Precession missile feature extraction using sparse component analysis of radar measurements
09 Feb 2012-EURASIP Journal on Advances in Signal Processing (Springer International Publishing)-Vol. 2012, Iss: 1, pp 24
TL;DR: The radar signal model of the precessing conical missile during flight is analyzed and the sparse dictionary which is parameterized by the unknown precession frequency is developed, which establishes the sparse signal model.
Abstract: 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.
Citations
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TL;DR: The reconstruction of moving targets' HRRP through CS-based matched filtering algorithms shows that the sub-Nyquist sampled jamming signals, formed by the under-sampled radar signals in scatter-wave jamming configuration, provide a capability of deception jamming.
Abstract: As recently demonstrated, compressive sensing (CS) is potential in exact recovery of an unknown sparse signal from very limited samples. In this paper, sub-Nyquist sampling jamming against inverse synthetic aperture radar (ISAR) imaging is presented, where the CS-based algorithm is applied to the high-resolution range profile (HRRP) reconstruction other than the Doppler profile reconstruction. The reconstruction of moving targets’ HRRP through CS-based matched filtering algorithms shows that the sub-Nyquist sampled jamming signals, formed by the under-sampled radar signals in scatter-wave jamming configuration, provide a capability of deception jamming. The finally reconstructed ISAR images show that the deceptive false-target images retaining the real target information will be induced. Hence, the rational utilization of sub-Nyquist sampling jamming can generate vivid decoys in ISAR countermeasures. Experimental results of the scattering model of the Yak-42 plane are used to verify the correctness of the jamming idea.
27 citations
Cites background from "Precession missile feature extracti..."
...Since the CS-based ISAR imaging has exhibited excellent quality in military application, such as aircraft/ship imaging and feature extraction [9], [10] of non-cooperative targets with less signal acquisition and finer resolution, countermeasures that can generate deceptive false-target images are in high demand in electronic warfare [11]–[15]....
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TL;DR: In this paper, the authors explored a way of jointly estimating micromotion dynamics and geometrical shape parameters from the IR signals of targets in remote detection distance, and they found that the dynamic properties of the target would induce a periodic fluctuating variation on the IR irradiance intensity signature.
Abstract: The micromotion dynamics and geometrical shape are considered to be essential characteristics for exoatmospheric targets discrimination. Many methods have been investigated to retrieve the micromotion features using radar signals returned from targets of a given shape. We explore a way of jointly estimating micromotion dynamics and geometrical shape parameters from the infrared (IR) signals of targets in remote detection distance. It is found that the micromotion dynamics of the target would induce a periodic fluctuating variation on the IR irradiance intensity signature. In addition to the micromotion characteristics, the fluctuation could also reflect target structure properties, which offer a possible clue in extracting the features of micromotion dynamics and geometrical shape. Thus, the data model of target IR irradiance intensity signatures induced by micromotion patterns including spinning, coning, and tumbling is developed, and a method of parameters estimation based on joint optimization analysis techniques is proposed. Experimental results demonstrated that the parameters of target micromotion dynamics and geometrical shape can be effectively estimated using the proposed method, if the input signature contains multiple dominant frequency components.
18 citations
TL;DR: In this article, the authors proposed a method to derive the MD image of the ballistic missile by applying the range-Doppler algorithm (RDA) based on the real ∞ight scenario and analyzes the factor for the real-time MD imaging.
