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

Toshihiko FUKUE; Nozomu HAMADA

doi:10.1093/ietcom/e88-b.5.2142

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

Toshihiko FUKUE, Nozomu HAMADA

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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.

Publication: IEICE TRANSACTIONS on Communications Vol.E88-B No.5 pp.2142-2151

Publication Date: 2005/05/01

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DOI: 10.1093/ietcom/e88-b.5.2142

Type of Manuscript: PAPER

Category: Sensing

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Toshihiko FUKUE, Nozomu HAMADA, "DOA Estimation of Moving Target under the Clutter Environment by Applying MUSIC to the QMF Doppler Filter Bank" in IEICE TRANSACTIONS on Communications, vol. E88-B, no. 5, pp. 2142-2151, May 2005, doi: 10.1093/ietcom/e88-b.5.2142.
Abstract: 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.
URL: https://globals.ieice.org/en_transactions/communications/10.1093/ietcom/e88-b.5.2142/_p

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@ARTICLE{e88-b_5_2142,
author={Toshihiko FUKUE, Nozomu HAMADA, },
journal={IEICE TRANSACTIONS on Communications},
title={DOA Estimation of Moving Target under the Clutter Environment by Applying MUSIC to the QMF Doppler Filter Bank},
year={2005},
volume={E88-B},
number={5},
pages={2142-2151},
abstract={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.},
keywords={},
doi={10.1093/ietcom/e88-b.5.2142},
ISSN={},
month={May},}

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TY - JOUR
TI - DOA Estimation of Moving Target under the Clutter Environment by Applying MUSIC to the QMF Doppler Filter Bank
T2 - IEICE TRANSACTIONS on Communications
SP - 2142
EP - 2151
AU - Toshihiko FUKUE
AU - Nozomu HAMADA
PY - 2005
DO - 10.1093/ietcom/e88-b.5.2142
JO - IEICE TRANSACTIONS on Communications
SN -
VL - E88-B
IS - 5
JA - IEICE TRANSACTIONS on Communications
Y1 - May 2005
AB - 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.
ER -