Range Doppler laser radar for midcourse discrimination - The Fireflyexperiments

Schultz, K.J.; Davidson, Steven A.; Stein, A. J.; Parker, J. K.

doi:10.2514/6.1993-2653

Cited by 13 publications

(3 citation statements)

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“…The character inversion of mid-course missile is the key technology in missile defense system [1], but there are several problems such as: the electromagnetic modulation is difficult to explain; the information extracted from returned signal is limited with the parameters of radar system; the motional character of the targets is uncertainty, etc. This paper aims at extracting the geometric character of the midcourse targets from narrowband radar cross section, and provides a new inversion method based on the new sphereellipse model.…”

Section: Introductionmentioning

confidence: 99%

Notice of Retraction: The character inversion of the mid-course missile based on the sphere-ellipse model

Ding

Zhang

Wei

et al. 2010

2010 International Conference on Computer Application and System Modeling (ICCASM 2010)

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This paper is for the identification from the RCS sequence of the mid-course missile. On the base of analyzing its motion and electromagnetic scattering characteristic, a new method using RCS magnitude changes with respect to the object gesture angle for extracting the mid-course object's twodimensional length is presented. Comparing with the traditional method, the new method overcomes the disadvantage of the necessity for the maximal and minimal RCS value of the object. The experiment results tested by the simulated and anechoic chamber data of the representative missile object show the effectiveness of the method.

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Section: Introductionmentioning

confidence: 99%

Notice of Retraction: The character inversion of the mid-course missile based on the sphere-ellipse model

Ding

Zhang

Wei

et al. 2010

2010 International Conference on Computer Application and System Modeling (ICCASM 2010)

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“…The telemetered data of the FIREFLY ballistic mission simulation on 29th March 1990 [2] indicated that the spin rate of a cone shaped balloon was 0.85Hz.…”

Section: Radar Signal Model Developmentmentioning

confidence: 99%

Micro-Doppler extraction from ballistic missile radar returns using time-frequency analysis

Liu

McLernon

Ghogho

et al. 2010

2010 7th International Symposium on Wireless Communication Systems

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The spinning motion of a ballistic missile (BM) induces periodic frequency modulations on the returned radar signal. This micro-Doppler modulation frequency is a stable and unique parameter in radar target recognition. This paper first establishes the radar signal model of the spinning missile during flight, and then extracts the micro-Doppler modulation frequency through analysis of the periodic structure of the resulting spectrogram (short time Fourier Transform (STFT)) -i.e., the time-frequency distribution (TFD). In order to be used for BM target recognition we implemented a data-dependent optimal window length for the STFT. We treated the resultant TFD as an image and then used the 2-D DFT/FFT for feature extraction. Experimental results illustrate the validity of the proposed method.

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“…Research on the precession motion of the BM target in the United States goes back to the 1960s and the feasibility of recognizing the real warhead and decoys based on the precession motion was validated in the two "Firefly" missions in 1990 [11]. A conical tip is a commonly seen feature in many ballistic missiles [12].…”

Section: Signal Modelmentioning

confidence: 99%

Precession missile feature extraction using sparse component analysis of radar measurements

Liu

Ghogho

et al. 2012

EURASIP J. Adv. Signal Process.

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According to the working mode of the ballistic missile warning radar (BMWR), the radar return from the BMWR is usually sparse. To recognize and identify the warhead, it is necessary to extract the precession frequency and the locations of the scattering centers of the missile. This article first analyzes the radar signal model of the precessing conical missile during flight and develops the sparse dictionary which is parameterized by the unknown precession frequency. Based on the sparse dictionary, the sparse signal model is then established. A nonlinear least square estimation is first applied to roughly extract the precession frequency in the sparse dictionary. Based on the time segmented radar signal, a sparse component analysis method using the orthogonal matching pursuit algorithm is then proposed to jointly estimate the precession frequency and the scattering centers of the missile. Simulation results illustrate the validity of the proposed method.

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Range Doppler laser radar for midcourse discrimination - The Fireflyexperiments

Cited by 13 publications

References 0 publications

Notice of Retraction: The character inversion of the mid-course missile based on the sphere-ellipse model

Notice of Retraction: The character inversion of the mid-course missile based on the sphere-ellipse model

Micro-Doppler extraction from ballistic missile radar returns using time-frequency analysis

Precession missile feature extraction using sparse component analysis of radar measurements

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