ISAR imaging of non-cooperative objects with non-uniform rotational motion

Vehmas, Risto; Jylhä, Juha; Väilä, Minna; Visa, Ari

doi:10.1109/radar.2016.7485131

Cited by 8 publications

(5 citation statements)

References 16 publications

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“…Moreover, if the rotational motion is not uniform, f p is not constant even during a short slow-time interval. As a solution to the MTRC problem, a technique called keystone formatting can be used [15], [62]- [64], [123]- [130]. It was initially introduced by Perry et al [62] in the context of airborne SAR imaging of moving objects.…”

Section: Range-instantaneous-doppler Image Reconstructionmentioning

confidence: 99%

“…More recently, such methods from time-frequency signal processing as the synchrosqueezing transformation [156] and time-frequency reassignment [157] have been demonstrated in ISAR applications [130], [158], [159]. These methods have the potential of even further improving the image focus and mitigating the effect of sidelobes in the image domain.…”

Section: Range-instantaneous-doppler Image Reconstructionmentioning

confidence: 99%

“…In its most simple form, it chooses a single time window (length and location) from the entire recorded slow-time signal, which is then used in the RD imaging method. More generally, the optimization can be seen as a method for optimizing the parameters of the TFR that is used in the RID image reconstruction [15], [130].…”

Section: Time Window Optimizationmentioning

confidence: 99%

“…These procedures are useful in cases where the target exhibits complex motions and the direction of the rotation changes, such as in imaging maritime targets [199]- [205]. More recently, the time window optimization procedure has been used to image ground and air targets as well [15], [130], [206].…”

Section: Time Window Optimizationmentioning

confidence: 99%

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Inverse Synthetic Aperture Radar Imaging: A Historical Perspective and State-of-the-Art Survey

Vehmas¹,

Neuberger

2021

IEEE Access

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Radar can obtain high spatial resolution at large operating distances and its operation is largely independent from weather and lighting conditions. This makes it an important instrument in an ever-increasing number of applications requiring robust and reliable sensing of the environment. Due to the advancements in semiconductor technology and digital computation power, radar can obtain increasingly better position estimation accuracy, detection sensitivity, and target resolution. High-resolution imaging is an example of a rapidly advancing field of radar technology. Inverse synthetic aperture radar (ISAR) is an imaging technique that uses the motion of a target to obtain a high-resolution radar image of it. This paper presents a comprehensive review of past work and the state-of-the-art in ISAR imaging systems, algorithms, and applications. Starting from the early historical developments of simple monostatic range-Doppler imaging, we present the developments up to the current advanced spatially distributed imaging modalities and reconstruction algorithms. The list of references includes the most influential ISAR publications in the open literature up to early 2021.

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Section: Range-instantaneous-doppler Image Reconstructionmentioning

confidence: 99%

Section: Range-instantaneous-doppler Image Reconstructionmentioning

confidence: 99%

Section: Time Window Optimizationmentioning

confidence: 99%

Section: Time Window Optimizationmentioning

confidence: 99%

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Inverse Synthetic Aperture Radar Imaging: A Historical Perspective and State-of-the-Art Survey

Vehmas¹,

Neuberger

2021

IEEE Access

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“…However, despite the high potential of this method, it is still not very popular in the radar community. Namely, in the literature one can find results for the energy concentration in micro-Doppler signature analysis [40][41][42], characterization of frequency shift keying (FSK) signals [43], improving the quality of inverse synthetic aperture radar (ISAR) imaging [44] as well as in direction of arrival estimation [45] and Doppler radar tomography imaging [46]. The novelty presented in this paper is to apply the TF reassignment method and combine it with the Hough transform that aims to extract the Doppler rate of the target with the improved accuracy comparing the classical method existing in the literature.…”

Section: Target Doppler Rate Estimationmentioning

confidence: 99%

The Use of the Reassignment Technique in the Time-Frequency Analysis Applied in VHF-Based Passive Forward Scattering Radar

Płotka

Abratkiewicz

Malanowski

et al. 2020

Sensors

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This paper presents the application of the time-frequency (TF) reassignment technique in passive forward scattering radar (FSR) using Digital Video Broadcasting – Terrestrial (DVB-T) transmitters of opportunity operating in the Very High Frequency (VHF) band. The validation of the proposed technique was done using real-life signals collected by the passive radar demonstrator during a measurement campaign. The scenario was chosen to test detection ranges and the capability of estimating the kinematic parameters of a cooperative airborne target in passive FSR geometry. Additionally, in the experiment the possibility of utilizing FSR geometry in foliage penetration conditions taking advantage of the VHF band of a DVB-T illuminator of opportunity was tested. The results presented in this paper show that the concentrated (reassigned) energy distribution of the signal in the TF domain allows a more precise target Doppler rate to be estimated using the Hough transform.

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