Multistatic ISAR autofocussing using image contrast optimization

Brisken, Stefan; Mathy, Torsten; Wasserzier, Christoph; Giusti, Elisa

doi:10.1049/cp.2012.1623

Cited by 14 publications

(3 citation statements)

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“…Target motion compensation was conducted using a similar procedure to that described in Section 2.3, whereby a collection of target motion-inverted radar trajectories were hypothesised, relating to different magnitudes of 6-DoF motion, with the aim of obtaining optimally focused SAR imagery with one of these radar trajectories. During these iterative searches, image quality measures such as image contrast [10] and entropy [11] were employed and calculated of SAR images for each receiver. Extending this to a multistatic case, image contrast values relating to SAR images by each of the three receivers in the multistatic configuration were multiplied with each other for each iteration; the same was done with the entropy values to produce product compositions of individual image contrast and entropy values.…”

Section: -Dof Target Motion Compensation and Image Formationmentioning

confidence: 99%

“…Extending this to a multistatic case, image contrast values relating to SAR images by each of the three receivers in the multistatic configuration were multiplied with each other for each iteration; the same was done with the entropy values to produce product compositions of individual image contrast and entropy values. This was done to jointly consider hybrid SAR/ISAR image contributions resulting from all receivers in the multistatic radar system [10]. Indexes of maximum image contrast product and minimum entropy product values were utilised to determine which hypothetical target motion-inverted radar trajectories to use for the formation of optimally focused SAR imagery.…”

Section: -Dof Target Motion Compensation and Image Formationmentioning

confidence: 99%

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Multistatic hybrid SAR/ISAR data generation using a stationary target

Rattan¹,

Andre²,

Finnis³

2023

IET Conf. Proc.

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There is great interest in multistatic synthetic aperture radar (SAR) systems as they are capable of providing high resolution images. These systems could prove promising candidates for provision of surveillance for both military and civilian interest. Both multistatic SAR and its counterpart, multistatic inverse synthetic aperture radar (ISAR), are limited by their assumptions of observing a stationary target from a moving platform and vice-versa. Hence, without adequate target motion compensation, their resultant radar images appear defocused. Arranging experiments capable of providing repeatable multistatic hybrid SAR/ISAR data of real moving targets can be difficult and costly. One viable approach is the novel method presented in this study, whereby multistatic hybrid SAR/ISAR data can be collected of a target moving with a theoretical motion, without the requirement of an actual moving targetthe theoretical motion is brought about through the appropriate motion of antennas. The study demonstrates, both through simulation and experimentation, how radar trajectories of a given SAR system can be altered to arrive at the equivalent setup of observing a moving target. Results from simulation and from an experiment conducted at the Cranfield University Ground-Based SAR (GBSAR) laboratory are presented, showing the utility of this approach.

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Section: -Dof Target Motion Compensation and Image Formationmentioning

confidence: 99%

Section: -Dof Target Motion Compensation and Image Formationmentioning

confidence: 99%

Multistatic hybrid SAR/ISAR data generation using a stationary target

Rattan¹,

Andre²,

Finnis³

2023

IET Conf. Proc.

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“…• M-ICBA / M-IEBA: An approach that is complimentary to multilateration is the multistatic extension of the Image Contrast/Entropy Based Algorithm [21]. Although no phase coherence in the return signal is required, this algorithm manages to focus all sensors onto the same focus point.…”

Section: ) 3-d Trajectory Estimationmentioning

confidence: 99%

Multistatic ISAR - chances and challenges

Brisken

2014

2014 International Radar Conference

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This paper is concerned with recent and future developments in the field of multistatic radar imaging of moving targets. It briefly reviews traditional monostatic ISAR imaging and identifies its drawbacks. We then present ideas, some of them have meanwhile been verified in experiments, how a multistatic setup can overcome some of these problems. Clearly, a multistatic setup leads to increased complexity and new problems. We display these new problems and present approaches to solve some of them. We use mind maps to illustrate the context. Multichannel techniques like interferometric or polarimetric ISAR are out of the scope of this paper.

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