{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,13]],"date-time":"2026-05-13T17:57:57Z","timestamp":1778695077304,"version":"3.51.4"},"reference-count":29,"publisher":"MDPI AG","issue":"9","license":[{"start":{"date-parts":[[2019,5,13]],"date-time":"2019-05-13T00:00:00Z","timestamp":1557705600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"Chinese National Science Foundation","doi-asserted-by":"publisher","award":["61601078"],"award-info":[{"award-number":["61601078"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>In this paper, the method of applying cognitive radar technology to marine radar is studied, and the cognitive marine radar structure and transmitted signal model with three control parameters are constructed. The selection method of waveform control parameters, which is based on the target spatial distribution and the reference target detection effect with the minimum emission energy as the criterion, is given. The transmission signal control selection method given in this paper can flexibly realize different emission signal groups of     m \u00d7 n \u00d7 p     groups by independently setting the values m, n and p of three control parameters. It does not require radar hardware circuit reconstruction to meet the radar waveform changes. This is more convenient for the technical realization of cognitive marine radar. According to the method of this paper, a cognitive marine radar test system was constructed. The experimental results show that the proposed radar could reduce the emission energy by 15.9 dB compared with the traditional fixed-parameter pulse compression marine radar under the experimental conditions.<\/jats:p>","DOI":"10.3390\/s19092200","type":"journal-article","created":{"date-parts":[[2019,5,13]],"date-time":"2019-05-13T05:35:39Z","timestamp":1557725739000},"page":"2200","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Research on Cognitive Marine Radar Based on LFM Waveform Control"],"prefix":"10.3390","volume":"19","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0485-6730","authenticated-orcid":false,"given":"Yi","family":"Liu","sequence":"first","affiliation":[{"name":"Department of Electronic Information Engineering, Dalian Maritime University, Dalian 116026, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shufang","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Electronic Information Engineering, Dalian Maritime University, Dalian 116026, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jidong","family":"Suo","sequence":"additional","affiliation":[{"name":"Department of Electronic Information Engineering, Dalian Maritime University, Dalian 116026, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tingting","family":"Yao","sequence":"additional","affiliation":[{"name":"Department of Electronic Information Engineering, Dalian Maritime University, Dalian 116026, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7431-2790","authenticated-orcid":false,"given":"Jingbo","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Electronic Information Engineering, Dalian Maritime University, Dalian 116026, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2019,5,13]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"30","DOI":"10.1109\/MSP.2006.1593335","article-title":"Cognitive radar: A way of the future","volume":"23","author":"Haykin","year":"2006","journal-title":"IEEE Signal Process Mag."},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Haykin, S. (2010, January 10\u201314). New generation of radar systems enabled with cognition. Proceedings of the 2010 IEEE Radar Conference, Washington, DC, USA.","DOI":"10.1109\/RADAR.2010.5494676"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"3102","DOI":"10.1109\/JPROC.2012.2203089","article-title":"Cognitive Radar: Step Toward Bridging the Gap Between Neuroscience and Engineering","volume":"100","author":"Haykin","year":"2012","journal-title":"Proc. IEEE"},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Rangaswamy, M., Jones, A., and Smith, G. (2015, January 13\u201316). Recent trends and findings in cognitive radar. Proceedings of the the 2015 IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), Cancun, Mexico.","DOI":"10.1109\/CAMSAP.2015.7465294"},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Zhang, X., Gao, Y., Wang, K., and Liu, X. (2017, January 8\u201312). Optimal waveform design for target tracking and estimation in cognitive radar. Proceedings of the 2017 IEEE Radar Conference (RadarConf), Seattle, WA, USA.","DOI":"10.1109\/RADAR.2017.7944192"},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"Yao, Y., Zhao, J., and Wu, L. (2018). Waveform Optimization for Target Estimation by Cognitive Radar with Multiple Antennas. Sensors, 18.","DOI":"10.3390\/s18061743"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"3094","DOI":"10.1109\/TSP.2017.2679693","article-title":"Joint Threshold Adjustment and Power Allocation for Cognitive Target Tracking in Asynchronous Radar Network","volume":"65","author":"Yan","year":"2017","journal-title":"IEEE Trans. Signal Process."},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Sen, S., Tang, G., and Nehorai, A. (2013). Designing OFDM Radar Waveform for Target Detection Using Multi-Objective Optimization, Springer.","DOI":"10.1007\/978-3-642-37880-5_3"},{"key":"ref_9","first-page":"487","article-title":"An Overview of Radar Waveform Optimization for Target Detection","volume":"5","author":"Wang","year":"2016","journal-title":"J. Radars"},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Mishra, K.V., and Eldar, Y.C. (2017, January 5\u20139). Performance of time delay estimation in a cognitive radar. Proceedings of the 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), New Orleans, LA, USA.","DOI":"10.1109\/ICASSP.2017.7952735"},{"key":"ref_11","unstructured":"Mishra, K.V., Eldar, Y.C., Shoshan, E., Namer, M., and Meltsin, M. (2018). A Cognitive Sub-Nyquist MIMO Radar Prototype. arXiv."