ISAR imaging of ground targets with an X-band FMCW Radar system for airport surveillance

Turin, Fabrizio; Pastina, Debora; Lombardo, P.; Corucci, Linda

doi:10.1109/irs.2014.6869307

Cited by 7 publications

(2 citation statements)

References 2 publications

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“…However, with the increasing demand for finer image resolution, the accuracy requirement of error compensation for radar imaging has also increased. Besides, the distance between radar and target for some applications are becoming smaller, for example, target detection and ranging for autonomous vehicles, harbor surveillances, and airport security checks [21][22][23]. In these situations, termed near-field ISAR imaging, the plane wave assumption may not be accurate enough for high-resolution ISAR imaging and the corresponding image quality would be degraded.…”

Section: Introductionmentioning

confidence: 99%

Time-Frequency Reversion-Based Spectrum Analysis Method and Its Applications in Radar Imaging

Xing

Sun

2021

Remote Sensing

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Spectrum analysis (SA) plays an important role in radar signal processing, especially in radar imaging algorithm design. Because it is usually hard to obtain the analytical expression of spectrum by the Fourier integral directly, principle of stationary phase (POSP)-based SA is applied to approximate this integral. However, POSP requires the phase of the signal to vary rapidly, which is not the case in circular synthetic aperture radar (SAR) and turntable inverse SAR (ISAR). To solve this problem, a new SA method based on time-frequency reversion (TFRSA) is proposed, which utilizes the relationship of the Fourier transform pairs and their corresponding signal phases. In addition, the connection between the imaging geometry and time-frequency relationship is also analyzed and utilized to help solve the time-frequency reversion. When the TFRSA is applied to the linear trajectory SAR, the obtained spectrum expression is the same as the result of POSP. When it is applied to ISAR, the spectrum expressions of near-field and far-field are derived and their difference is found to be position-independent. Based on this finding, an extended polar format algorithm (EPFA) for near-field ISAR imaging is proposed, which can solve the distortion and defocusing problems caused by traditional ISAR imaging algorithms. When it is applied to the circular SAR (CSAR), a new and efficient imaging method based on EPFA is proposed, which can solve the low efficiency problem of conventional BP-based CSAR imaging algorithms. The simulations and real data processing results are provided to validate the effectiveness of proposed method.

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Section: Introductionmentioning

confidence: 99%

Time-Frequency Reversion-Based Spectrum Analysis Method and Its Applications in Radar Imaging

Xing

Sun

2021

Remote Sensing

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“…In [4]- [5] the activities of SAPIENZA University of Rome and MetaSensing BV were jointly focused on the development of solutions for the surveillance of the airport's external area perimeter, in order to prevent threats from people or vehicle that are usually moving around the airport. In particular, the results showed that the X-band frequency modulated continuous wave (FMCW) radar sensor developed at MetaSensing could be used for detection, tracking and imaging of possible threats.…”

Section: Introductionmentioning

confidence: 99%

Security enhancement in small private airports through active and passive radar sensors

Martelli

Bongioanni

Colone

et al. 2016

2016 17th International Radar Symposium (IRS)

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In this paper we examine the potentialities of an innovative surveillance system composed by passive and active radar sensors for enhancing the security level in small airports and private runways. Specifically we report on the R&D activities carried on within the EU project SOS (Sensors system for detection and tracking Of dangerous materials in order to increase the airport Security in the indoor landside area). These activities included a number of experimental campaigns where both the single sensors and the multi-sensor system have been extensively tested. To this purpose, we employed the WiFi-based Passive Coherent Location (PCL) receiver developed at SAPIENZA University of Rome and a Ku-band frequency modulated continuous wave (FMCW) radar developed by MetaSensing. Both the considered sensors allow a radar coverage suitable for the extent of a small airport area, though providing target measurements with very different accuracies. The experimental results reported in this paper prove the effective applicability of the proposed approach for small airports surveillance

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Signal chain architectures for efficient airport surface movement radar video processing

Xia

Hou

Guo

et al. 2021

SIViP

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ISAR imaging of ground targets with an X-band FMCW Radar system for airport surveillance

Cited by 7 publications

References 2 publications

Time-Frequency Reversion-Based Spectrum Analysis Method and Its Applications in Radar Imaging

Time-Frequency Reversion-Based Spectrum Analysis Method and Its Applications in Radar Imaging

Security enhancement in small private airports through active and passive radar sensors

Signal chain architectures for efficient airport surface movement radar video processing

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