Removal of Jem Signal by Accurate Estimation of Initial Parameters of Chirplet Basis Functions

Jung, Joo Ho; Kim, Young Ho; Park, Sang Hong

doi:10.2528/pier13062408

Cited by 7 publications

(2 citation statements)

References 14 publications

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“…For this purpose, the range profiles of the Boeing747 obtained at two different time frames (0.2-0.6 and 1.1-1.5 s) were superposed; to simulate three aircraft flying in formation, the range profiles measured for 0.2-0.6 s were used twice with the second set of range profiles shifted in cross-range direction. To remove the image blurring caused by the effect of jet engine modulation, the method based on the adaptive chirplet representation was applied [17]. Then, to demonstrate the effectiveness of the proposed coarse alignment method, the (a) Coarse alignment result (b) ISAR image of (a) Figure 11.…”

Section: Simulation Resultsmentioning

confidence: 99%

An Efficient Isar Imaging Method for Multiple Targets

Jung¹,

Kim²,

Kim³

et al. 2014

PIER

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Abstract-This paper proposes an efficient method to obtain ISAR images of multiple targets flying in formation. The proposed method improves the coarse alignment and segmentation of the existing method. The improved coarse alignment method models the flight trajectory using a combination of a polynomial and Gaussian basis functions, and the optimum parameter of the trajectory is found using particle swarm optimization. In the improved segmentation, the binary image of the bulk ISAR image that contains all targets is constructed using a two-dimensional constant false alarm detector, then the image closing method is applied to the binary image. Finally, the connected set of binary pixels is used to segment each target from the bulk image. Simulations using three targets composed of point scattering centers and the measured data of the Boeing747 aircraft prove the effectiveness of the proposed method to segment three targets flying in formation.

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Section: Simulation Resultsmentioning

confidence: 99%

An Efficient Isar Imaging Method for Multiple Targets

Jung¹,

Kim²,

Kim³

et al. 2014

PIER

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“…In the test phase, RPs of three randomly selected targets were placed so that the ISAR images did not overlap, then the obtained ISAR images were segmented, yielding 300 test images. The jet engine modulation by the rotating jet turbines was removed by applying the method of adaptive chirplet representation [18]. ISAR images obtained by using the segmentation algorithm were correctly segmented (Fig.…”

Section: Simulation Results Using a Real Boeing 747 Aircraftmentioning

confidence: 99%

Automatic Recognition of Isar Images of Multiple Targets and Atr Results

Park¹

2014

PIER B

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Inverse synthetic aperture radar (ISAR) imaging is an effective method to identify unknown targets regardless of weather and illumination conditions. Research results published regarding this topic have focused mainly on imaging and automatic target recognition (ATR) of single targets. However, targets generally fly in formation, so the applicability of ISAR images to ATR of multiple targets must be studied. This paper proposes an ATR procedure for targets flying in formation. ATR accuracy derived using five targets composed of point scatterers and the measured radar signal of a Boeing 747 aircraft was as high as that of the solo flight in terms of SNR and the size of the training database; this result shows that ISAR is an adequate tool for ATR even if an image is contaminated by radar reflections from neighboring targets.

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