Path Planning for GEO-UAV Bistatic SAR Using Constrained Adaptive Multiobjective Differential Evolution

Sun, Zhichao; Wu, Junjie; Yang, Jianyu; Huang, Yulin; Li, Caipin; Li, Dongtao

doi:10.1109/tgrs.2016.2585184

Cited by 104 publications

(55 citation statements)

References 34 publications

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“…Comparatively, the shortcomings of the lightweight UAV SAR systems are the narrow swath, short flight duration, and fixed beam orientation. To some extent, these disadvantages can be overcome by a well-designed route [21,28]. Sun et al investigated the path planning for UAV SAR for the first time in [21].…”

Section: Related Workmentioning

confidence: 99%

“…To some extent, these disadvantages can be overcome by a well-designed route [21,28]. Sun et al investigated the path planning for UAV SAR for the first time in [21]. The authors of [21] aim to design a route with fine imaging performance and acceptable path cost for a bistatic SAR system.…”

Section: Related Workmentioning

confidence: 99%

“…Sun et al investigated the path planning for UAV SAR for the first time in [21]. The authors of [21] aim to design a route with fine imaging performance and acceptable path cost for a bistatic SAR system. However, only the spatial resolution of the interested targets is considered in [21], whereas the coverage performance is not accounted for.…”

Section: Related Workmentioning

confidence: 99%

“…We aim to design a curved path for the UAV in order to cover all the interested regions. A number of factors should be taken into account by the path planner [9,21,22,23,24,25,26]. First, the physical limitations of the UAV and the full coverage of the ROIs should be satisfied.…”

Section: Introductionmentioning

confidence: 99%

“…With a variety of factors to be accounted for, the sensor-oriented path planning for UAV SAR under study is a constrained multiobjective optimization problem (MOP) in essence [21]. To handle the involved objectives and constraints, an image-based route planner is proposed in this paper.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Sensor-Oriented Path Planning for Multiregion Surveillance with a Single Lightweight UAV SAR

Chen

Wang

et al. 2018

Sensors

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In the surveillance of interested regions by unmanned aerial vehicle (UAV), system performance relies greatly on the motion control strategy of the UAV and the operation characteristics of the onboard sensors. This paper investigates the 2D path planning problem for the lightweight UAV synthetic aperture radar (SAR) system in an environment of multiple regions of interest (ROIs), the sizes of which are comparable to the radar swath width. Taking into account the special requirements of the SAR system on the motion of the platform, we model path planning for UAV SAR as a constrained multiobjective optimization problem (MOP). Based on the fact that the UAV route can be designed in the map image, an image-based path planner is proposed in this paper. First, the neighboring ROIs are merged by the morphological operation. Then, the parts of routes for data collection of the ROIs can be located according to the geometric features of the ROIs and the observation geometry of UAV SAR. Lastly, the route segments for ROIs surveillance are connected by a path planning algorithm named the sampling-based sparse A* search (SSAS) algorithm. Simulation experiments in real scenarios demonstrate that the proposed sensor-oriented path planner can improve the reconnaissance performance of lightweight UAV SAR greatly compared with the conventional zigzag path planner.

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Section: Related Workmentioning

confidence: 99%