2014
DOI: 10.2528/pier14042905
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An Efficient Isar Imaging Method for Multiple Targets

Abstract: 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 targ… Show more

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Cited by 6 publications
(9 citation statements)
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References 14 publications
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“…We use the procedure introduced in [4,10] to derive the principle of MD of BM because the procedure is very easy to understand and clearly explains MD of BM. The monostatic chirp radar signal used for the measurement system at fast time t is devised system by clearly representing the MD signature of each target.…”
Section: Micro-doppler Principle Of Bmmentioning
confidence: 99%
See 1 more Smart Citation
“…We use the procedure introduced in [4,10] to derive the principle of MD of BM because the procedure is very easy to understand and clearly explains MD of BM. The monostatic chirp radar signal used for the measurement system at fast time t is devised system by clearly representing the MD signature of each target.…”
Section: Micro-doppler Principle Of Bmmentioning
confidence: 99%
“…t s is the slow time which is a multiple of T s , K is the number of the scatterers that comprise the k is the amplitude of scatterer k, and  k (t s ) is the two-way fast-time delay at t s between the radar Assuming that k located at (x k , y k ) is observed at (t s ) in the x-y plane,  k (t s ) is given by [10]  …”
Section: Bt T S T J F T Rectmentioning
confidence: 99%
“…where A l is the amplitude of scattering center l and d l,θ the time delay between the radar and scattering center l. For K targets flying in formation, (2) is changed to [12]…”
Section: Signal Modeling and Imaging Algorithmmentioning
confidence: 99%
“…Efficient algorithms such as range-Doppler [10] and time frequency analysis [11] were proposed to image a single target, but when multiple targets occur in a single radar beam, imaging each target separately is a difficult task. To solve this problem, [12] proposed a segmentation method that can separate ISAR images of aircraft flying in formation; in this method, coarse alignment proposed in [13] was improved by using a combination of a polynomial and Gaussian basis functions, and segmentation was improved using an image processing technique.…”
Section: Introductionmentioning
confidence: 99%
“…Inverse synthetic aperture radar (ISAR) has been widely used for targets imaging in both military and civilian fields due to all day and all weather imaging ability [1][2][3]. High range resolution is achieved by transmitting wideband signals, while high cross-range resolution is obtained by the coherent processing interval.…”
Section: Introductionmentioning
confidence: 99%