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http://dx.doi.org/10.5515/KJKIEES.2012.23.1.085

Spectral Analysis Method to Eliminate Spurious in FMICW HRR Millimeter-Wave Seeker  

Yang, Hee-Seong (Department of Electrical Engineering, KAIST)
Chun, Joo-Hwan (Department of Electrical Engineering, KAIST)
Song, Sung-Chan (Samsung Thales Co., Ltd.)
Publication Information
The Journal of Korean Institute of Electromagnetic Engineering and Science / v.23, no.1, 2012 , pp. 85-95 More about this Journal
Abstract
In this thesis, we develop a spectral analysis scheme to eliminate the spurious peaks generated in HRR Millimeterwave Seeker based on FMICW system. In contrast to FMCW system, FMICW system generates spurious peaks in the spectrum of its IF signal, caused by the periodic discontinuity of the signal. These peaks make the accuracy of the system depend on the previously estimated range if a band pass filter is utilized to eliminate them and noise floor go to high level if random interrupted sequence is utilized and in case of using staggering process, we must transmit several waveforms to obtain overlapped information. Using the spectral analysis one of the schemes such as IAA(Iterative Adaptive Approach) and SPICE(SemiParametric Iterative Covariance-based Estimation method) which were introduced recently, the spurious peaks can be eliminated effectively. In order to utilize IAA and SPICE, since we must distinguish between reliable data and unreliable data and only use reliable data, STFT(Short Time Fourier Transform) is applied to the distinguishment process.
Keywords
Iterative Adaptive Approach; SemiParametric Iterative Covariance-Based Estimation Method; Frequency Modulated Interrupted Continuous Wave; High Resolution Radar; Short Time Fourier Transform;
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