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    Editorial: Time-Frequency Approach to Radar Detection, Imaging, and Classification

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    Date
    2010-06
    Author
    Thayaparan, Thayananthan
    Stankovic, Ljubisa
    Amin, Moeness
    Chen, Victor
    Cohen, Leon
    Boashash, Boualem
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    Abstract
    One of the central problems in exploiting the radar data is the analysis of atime series. The problem at hand is how to extract the information present in the data and use it to its full potential. Traditionally, radar signals have been analysed in either the time or the frequency domain. The Fourier Transform is at the heart of a wide range of techniques that are generally used in radardata analysis and processing. However, the change of frequency content withtime is one of the main features we generally observe in radar data. As a result of this change of frequency content with time, radar signals belong to the class of non-stationary signals. The analysis of non-stationary signals requires a technique that extends the notion of a global frequency spectrum to a localfrequency description. Joint time-frequency analysis using time-frequencytransforms has improved the analysis of non-stationary signals by revealingtime-varying information embedded in signals.

    DOI/handle
    http://hdl.handle.net/10576/10767
    http://dx.doi.org/10.1049/iet-spr.2010.9050
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    • Engineering Innovation Research [‎41 ‎ items ]

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