{"title":"Robust DFT-based signal processing in Micro-Doppler radars","authors":"V. Lukin, A. Roenko, A. Totsky, Djurovic Igor","doi":"10.1109/MSMW.2010.5546159","DOIUrl":null,"url":null,"abstract":"Micro-Doppler (mD) radar is an efficient tool for surveillance systems and they are rapidly developing now [1]. One reason for this is the potential ability of mD radars to provide additional information (features) useful for recognition of objects extracted from short-time spectral or higher-order estimates [2]. In particular, it is known that a signal reflected from a walking human represents a set of harmonics reflected by different parts of a human body. These harmonics have amplitudes and frequencies changing in time. Joint analysis of these frequencies and their evolution in time serve as aforementioned features that are to be retrieved.","PeriodicalId":129834,"journal":{"name":"2010 INTERNATIONAL KHARKOV SYMPOSIUM ON PHYSICS AND ENGINEERING OF MICROWAVES, MILLIMETER AND SUBMILLIMETER WAVES","volume":"157 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 INTERNATIONAL KHARKOV SYMPOSIUM ON PHYSICS AND ENGINEERING OF MICROWAVES, MILLIMETER AND SUBMILLIMETER WAVES","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MSMW.2010.5546159","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Micro-Doppler (mD) radar is an efficient tool for surveillance systems and they are rapidly developing now [1]. One reason for this is the potential ability of mD radars to provide additional information (features) useful for recognition of objects extracted from short-time spectral or higher-order estimates [2]. In particular, it is known that a signal reflected from a walking human represents a set of harmonics reflected by different parts of a human body. These harmonics have amplitudes and frequencies changing in time. Joint analysis of these frequencies and their evolution in time serve as aforementioned features that are to be retrieved.