&lt;title&gt;Time frequency signatures of micro-Doppler phenomenon for feature extraction&lt;/title&gt;

Chen, Victor C.; Lipps, R.

doi:10.1117/12.381683

Cited by 45 publications

(27 citation statements)

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“…Originally introduced in coherent laser radar or ladar systems, the micro-Doppler phenomenon is defined as the 2206 ___________________________________ 978-1-4244-5900-1/10/$26.00 ©2010 IEEE frequency modulation induced by mechanical vibration or rotation of structures on a target [7]. The micro-Doppler phenomenon can be regarded as a characteristic of the interaction between the vibrating or rotating structures and the target body, and then micro-Doppler signature provides an additional piece of information for target recognition that is complementary to existing recognition methods.…”

Section: Doppler Effect and Micro-doppler Phenomenonmentioning

confidence: 99%

The inversion of sea state based on the micro-Doppler analysis of sea-clutter

Yang

Jiang

et al. 2010

IEEE 10th INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS

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The real sea-clutter data are always hard to analyze due to their instinct complexity, large scale non-stationary, and lack of fundamental understanding of the natural dynamics. Measurable modeling of sea clutter is an important precondition in many research areas and practical applications, such as salvage and marine radar signal processing. However, few works have been down on the time-frequency analysis of sea clutter, especially no effective method for sea state inversion from sea clutter has been proposed. In this work, the author take into account the motion model of sea surface in typical scenarios via time-frequency and micro-Doppler effect analysis. Different contributions of the waves' velocity may provide intuitionistic ISAR images and contain certain motion parameters, from which certain sea state parameters might be inversed. Both theoretical simulation and experimental results indicate the usefulness of the model and method proposed in this work.

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Section: Doppler Effect and Micro-doppler Phenomenonmentioning

confidence: 99%

The inversion of sea state based on the micro-Doppler analysis of sea-clutter

Yang

Jiang

et al. 2010

IEEE 10th INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS

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“…An illustration of the relationship between the SBCs and the traditional sheet conditions is given in Appendix A. It is interesting to note that (2) and (3) reduce to the standard IBC of (1) if the fields are set to zero in either region. Furthermore, if and in both regions, (2) and (3) reduce to the usual boundary conditions at a source-free interface.…”

Section: Sheet Boundary Conditionsmentioning

confidence: 99%

“…There are a number of applications in which the scattered EM Doppler spectrum is of interest. Several recent studies have found that the Doppler spectrum is useful for target detection and recognition [2]- [5]. It has also been applied to modal analysis of vibrating structures [6].…”

Section: Introductionmentioning

confidence: 99%

Electromagnetic scattering from vibrating penetrable objects using a general class of time-varying sheet boundary conditions

Lawrence

Sarabandi

2006

IEEE Trans. Antennas Propagat.

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Abstract-Calculation of electromagnetic (EM) scattering from vibrating penetrable cylinders of arbitrary cross-section is presented using a general class of time-varying sheet boundary conditions (SBCs) in conjunction with the method of moments (MoM). Sheet impedance and admittance expressions are first derived from the exact scattering solution for a penetrable circular cylinder with perturbed radius. Then, using the SBCs, integral equations are derived and solved numerically so that vibrating cylinders with arbitrary cross-section can be treated. Cylinder vibrations are assumed to be non-relativistic, allowing a simplified calculation of the scattered Doppler spectrum. A critical factor in the calculation of the potentially small Doppler components is that the time-varying nature of the cylinder boundary, contained within the sheet impedance and admittance expressions, can be isolated from the unperturbed terms in the scattered field. Comparison with exact and analytical perturbation solutions are presented to demonstrate the accuracy of the numerical solution.Index Terms-Doppler spectrum, electromagnetic scattering, impedance boundary conditions, method of moments (MoM), RCS, sheet boundary conditions.

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“…In spectrogram, the Micro-Doppler induced by periodic rotating or vibrating is shown as sinusoidal frequency modulation [3,[6][7]. V. C. Chen systematically researches Micro-Doppler frequency shift and extracts Micro-Doppler information by mainly using Time-Frequency analysis techniques [1,3,[6][7][8][9]; T. Thayaparan detects and separates Micro-Doppler information by utilizing adaptive Joint Time-Frequency representation and Wavelet Transform theory [10][11][12]; Pawan Setlur parameterizes Micro-Doppler signal and implements its separation [13]; Reference [14] decomposes Micro-Doppler signal as linear combination of independent basis function; Reference [15] puts forward an Adaptive Chirplet Decomposition algorithm with heavy calculation burden; Reference [16] brings forward Hough Transform method for targets with large rotors, but its calculation cost is also high. In the paper, a simple and easily operated method based on Spectrogram Cancellation is presented, which is effective for extraction of Micro-Doppler.…”

Section: Introductionmentioning

confidence: 99%

A new separation method for Micro-Doppler information of a target with rotating parts

Luo

Chen

et al. 2008

2008 International Conference on Communications, Circuits and Systems

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The classical Range-Doppler algorithm can't obtain clear ISAR image of a target with rotating parts. In spectrogram, the Micro-Doppler information of the rotor blades is represented as the sinusoidal frequency modulation, whereas the information of main body is depicted as the form of straight lines. So the extraction of Micro-Doppler is transformed to the separation of the sinusoids and straight lines. Based on this idea, a simple method of spectrogram cancellation is proposed, which can quickly achieve the purpose of separation and get clear ISAR image of main body. The effectiveness of the algorithm is proved by the simulation results.

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<title>Time frequency signatures of micro-Doppler phenomenon for feature extraction</title>

Cited by 45 publications

References 0 publications

The inversion of sea state based on the micro-Doppler analysis of sea-clutter

The inversion of sea state based on the micro-Doppler analysis of sea-clutter

Electromagnetic scattering from vibrating penetrable objects using a general class of time-varying sheet boundary conditions

A new separation method for Micro-Doppler information of a target with rotating parts

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