},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Guerci, J.R., Guerci, R.M., Ranagaswamy, M., Bergin, J.S., and Wicks, M.C. (2014, January 19\u201323). CoFAR: Cognitive fully adaptive radar. Proceedings of the 2014 IEEE Radar Conference, Cincinnati, OH, USA.","DOI":"10.1109\/RADAR.2014.6875736"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"1427","DOI":"10.1109\/JSTSP.2015.2465304","article-title":"Cognitive Radar Framework for Target Detection and Tracking","volume":"9","author":"Bell","year":"2015","journal-title":"IEEE J. Sel. Top. Signal Process."},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Butterfield, A.S., Mitchell, A.E., Smith, G.E., Bell, K.L., and Rangaswamy, M. (2016, January 10\u201313). Metrics for quantifying cognitive radar performance. Proceedings of the 2016 CIE International Conference on Radar (RADAR), Guangzhou, China.","DOI":"10.1109\/RADAR.2016.8059298"},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Mitchell, A.E., Smith, G.E., Bell, K.L., and Rangaswamy, M. (2017, January 8\u201312). Single target tracking with distributed cognitive radar. Proceedings of the 2017 IEEE Radar Conference (RadarConf), Seattle, WA, USA.","DOI":"10.1109\/RADAR.2017.7944213"},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Giusti, E., Bacci, A., Stinco, P., Martorella, M., Saverino, A.L., Gini, F., Berizzi, F., and Greco, M.S. (2015, January 13\u201316). Cognitive multichannel ISAR imaging for maritime coastal surveillance and ground border control. Proceedings of the the 2015 IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), Cancun, Mexico.","DOI":"10.1109\/CAMSAP.2015.7383790"},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Aittomaki, T., Chepuri, S.P., and Koivunen, V. (2018, January 8\u201311). Dynamic Transmit Power Allocation for Distributed Mimo Radar Target Detection. Proceedings of the the 2018 IEEE 10th Sensor Array and Multichannel Signal Processing Workshop (SAM), Sheffield, UK.","DOI":"10.1109\/SAM.2018.8448906"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"1387","DOI":"10.1109\/JSTSP.2015.2469259","article-title":"Optimizing Radar Waveform and Doppler Filter Bank via Generalized Fractional Programming","volume":"9","author":"Aubry","year":"2015","journal-title":"IEEE J. Sel. Top. Signal Process."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"779","DOI":"10.1109\/TSP.2016.2621723","article-title":"Cognitive Radar-Based Sequence Design via SINR Maximization","volume":"65","author":"Wu","year":"2016","journal-title":"IEEE Trans. Signal Process."},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Mitchell, A.E., Smith, G.E., Bell, K.L., Duly, A., and Rangaswamy, M. (2018, January 23\u201327). Fully adaptive radar cost function design. Proceedings of the 2018 IEEE Radar Conference (RadarConf18), Oklahoma City, OK, USA.","DOI":"10.1109\/RADAR.2018.8378751"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"1440","DOI":"10.1109\/JSTSP.2015.2467354","article-title":"Optimal Cognitive Beamforming for Target Tracking in MIMO Radar\/Sonar","volume":"9","author":"Sharaga","year":"2015","journal-title":"IEEE J. Sel. Top. Signal Process."},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Yao, Y., Zhao, J., and Wu, L. (2018). Adaptive Waveform Design for MIMO Radar-Communication Transceiver. Sensors, 18.","DOI":"10.3390\/s18061957"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"76","DOI":"10.1109\/JSTSP.2018.2793761","article-title":"Cognitive Target Tracking via Angle-Range-Doppler Estimation With Transmit Subaperturing FDA Radar","volume":"12","author":"Gui","year":"2018","journal-title":"IEEE J. Sel. Top. Signal Process."},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Jiankun, L., and Lei, X. (2015, January 25\u201328). Study of inland river maritime radar image Gabor wavelet edge recognition based on direction adaptive. Proceedings of the 2015 International Conference on Transportation Information and Safety (ICTIS), Wuhan, China.","DOI":"10.1109\/ICTIS.2015.7232178"},{"key":"ref_25","unstructured":"Yi, L.I.U. (2015). The Research of Adaptive Control Radar Technology. [Master\u2019s Thesis, Dalian Maritime University]."},{"key":"ref_26","unstructured":"Maoyong, L., and Youan, K. (1984). Radar Signal Theory, National Defense Industry Press."},{"key":"ref_27","unstructured":"Xiaojie, X. (2013). Radar Phenomenological Models for Ships on Time-Evolving Sea Surface, National Defense Industry Press."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"19401","DOI":"10.1109\/ACCESS.2019.2897358","article-title":"Research on a New Comprehensive CFAR (Comp-CFAR) Processing Method","volume":"7","author":"Liu","year":"2019","journal-title":"IEEE Access"},{"key":"ref_29","unstructured":"Stinco, P., Greco, M., and Gini, F. (2016, January 7\u20139). Cognitive radars: Some applications. Proceedings of the Signal & Information Processing, Washington, DC, USA."}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/19\/9\/2200\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T12:51:24Z","timestamp":1760187084000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/19\/9\/2200"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,5,13]]},"references-count":29,"journal-issue":{"issue":"9","published-online":{"date-parts":[[2019,5]]}},"alternative-id":["s19092200"],"URL":"https:\/\/doi.org\/10.3390\/s19092200","relation":{},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,5,13]]}}}