DOA Estimation of Moving Target under the Clutter Environment by Applying MUSIC to the QMF Doppler Filter Bank(Sensing)
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概要
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This paper proposes a new angular measurement system to a moving target in the presence of clutter. We apply MUSIC (MUltiple SIgnal Classification) to the outputs of a Doppler filter bank consisting of quadrature mirror filter (QMF). The comparison between QMF and the short time Fourier transform (STFT) as a preprocessor of MUSIC is also discussed. DOA estimation performance by QMF-MUSIC is nearly equal to that of STFT-MUSIC. On the other hand, QMF-MUSIC overcomes STFT-MUSIC in the aspect of computational cost. In a specific example in this paper, the proposal QMF bank by Daubechies (4th order) wavelet requires 80% fewer the number of multiplications and 25% fewer the number of additions than the FFT-based STFT filter bank.
- 2005-05-01
著者
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Hamada Nozomu
Signal Processing Lab. School Of Integrated Design Engineering Keio University
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Fukue Toshihiko
Signal Processing Lab. School Of Integrated Design Engineering Keio University
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Hamada Nozomu
Signal Processing Lab. Graduate School Of Integrated Design Engineering Keio University
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