PCA-Based Detection Algorithm of Moving Target Buried in Clutter in Doppler Frequency Domain

Muhammad WAQAS  Shouhei KIDERA  Tetsuo KIRIMOTO  

IEICE TRANSACTIONS on Communications   Vol.E94-B   No.11   pp.3190-3194
Publication Date: 2011/11/01
Online ISSN: 1745-1345
DOI: 10.1587/transcom.E94.B.3190
Print ISSN: 0916-8516
Type of Manuscript: LETTER
Category: Sensing
moving target detection,  pulse Doppler radar,  principal component analysis (PCA),  

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This letter proposes a novel technique for detecting a target signal buried in clutter using principal component analysis (PCA) for pulse-Doppler radar systems. The conventional detection algorithm is based on the fast Fourier transform-constant false alarm rate (FFT-CFAR) approaches. However, the detection task becomes extremely difficult when the Doppler spectrum of the target is completely buried in the spectrum of clutter. To enhance the detection probability in the above situations, the proposed method employs the PCA algorithm, which decomposes the target and clutter signals into uncorrelated components. The performances of the proposed method and the conventional FFT-CFAR based detection method are evaluated in terms of the receiver operating characteristics (ROC) for various signal-to-clutter ratio (SCR) cases. The results of numerical simulations show that the proposed method significantly enhances the detection probability compared with that obtained using the conventional FFT-CFAR method, especially for lower SCR situations.