Azimuth-Variant Signal Processing in High-Altitude Platform Passive SAR with Spaceborne/Airborne Transmitter

Wang, Wen-Qin; Shao, Huaizong

doi:10.3390/rs5031292

Cited by 3 publications

(6 citation statements)

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“…Therefore, the analysis of computational load focuses on the first and second compensations. Although the chirp scaling algorithm (CSA) [8,9] cannot achieve 0.21 m resolution and 15 km swath width for spaceborne SAR, it is worth comparing CSA and these compensations from the aspect of the computational load because CSA is recognized as an efficient algorithm and has been widely applied. There are three red rectangles in every enlarged view of the selectable portion.…”

Section: Computational Loadmentioning

confidence: 99%

“…2016, 8,223 13 of 24 Figure 9. An imaging compensation algorithm based on the continuous tangent model.…”

Section: Imaging Compensation Algorithmmentioning

confidence: 99%

“…Therefore, the application of the stop-go model is limited by resolution. Imaging algorithms based on the stop-go model, such as Range-Doppler (RD) [6,7] and Chirp-Scaling (CS) [8,9], exhibit good performance only when the resolution is worse than a threshold which is about 0.3 meters for X-band. Currently, the majority of spaceborne SARs operate below this threshold.…”

Section: Introductionmentioning

confidence: 99%

“…Conventional imaging algorithms [6][7][8][9] based on the rectilinear approximation were then adapted to process compensated echoes. However, because range histories corresponding to the center and other positions of the swath are different, the compensation effect gradually declines as the swath becomes wider.…”

Section: Introductionmentioning

confidence: 99%

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An Imaging Compensation Algorithm for Spaceborne High-Resolution SAR Based on a Continuous Tangent Motion Model

Wang

Zhou

2016

Remote Sensing

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This paper develops a continuous tangent motion model by approximating the relative trajectories between spaceborne Synthetic Aperture Radar (SAR) and its targets during every transmitting period and every receiving period as tangential segments. Compared with existing motion models, including the stop-go model and the continuous rectilinear model, the continuous tangent model is much closer to the actual relative motion. Based on the new motion model, an imaging compensation algorithm is proposed that considers the space-variant property of SAR echoes more fully by introducing three space-variant factors: the time-scaling factor, the transmitting-receiving rate, and the transmitting-receiving constant. As a result, spaceborne SAR imaging with 0.21-meter resolution and wide-swath, up to 15 kmˆ15 km, is achieved. Simulation results indicate that the novel algorithm provides a superior and more consistent focusing quality across the whole swath compared with existing algorithms based on the stop-go or continuous rectilinear models.

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Section: Computational Loadmentioning

confidence: 99%

“…2016, 8,223 13 of 24 Figure 9. An imaging compensation algorithm based on the continuous tangent model.…”

Section: Imaging Compensation Algorithmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

An Imaging Compensation Algorithm for Spaceborne High-Resolution SAR Based on a Continuous Tangent Motion Model

Wang

Zhou

2016

Remote Sensing

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“…Examples from some of the main themes are provided below, but the initiative covered broader developments across the range of remote sensing operation. For instance, in this issue, Wang and Shao [2] describe the benefits of an unconventional remote sensing platform-a high altitude platform, or near-space vehicle-for acquiring and processing passive radar imagery. Novel sensor developments are presented here by, for instance, Lato et al [3], who demonstrate the use of a gigapixel laser scanner for terrestrial photogrammetry applications.…”

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confidence: 99%

Innovative Technologies for Terrestrial Remote Sensing

Aplin

Boyd

2015

Remote Sensing

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Characterizing and monitoring terrestrial, or land, surface features, such as forests, deserts, and cities, are fundamental and continuing goals of Earth Observation (EO). EO imagery and related technologies are essential for increasing our scientific understanding of environmental processes, such as carbon capture and albedo change, and to manage and safeguard environmental resources, such as tropical forests, particularly over large areas or the entire globe. This measurement or observation of some property of the land surface is central to a wide range of scientific investigations and industrial operations, involving individuals and organizations from many different backgrounds and disciplines. However, the process of observing the land provides a unifying theme for these investigations, and in practice there is much consistency in the instruments used for observation and the techniques used to map and model the environmental phenomena of interest. There is therefore great potential benefit in exchanging technological knowledge and experience among the many and diverse members of the terrestrial EO community.The Earth Observation Technology Cluster (EOTC) is a major knowledge exchange initiative, established to promote development, understanding and communication about innovative technology used in remote sensing of the land surface among the wide community of interested researchers, technology developers and end-users (Figure 1). To ensure broad relevance and widespread interest in the initiative, the EOTC covers the full range of remote sensing operation, from new platform and sensor development, through image retrieval and analysis, to environmental modelling and data applications. (For more details about the achievements of the EOTC, see [1].) Following a public consultation, certain topical and strategic themes were identified for detailed investigation: unmanned aircraft systems, terrestrial laser scanning, field-based Fourier transform infrared spectroscopy, hypertemporal image analysis, and circumpolar and cryospheric applications. This paper provides an introduction to the OPEN ACCESS

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Measurement of Baseline and Orientation between Distributed Aerospace Platforms

Wang

2013

The Scientific World Journal

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Distributed platforms play an important role in aerospace remote sensing, radar navigation, and wireless communication applications. However, besides the requirement of high accurate time and frequency synchronization for coherent signal processing, the baseline between the transmitting platform and receiving platform and the orientation of platform towards each other during data recording must be measured in real time. In this paper, we propose an improved pulsed duplex microwave ranging approach, which allows determining the spatial baseline and orientation between distributed aerospace platforms by the proposed high-precision time-interval estimation method. This approach is novel in the sense that it cancels the effect of oscillator frequency synchronization errors due to separate oscillators that are used in the platforms. Several performance specifications are also discussed. The effectiveness of the approach is verified by simulation results.

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Azimuth-Variant Signal Processing in High-Altitude Platform Passive SAR with Spaceborne/Airborne Transmitter

Cited by 3 publications

References 50 publications

An Imaging Compensation Algorithm for Spaceborne High-Resolution SAR Based on a Continuous Tangent Motion Model

An Imaging Compensation Algorithm for Spaceborne High-Resolution SAR Based on a Continuous Tangent Motion Model

Innovative Technologies for Terrestrial Remote Sensing

Measurement of Baseline and Orientation between Distributed Aerospace Platforms

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