{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T02:06:01Z","timestamp":1740103561903,"version":"3.37.3"},"reference-count":10,"publisher":"Wiley","license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61601500"],"award-info":[{"award-number":["61601500"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Wireless Communications and Mobile Computing"],"published-print":{"date-parts":[[2017]]},"abstract":"<jats:p>Noncooperation frequency-hopping (FH) transmitter fingerprint feature classification is a significant but challenging issue for FH transmitter recognition, since not only is it sensitive to noise but also it has the nonlinear, non-Gaussian and nonstability characteristics, which make it difficult to guarantee the classification in the original signal space. To address these problems, a method of frequency-hopping transmitter fingerprint feature classification based on kernel collaborative representation classifier is proposed in this paper. First, the noise suppression pretreatment of the FH transmitter signal is carried out by using the wave atoms frame method. Then, the nuances of the FH transmitters in the feature space are characterized by the surrounding-line integral bispectra features. And finally, incorporating the kernel function, a classifier which can generalize a linear algorithm to nonlinear counterpart is constructed for the final transmitter fingerprint feature classification. Extensive experiments on real-world FH transmitter \u201cturn-on\u201d transient signals demonstrate the robust classification of our method.<\/jats:p>","DOI":"10.1155\/2017\/9403590","type":"journal-article","created":{"date-parts":[[2017,10,9]],"date-time":"2017-10-09T17:01:11Z","timestamp":1507568471000},"page":"1-9","source":"Crossref","is-referenced-by-count":5,"title":["Frequency-Hopping Transmitter Fingerprint Feature Classification Based on Kernel Collaborative Representation Classifier"],"prefix":"10.1155","volume":"2017","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9132-9431","authenticated-orcid":true,"given":"Ping","family":"Sui","sequence":"first","affiliation":[{"name":"Institute of Information and Navigation, Air Force Engineering University, Xi\u2019an, Shaanxi 710077, China"}]},{"given":"Ying","family":"Guo","sequence":"additional","affiliation":[{"name":"Institute of Information and Navigation, Air Force Engineering University, Xi\u2019an, Shaanxi 710077, China"}]},{"given":"Kun-feng","family":"Zhang","sequence":"additional","affiliation":[{"name":"Institute of Information and Navigation, Air Force Engineering University, Xi\u2019an, Shaanxi 710077, China"}]},{"given":"Honguang","family":"Li","sequence":"additional","affiliation":[{"name":"Institute of Information and Navigation, Air Force Engineering University, Xi\u2019an, Shaanxi 710077, China"}]}],"member":"311","reference":[{"year":"2005","key":"1"},{"issue":"1","key":"3","first-page":"29","volume":"29","year":"2009","journal-title":"Journal of Hangzhou Dianzi University"},{"key":"4","doi-asserted-by":"publisher","DOI":"10.1016\/S0304-3975(97)00115-1"},{"key":"5","doi-asserted-by":"publisher","DOI":"10.1002\/cpa.20132"},{"key":"6","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2006.885507"},{"key":"7","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2008.79"},{"key":"10","doi-asserted-by":"publisher","DOI":"10.1016\/j.acha.2007.03.003"},{"journal-title":"Wireless Personal Communications","first-page":"1","year":"2017","key":"11"},{"year":"1998","key":"13"},{"key":"14","doi-asserted-by":"publisher","DOI":"10.1162\/089976698300017467"}],"container-title":["Wireless Communications and Mobile Computing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/wcmc\/2017\/9403590.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/wcmc\/2017\/9403590.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/wcmc\/2017\/9403590.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,10,9]],"date-time":"2017-10-09T17:01:13Z","timestamp":1507568473000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.hindawi.com\/journals\/wcmc\/2017\/9403590\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"references-count":10,"alternative-id":["9403590","9403590"],"URL":"https:\/\/doi.org\/10.1155\/2017\/9403590","relation":{},"ISSN":["1530-8669","1530-8677"],"issn-type":[{"type":"print","value":"1530-8669"},{"type":"electronic","value":"1530-8677"}],"subject":[],"published":{"date-parts":[[2017]]}}}