Abstract: Micro-Doppler (MD) caused by the motion of the ballistic missile can contribute to successful recognition of the ballistic missile. Considering the real observation scenario. This paper proposes a method to derive the MD image of the ballistic missile by applying the range-Doppler algorithm (RDA) based on the real ∞ight scenario and analyzes the factor for the real-time MD imaging. Simulation results using the ∞ight trajectory constructed using the real target parameter demonstrate that we need a new cost function for phase adjustment and a new method for range alignment. In addition, matched-flltering needs to be performed in the baseband, and a su-cient PRF is required to prevent discontinuity of the MD image. Dechirping of MD and flltering of the random movement are also needed for a clear MD image. Among the various weapons used in the modern battlefleld, the ballistic missile in∞icts the biggest threat due to its high maneuvering speed and low radar cross section (RCS), and thus defending against the ballistic missile is a major issue. Recently, a theory has been developed to explain micro-Doppler (MD) efiect caused by the micro motion of the target and applied for radar target recognition purpose (1,2). In the case of the ballistic missile, three motion components | spinning, conning and nutation | cause MD, and they can be utilized for target recognition in combination with the motion parameter (1,3,4). However, very little research has been reported on its application to the real ∞ight scenario and the factor that needs to be considered for the real-time MD imaging. In this paper, considering the real observation scenario by a radar, we propose a method to extract an MD signature of a ballistic missile engaged in the real ∞ight scenario by applying the range-Doppler algorithm (RDA), which is generally used to form the inverse synthetic aperture radar (ISAR) image (5{8), and analyze various factors for the real-time high quality MD image. For this purpose, we constructed the ∞ight trajectory by using the real motion parameters of a 500km range scud missile conducted a translation motion compensation (TMC). Then, the time-varying MD image was formed by applying the time-frequency transform (TFT). Various simulations were performed by using the obtained MD image to study the requirement for the real-time MD imaging. Simulation results obtained by using a target composed of the point scatter demonstrate that the MD signature can be successfully constructed by using the range-Doppler algorithm. However, a new method for TMC is required for real-time high-quality MD imaging. In addition, matched-flltering (MF) in the baseband is required to form a focused image, and a su-cient PRF is needed to remove discontinuity. The re∞ected signal needs to be dechirped to reduce the required PRF, and a fllter needs to be designed to remove the random movement.
17 citations
TL;DR: A new approach, named sinusoidal frequency modulation sparse recovery (SFMSR) for m-D analysis with LFLRR, by exploiting the micro motion spectrum sparsity in SFM signal space and employing the Fourier modulation dictionary.
Abstract: Low-frequency long-range radars (LFLRRs) are assumed to lack the ability of extracting targets micro motion signature, due to their low and nonuniform track update rate, as well as the weak micro Doppler (m-D) owing to their large wave length. The recently proposed sinusoidal frequency modulated (SFM) Fourier transform can achieve a longer integral period gain, and consequently provides a new perspective for extracting weak m-D signature. However, its direct application is unavailable for LFLRRs, since their track update rate is very low and may not even be constant. This paper derives a new approach, named sinusoidal frequency modulation sparse recovery (SFMSR) for m-D analysis with LFLRR, by exploiting the micro motion spectrum sparsity in SFM signal space. SFMSR employs the Fourier modulation dictionary, which is determined only by the frequency in SFM signal space. Unlike other sparse representation-based methods whose dictionary is discretization of a 3-D space parameterized by the micro motion amplitude, frequency, and initial phase, the SFMSR reduces the m-D analysis to 1-D parameter optimization, and therefore can enhance the precision, stability, and computational efficiency simultaneously. The temporally correlated sparse Bayesian learning in SFM signal space is employed to decompose the signal and produce highly sparse solutions. The simulation results indicate that the proposed method outperforms the existing methods in accuracy and robustness, which can provide satisfactory performance even when the carrier frequency is 430 MHz and the average data rate is 0.5 Hz.
7 citations
Cites methods from "Precession missile feature extracti..."
...Recent developing area of sparse representation (SR) brought out several SR based m-D analysis algorithms, such as orthogonal matching pursuit (OMP) based [22], [23] and Sparse Bayesian Learning (SBL) based methods [24]....
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06 Jul 2013
TL;DR: Considering the rotationally symmetric targets, the sparse representation model of the ballistic midcourse targets with micro-motion is established and the sparse recovery algorithm named SBL (Sparse Bayesian Learning) is analyzed, which can provide a much sparser solution than the general sparse recovery algorithms.
Abstract: The ISAR (inverse synthetic aperture radar) imaging technology is an important tool for the ballistic missile midcourse target recognitions. Considering the rotationally symmetric targets, the sparse representation model of the ballistic midcourse targets with micro-motion is established. The sparse recovery algorithm named SBL (Sparse Bayesian Learning) is analyzed, which can provide a much sparser solution than the general sparse recovery algorithms. Based on the newly developed CS (Compress sensing) theory, the ISAR imaging of the ballistic missile is reconstructed by using only a few echoes. Simulation results verify the validity and superiority of the proposed method.
