PCA-Based Detection Algorithm of Moving Target Buried in Clutter in Doppler Frequency Domain
Summary :
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.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E94-B No.11 pp.3190-3194
- Publication Date
- 2011/11/01
- Publicized
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.E94.B.3190
- Type of Manuscript
- LETTER
- Category
- Sensing
Authors
Keyword
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Muhammad WAQAS, Shouhei KIDERA, Tetsuo KIRIMOTO, "PCA-Based Detection Algorithm of Moving Target Buried in Clutter in Doppler Frequency Domain" in IEICE TRANSACTIONS on Communications,
vol. E94-B, no. 11, pp. 3190-3194, November 2011, doi: 10.1587/transcom.E94.B.3190.
Abstract: 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.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E94.B.3190/_p
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@ARTICLE{e94-b_11_3190,
author={Muhammad WAQAS, Shouhei KIDERA, Tetsuo KIRIMOTO, },
journal={IEICE TRANSACTIONS on Communications},
title={PCA-Based Detection Algorithm of Moving Target Buried in Clutter in Doppler Frequency Domain},
year={2011},
volume={E94-B},
number={11},
pages={3190-3194},
abstract={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.},
keywords={},
doi={10.1587/transcom.E94.B.3190},
ISSN={1745-1345},
month={November},}
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TY - JOUR
TI - PCA-Based Detection Algorithm of Moving Target Buried in Clutter in Doppler Frequency Domain
T2 - IEICE TRANSACTIONS on Communications
SP - 3190
EP - 3194
AU - Muhammad WAQAS
AU - Shouhei KIDERA
AU - Tetsuo KIRIMOTO
PY - 2011
DO - 10.1587/transcom.E94.B.3190
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E94-B
IS - 11
JA - IEICE TRANSACTIONS on Communications
Y1 - November 2011
AB - 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.
ER -
English
