{"title":"隐马尔可夫模型和神经网络方法在雷达目标检测中的应用","authors":"R. Lahouari, B. Abdelkader, M. Larbi","doi":"10.1109/CIMA.2005.1662323","DOIUrl":null,"url":null,"abstract":"The recent evolution of radar and sonar is obvious, as that of most of the technical domains, by the extremely fast development of the information processing capacities. To answer for increasing necessities of the users, this evolution led to endow the radar and the sonar of several modes of functioning. In this article, two classical methods of data processing are suggested in detection of radar target domain. The first technique is based on hidden Markov model \"HMM\", so for the second is based on the neuron network approach \"ANN\", which inspired originally from intellectual functioning of the human being","PeriodicalId":306045,"journal":{"name":"2005 ICSC Congress on Computational Intelligence Methods and Applications","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Application of hidden Markov model and neural network approach for radar target detection\",\"authors\":\"R. Lahouari, B. Abdelkader, M. Larbi\",\"doi\":\"10.1109/CIMA.2005.1662323\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The recent evolution of radar and sonar is obvious, as that of most of the technical domains, by the extremely fast development of the information processing capacities. To answer for increasing necessities of the users, this evolution led to endow the radar and the sonar of several modes of functioning. In this article, two classical methods of data processing are suggested in detection of radar target domain. The first technique is based on hidden Markov model \\\"HMM\\\", so for the second is based on the neuron network approach \\\"ANN\\\", which inspired originally from intellectual functioning of the human being\",\"PeriodicalId\":306045,\"journal\":{\"name\":\"2005 ICSC Congress on Computational Intelligence Methods and Applications\",\"volume\":\"21 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-12-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2005 ICSC Congress on Computational Intelligence Methods and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CIMA.2005.1662323\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2005 ICSC Congress on Computational Intelligence Methods and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIMA.2005.1662323","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Application of hidden Markov model and neural network approach for radar target detection
The recent evolution of radar and sonar is obvious, as that of most of the technical domains, by the extremely fast development of the information processing capacities. To answer for increasing necessities of the users, this evolution led to endow the radar and the sonar of several modes of functioning. In this article, two classical methods of data processing are suggested in detection of radar target domain. The first technique is based on hidden Markov model "HMM", so for the second is based on the neuron network approach "ANN", which inspired originally from intellectual functioning of the human being