Detection of Moving Targets by Refocusing for Airborne CSSAR

Li, Yongkang; Wang, Tong

doi:10.1109/jstars.2016.2538267

Cited by 6 publications

(3 citation statements)

References 29 publications

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“…These algorithms suffer from multiple moving objects with multiple motion features (Yang et al, 2015). The conventional method airborne linear strip map SAR faces problem due to the prolonged revisit time such that there is an application of the method in surveillance and reconnaissance was blocked (Li and Wang, 2016). The estimation of the delay time using the FrFT failed to focus on detecting the multiple targets and estimating the motion parameters available in the low signal-to reverberation ratio (SRR) environment .…”

Section: Challenges In the Existing Mtd Approachesmentioning

confidence: 99%

“…It is to be noted that the target cross-track velocity leads to the migration in the linear range. On the other hand, other target motion parameters, including the along-track velocity, along-track acceleration and cross-track acceleration, yield the range curvature and Doppler frequency migration (DFM) when the synthetic surveillance and reconnaissance was blocked (Li and Wang, 2016). The estimation of the delay time using the FrFT failed to focus on detecting the multiple targets and estimating the motion parameters available in the low signal-to reverberation ratio (SRR) environment .…”

Section: Introductionmentioning

confidence: 99%

“…The demerit of the method was regarding the detection and estimation of the motion parameters available in the reverberation environment. Li and Wang (2016) modeled the detection algorithm using Autofocus and the main aim of the algorithm was regarding the detection of the targets based on the ambiguity. The merit attempts to regard the linear and constant motions of the target that means the method failed for the non-linear motions.…”

Section: Introductionmentioning

confidence: 99%

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Fuzzy-based MTD

Jaya

Krishna

2020

DTA

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Purpose Synthetic aperture radar exploits the receiving signals in the antenna for detecting the moving targets and estimates the motion parameters of the moving objects. The limitation of the existing methods is regarding the poor power density such that those received signals are essentially to be transformed to the background ratio. To overcome this issue, fractional Fourier transform (FrFT) is employed in the moving target detection (MTD) process. The paper aims to discuss this issue. Design/methodology/approach The proposed MTD method uses the fuzzy decisive approach for detecting the moving target in the search space. The received signal and the FrFT of the received signal are subjected to the calculation of correlation using the ambiguity function. Based on the correlation, the location of the target is identified in the search space and is fed to the fuzzy decisive module, which detects the target location using the fuzzy linguistic rules. Findings The simulation is performed, and the analysis is carried out based on the metrics, like detection time, missed target rate, and MSE. From the analysis, it can be shown that the proposed Fuzzy-based MTD process detected the object in 5.0237 secs with a minimum missed target rate of 0.1210 and MSE of 23377.48. Originality/value The proposed Fuzzy-MTD is the application of the fuzzy rules for locating the moving target in search space based on the peak energy of the original received signal and FrFT of the original received signal.

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Section: Challenges In the Existing Mtd Approachesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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