{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,16]],"date-time":"2026-03-16T05:00:32Z","timestamp":1773637232658,"version":"3.50.1"},"reference-count":39,"publisher":"MDPI AG","issue":"17","license":[{"start":{"date-parts":[[2023,9,1]],"date-time":"2023-09-01T00:00:00Z","timestamp":1693526400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Science and Technology Excellence Youth Science Foundation of China","award":["2019-JCJQ-ZQ-006"],"award-info":[{"award-number":["2019-JCJQ-ZQ-006"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Low-frequency bands are an important way to realize stealth target detection for airborne radars. However, in a complex electromagnetic environment; when low-frequency airborne radar operates over land, it will inevitably encounter a lot of unintentional communication and intentional interference, while effective suppression of interference can not be achieved only through the adaptive processing of the receiver. To solve this problem, this paper proposes optimizing an algorithm designed for sparse-frequency waveforms for use in airborne radars. The algorithm establishes a joint objective function based on the criteria of minimizing waveform energy in the spectrum stopband and minimizing the integrated sidelobe level of specified range cells. The waveform is optimized by a cyclic iterative algorithm based on the Fast Fourier Transform (FFT) operation. It can ensure the frequency domain stopband constraint to realize the effective suppression of main-lobe interference while forming lower-range sidelobes at specified range cells to improve the ability to detect dim targets. Theoretical analysis and simulation results have shown that the algorithm has good anti-interference performance.<\/jats:p>","DOI":"10.3390\/rs15174322","type":"journal-article","created":{"date-parts":[[2023,9,4]],"date-time":"2023-09-04T02:43:20Z","timestamp":1693795400000},"page":"4322","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Optimizing an Algorithm Designed for Sparse-Frequency Waveforms for Use in Airborne Radars"],"prefix":"10.3390","volume":"15","author":[{"given":"Ming","family":"Hou","sequence":"first","affiliation":[{"name":"Wuhan Radar Academy, Wuhan 430019, China"}]},{"given":"Wenchong","family":"Xie","sequence":"additional","affiliation":[{"name":"Wuhan Radar Academy, Wuhan 430019, China"}]},{"given":"Yuanyi","family":"Xiong","sequence":"additional","affiliation":[{"name":"Wuhan Radar Academy, Wuhan 430019, China"},{"name":"College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, China"}]},{"given":"Hu","family":"Li","sequence":"additional","affiliation":[{"name":"Wuhan Radar Academy, Wuhan 430019, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6307-1170","authenticated-orcid":false,"given":"Qizhe","family":"Qu","sequence":"additional","affiliation":[{"name":"Electronic Information School, Wuhan University, Wuhan 430072, China"}]},{"given":"Zhenshuo","family":"Lei","sequence":"additional","affiliation":[{"name":"School of Electronic Engineering, Naval University of Engineering, Wuhan 430033, China"}]}],"member":"1968","published-online":{"date-parts":[[2023,9,1]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1109\/MAES.2012.6329156","article-title":"Spectrally-compliant waveforms for wideband radar","volume":"27","author":"Nunn","year":"2012","journal-title":"IEEE Aerosp. 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