Interferometric Isar Imaging on Maritime Target Applications: Simulation of Realistic Targets and Dynamics

Felguera-Martin, David; González-Partida, José-Tomás; Burgos-García, M.

doi:10.2528/pier12090802

Cited by 12 publications

(13 citation statements)

References 25 publications

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“…There are many radar signatures which can be used for radar target recognition: Natural frequencies of radar target [159][160][161][162][163][164][165][166], high resolution range (HRR) profiles [72,[75][76][77][78][79][80] of radar target, microwave image of the radar target [1,26,31,50,55,70,73,[81][82][83][84][85][86][87][88][89][90][91][92][93][94][95][96][97][98][99][100], and inverse synthetic aperture radar (ISAR) [55, 86-100, 125, 126] image proved to be useful features for target recognition. Jet engine modulation and helicopter modulation [127,128] have also been known as useful features for target recognition.…”

Section: Introductionmentioning

confidence: 99%

Effect of Threshold Value on the Performance of Natural Frequency-Based Radar Target Recognition

Cho¹,

Lee²

2013

PIER

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Abstract-In this paper, the performance analysis of the natural frequency-based radar target recognition in the time domain is considered. We investigate the dependence of the probability of correct classification on a specific threshold value, and determine the optimum threshold value for two targets, and the sub-optimal threshold for multiple targets to maximize the probability of correct classification. Based on the probability density function (PDF) of some quantity consisting of the projections of the late time response onto the column spaces of the matrices constructed using the natural frequencies of the specific targets, we propose how to determine an optimum threshold in the sense that the probability of correct classification of two targets is maximized. By extending the scheme for two targets, we show how to determine a threshold value close to the optimal threshold for multiple targets. The scheme is validated by comparing the performance using the analytic method with that using the Monte-Carlo simulation.

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Section: Introductionmentioning

confidence: 99%

Effect of Threshold Value on the Performance of Natural Frequency-Based Radar Target Recognition

Cho¹,

Lee²

2013

PIER

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“…Linear TFTs, such as the shorttime Fourier transform (STFT) and the wavelet transform (WT) are well-known methods and are conceptually simple to implement [8][9][10]. Despite their operational simplicity, the resolution limitation always arises from the window-induced Heisenberg-Gabor limit.…”

Section: Introductionmentioning

confidence: 99%

“…Different from the synthetic aperture radar (SAR) images [1][2][3], the ISAR (inverse SAR) images [4][5][6][7][8][9] can have severe image smearing problems caused by the time-varying Doppler frequency. This is because conventional ISAR imaging with the Fourier transform (FT) cannot show how frequency components vary with time.…”

Section: Introductionmentioning

confidence: 99%

Enhanced and Efficient Isar Image Focusing Using the Discrete Gabor Representation in an Oversampling Scheme

Park¹,

Myung²

2013

PIER

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Abstract-Inverse synthetic aperture radar (ISAR) imaging is one of the most well-known techniques of radar target recognition. One of the most important issues in ISAR imaging is the improvement of the image smeared by a moving target. In this paper, we propose the discrete Gabor representation (DGR) in an oversampling scheme as an effective means of obtaining a well-focused ISAR image with a short calculation time. In contrast to other linear time-frequency transforms (TFTs), the DGR obtains Gabor coefficients using the analysis window frames derived from the clearly defined Gaussian-type synthesis window. The oversampling scheme of the DGR leads to accurate calculations of the Gabor coefficients, which denote signal timefrequency amplitude. Since each Gabor coefficient is compartmentally assigned to the associated unit cell of the time-frequency grid, the DGR can show an excellent time-frequency concentration and can effectively discriminate the Doppler components of prominent pointscatterers. The application results demonstrate that the DGR not only has enhanced focusing performance but also retains computational efficiency. The DGR in the oversampling scheme is expected to facilitate high-quality ISAR imaging in radar target recognition.

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“…The inverse synthetic aperture radar (ISAR) can obtain high resolution images of moving targets by utilizing the information inherent in differential target Doppler and is greatly contributive in target recognition [1][2][3][4][5][6]. Generally, ISAR aims at non-cooperative moving target, whose motion can be decomposed into rotational motion and translational motion.…”

Section: Introductionmentioning

confidence: 99%

Coherent Phase Compensation Method Based on Direct if Sampling in Wideband Radar

Lin¹,

Chen²,

Zhang³

et al. 2013

PIER

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Abstract-In order to eliminate the negative influence of the rotational phase component (RPC) of target prominent scattering centres on the performance of Doppler centroid tracking (DCT) method, a coherent phase compensation method is proposed. The coherence of echo pulses sampled directly in intermediate frequency (IF) is firstly analyzed and proved.Based on the coherence property, the proposed approach improves the translational phase component (TPC) estimation accuracy of DCT. Compared to the modified Doppler centroid tracking (MDCT) algorithm, the proposed method achieves better phase compensation performance with simpler operations. Both the theoretical analysis and experimental results based on the real ISAR data prove the effectiveness and efficiency of the presented strategy.

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Interferometric Isar Imaging on Maritime Target Applications: Simulation of Realistic Targets and Dynamics

Cited by 12 publications

References 25 publications

Effect of Threshold Value on the Performance of Natural Frequency-Based Radar Target Recognition

Effect of Threshold Value on the Performance of Natural Frequency-Based Radar Target Recognition

Enhanced and Efficient Isar Image Focusing Using the Discrete Gabor Representation in an Oversampling Scheme

Coherent Phase Compensation Method Based on Direct if Sampling in Wideband Radar

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