5 citations
Cites methods from "Precession missile feature extracti..."
...A sparse representation method based on orthogonal matching pursuit algorithm (OMP) algorithm is proposed to jointly estimate the precession frequency and the scattering centers of the missile in [10]....
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References
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TL;DR: Two non-linear least-squares (NLLS) estimators, NLLS1 and NllS2, are proposed, which consist of matching the data and the squared data, respectively, with a constant amplitude harmonic.
27 citations
TL;DR: This work proposes a new technique for estimating 2-D scattering centers using radar data in the frequency-aspect domain, and shows that the proposed method is efficient not only for estimating 1-dimensional scattering centers on the target but also in computation.
Abstract: The concept of scattering centers on a target is commonly used for radar signature modeling and data compression, as well as target recognition. In particular, two-dimensional (2-D) scattering centers are useful features in automatic target recognition, which uses a synthetic aperture radar system, because they are directly related to physical scattering mechanisms and also have small dimensionality. We propose a new technique for estimating 2-D scattering centers using radar data in the frequency-aspect domain. The technique first estimates one-dimensional scattering centers at several aspects, and the multiple elastic modules network optimization is exploited to find 2-D locations and amplitudes of the target's scattering centers. Experimental results illustrate that the proposed method is efficient not only for estimating 2-D scattering centers on the target but also in computation.
22 citations
"Precession missile feature extracti..." refers background in this paper
...As we can see from (1), the radar scattering mechanisms are complicated, even for a geometrically simple target [15]....
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20 Apr 2009
TL;DR: In this article, a method of feature extraction of target with precession based on the micro-Doppler modulation is provided, where the radar echo model of cone with pre-cession is simulated by point scattering model, and the modulation of Doppler frequency caused by precession is developed.
Abstract: Precession is a key feature for distinguishing warhead from decoys in the missile mid course, and a method of feature extraction of target with precession based on the micro-Doppler modulation is provided in this paper. The radar echo model of cone with precession is simulated by point scattering model, and the modulation of Doppler frequency caused by precession is developed. As the spread of echo spectrum corresponding to the modulation amplitude of micro-Doppler frequency, a method utilizing the spread of echo spectrum is provided to estimate the precession angle. Based on the characteristics of micro-Doppler, a 2D reconstruction of the target using inverse Radon transform and time-frequency distribution is proposed. The experiments demonstrate the validation of proposed method.
20 citations
"Precession missile feature extracti..." refers background or methods in this paper
...Generally, the upside of the BM is full of the materials with low density, such as the fuze and some carbonaceous stuff, and the main load of the BM is at the bottom [14]....
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...So it is not complicated to compensate for the time-variation of the parameters θ(t) and b(t) and the actual method of the compensation [14] need not be discussed in this article....
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06 Jun 1993
16 citations
18 Aug 2008
TL;DR: A new homing guidance and estimation algorithm for both terminal and boost phase intercept of the ballistic missile defense is proposed to estimate the engagement state in the presence of unknown target acceleration and guide the interceptor to hit the target based on the state estimate.
Abstract: A new homing guidance and estimation algorithm for both terminal and boost phase intercept of the ballistic missile defense is proposed. The objectives of the algorithm are to estimate the engagement state in the presence of unknown target acceleration and guide the interceptor to hit the target based on the state estimate. The algorithm, derived by applying the linear-exponential-Gaussian (LEG) difierential game with difierent information patterns, is the integration of a fllter in cascade with a guidance law. In a certain limit of the LEG difierential game, the guidance law is equivalent to the classic game-theoretic guidance law determined based on the anticipated worst possible target acceleration. The fllter is determined by blocking the dynamic efiect of the target in the target acceleration direction. It is completely difierent from the traditional flltering techniques which estimate the target acceleration based on certain target models. The algorithm is demonstrated in numerical examples with the hit-to-kill capability against ballistic missiles in the terminal and boost phases.
14 citations