DOA Estimation of Moving Target under the Clutter Environment by Applying MUSIC to the QMF Doppler Filter Bank

Toshihiko FUKUE  Nozomu HAMADA  

IEICE TRANSACTIONS on Communications   Vol.E88-B   No.5   pp.2142-2151
Publication Date: 2005/05/01
Online ISSN: 
DOI: 10.1093/ietcom/e88-b.5.2142
Print ISSN: 0916-8516
Type of Manuscript: PAPER
Category: Sensing
radar,  DOA,  MUSIC,  wavelet transform,  quadrature mirror filter bank,  

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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.