{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,25]],"date-time":"2025-02-25T05:27:54Z","timestamp":1740461274784,"version":"3.37.3"},"reference-count":0,"publisher":"IOS Press","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"abstract":"<jats:p>According to the problems of the poor resistance to interference peak pulse arising from doppler fuze information processing circuit, which is composed of the analog devices, the paper raises the target signal extreme recognition algorithm and there are two kinds of target signal algorithm no interference and interference. In the method proposed herein, each point is compared with the average of the points in the front. Regarding signal amplitude and signal frequency, the efficiency is improved. The test results show that the target signal extreme recognition algorithm can completely remove the peak pulse interference part in the signal, and the method improves the anti-interference ability of doppler fuze and it has significant reference in the modern fuze digital transformation and improvement of the anti-interference ability.<\/jats:p>","DOI":"10.3233\/978-1-61499-927-0-488","type":"book-chapter","created":{"date-parts":[[2025,2,24]],"date-time":"2025-02-24T11:59:50Z","timestamp":1740398390000},"source":"Crossref","is-referenced-by-count":0,"title":["A New Target Recognition Algorithm of Doppler Fuze Based on Extremum Points"],"prefix":"10.3233","author":[{"family":"Zhao Heming","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"family":"Xu Aiguo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"family":"Jin Heli","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"family":"Wang Shen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","Fuzzy Systems and Data Mining IV"],"original-title":[],"deposited":{"date-parts":[[2025,2,24]],"date-time":"2025-02-24T12:15:18Z","timestamp":1740399318000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.medra.org\/servlet\/aliasResolver?alias=iospressISBN&isbn=978-1-61499-926-3&spage=488&doi=10.3233\/978-1-61499-927-0-488"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/978-1-61499-927-0-488","relation":{},"ISSN":["0922-6389"],"issn-type":[{"value":"0922-6389","type":"print"}],"subject":[],"published":{"date-parts":[[2018]]}}}