","article-title":"A Criterion for Radar Resolution Enhancement with Burg Algorithm","volume":"31","author":"Wu","year":"1995","journal-title":"IEEE Trans. Aerosp. Electron. Syst."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"281","DOI":"10.1109\/78.485924","article-title":"Efficient mixed-spectrum estimation with applications to target feature extraction","volume":"44","author":"Li","year":"1996","journal-title":"IEEE Trans. Signal Process."},{"key":"ref_23","unstructured":"Li, J., Stoica, P., and Zheng, D. (November, January 30). Angle and Waveform Estimation in the Presence of Colored Noise via RELAX. Proceedings of the Conference Record of the Twenty-Ninth Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, USA."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"311","DOI":"10.1016\/S0165-1684(97)00132-1","article-title":"RELAX-Based Estimation of Damped Sinusoidal Signal Parameters","volume":"62","author":"Liu","year":"1997","journal-title":"Signal Process."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"657","DOI":"10.1109\/7.670348","article-title":"Implementation of the RELAX Algorithm","volume":"34","author":"Liu","year":"1998","journal-title":"IEEE Trans. Aerosp. Electron. Syst."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"425","DOI":"10.1109\/TAES.2010.5417172","article-title":"Source Localization and Sensing: A Nonparametric Iterative Adaptive Approach Based on Weighted Least Squares","volume":"46","author":"Yardibi","year":"2010","journal-title":"IEEE Trans. Aerosp. Electron. Syst."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"3504","DOI":"10.1016\/j.sigpro.2013.04.005","article-title":"Wideband Source Localization Using Sparse Learning via Iterative Minimization","volume":"93","author":"Xu","year":"2013","journal-title":"Signal Process."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"2504","DOI":"10.1109\/TAES.2016.150393","article-title":"Three-Dimensional Aircraft Isar Imaging Based on Shipborne Radar","volume":"52","author":"Jiang","year":"2016","journal-title":"IEEE Trans. Aerosp. Electron. Syst."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"6562","DOI":"10.1109\/TSP.2020.3039565","article-title":"Joint Features Extraction for Multiple Moving Targets Using (Ultra-)Wideband FMCW Signals in the Presence of Doppler Ambiguity","volume":"68","author":"Xu","year":"2020","journal-title":"IEEE Trans. Signal Process."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"352","DOI":"10.1109\/JSTARS.2013.2263309","article-title":"Fast Compressed Sensing SAR Imaging Based on Approximated Observation","volume":"7","author":"Fang","year":"2014","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"2928","DOI":"10.1109\/TGRS.2019.2958067","article-title":"From Theory to Application: Real-Time Sparse SAR Imaging","volume":"58","author":"Bi","year":"2020","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"387","DOI":"10.1109\/TASSP.1985.1164557","article-title":"Detection of Signals by Information Theoretic Criteria","volume":"33","author":"Wax","year":"1985","journal-title":"IEEE Trans. Acoust. Speech Signal Process."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"1841","DOI":"10.1080\/00207178608933575","article-title":"Model-Structure Selection by Cross-Validation","volume":"43","author":"Stoica","year":"1986","journal-title":"Int. J. Control."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"463","DOI":"10.1109\/LSP.2013.2251631","article-title":"Multiband Radar Signal Coherent Fusion Processing With IAA and apFFT","volume":"20","author":"Tian","year":"2013","journal-title":"IEEE Signal Process. Lett."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"1289","DOI":"10.1109\/TIM.2002.808031","article-title":"Autoregressive Spectral Estimation by Application of the Burg Algorithm to Irregularly Sampled Data","volume":"51","author":"Bos","year":"2002","journal-title":"IEEE Trans. Instrum. Meas."},{"key":"ref_36","doi-asserted-by":"crossref","unstructured":"Jiao, Y., Yu, J., and Che, R. (2006, January 16\u201319). Application of RELAX Algorithm to ISAR Superresolution Imaging. Proceedings of the 2006 CIE International Conference on Radar, Shanghai, China.","DOI":"10.1109\/ICR.2006.343204"},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"4037","DOI":"10.1109\/TGRS.2018.2821001","article-title":"Wavenumber-Domain Multiband Signal Fusion With Matrix-Pencil Approach for High-Resolution Imaging","volume":"56","author":"Wang","year":"2018","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"296","DOI":"10.1016\/j.optcom.2019.06.073","article-title":"Microwave Photonic Video Imaging Radar with Widely Tunable Bandwidth for Monitoring Diverse Airspace Targets","volume":"451","author":"Luo","year":"2019","journal-title":"Opt. Commun."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/16\/23\/4446\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T16:40:40Z","timestamp":1760114440000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/16\/23\/4446"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,11,27]]},"references-count":38,"journal-issue":{"issue":"23","published-online":{"date-parts":[[2024,12]]}},"alternative-id":["rs16234446"],"URL":"https:\/\/doi.org\/10.3390\/rs16234446","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,11,27]]}}}