Focusing Bistatic SAR Data in Airborne/Stationary Configuration

Wang, Robert; Loffeld, Otmar; Neo, Yew Lam; Nies, Holger; Walterscheid, Ingo; Espeter, Thomas; Klare, Jens; Ender, Joachim

doi:10.1109/tgrs.2009.2027700

Cited by 64 publications

(42 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this section, the accelerated BP algorithm is provided for two bistatic SAR geometries: the one-stationary bistatic SAR mode and the tandem mode. In the former case (including the spaceborne/stationary and the airborne/stationary cases), only the moving platform contributes to the azimuth modulation, whereas the stationary platform introduces a range offset to the range migration trajectories of targets at the same range [14,27]. Therefore, the subaperture summation can be conducted for the moving platform.…”

Section: Bistatic Sar Casementioning

confidence: 99%

An Accelerated Backprojection Algorithm for Monostatic and Bistatic SAR Processing

et al. 2018

View full text Add to dashboard Cite

Abstract:The backprojection (BP) algorithm has been applied to every SAR mode due to its great focusing quality and adaptability. However, the BP algorithm suffers from immense computational complexity. To improve the efficiency of the conventional BP algorithm, several fast BP (FBP) algorithms, such as the fast factorization BP (FFBP) and Block_FFBP, have been developed in recent studies. In the derivation of Block_FFBP, range data are divided into blocks, and the upsampling process is performed using an interpolation kernel instead of a fast Fourier transform (FFT), which reduces the processing efficiency. To circumvent these limitations, an accelerated BP algorithm based on Block_FFBP is proposed. In this algorithm, a fixed number of pivots rather than the beam centers is applied to construct the relationship of the propagation time delay between the "new" and "old" subapertures. Partition in the range dimension is avoided, and the range data are processed as a bulk. This accelerated BP algorithm benefits from the integrated range processing scheme and is extended to bistatic SAR processing. In this sense, the proposed algorithm can be referred to simply as MoBulk_FFBP for the monostatic SAR case and BiBulk_FFBP for the bistatic SAR case. Furthermore, for monostatic and azimuth-invariant bistatic SAR cases where the platform runs along a straight trajectory, the slant range mapping can be expressed in a continuous and analytical form. Real data from the spaceborne/stationary bistatic SAR experiment with TerraSAR-X operating in the staring spotlight mode and from the airborne spotlight SAR experiment acquired in 2016 are used to validate the performances of BiBulk_FFBP and MoBulk_FFBP, respectively.

show abstract

Section: Bistatic Sar Casementioning

confidence: 99%

An Accelerated Backprojection Algorithm for Monostatic and Bistatic SAR Processing

et al. 2018

View full text Add to dashboard Cite

show abstract

“…There are many descriptions of bistatic SAR (BiSAR) systems in the literature [3] and there are three main configurations of such a system [1] [3] [4] [5]. These are as follows: moving receiver -stationary transmitter, stationary receiver -moving transmitter, moving both: receiver and transmitter.…”

Section: The System Geometrymentioning

confidence: 99%

Synthetic Aperture Radar using Emitters of Opportunity

Serafin¹,

Kawalec²,

Lesnik³

et al. 2012

International Journal of Electronics and Telecommunications

View full text Add to dashboard Cite

Abstract-The capability of a radar imaging system to stay undetected while gathering data is one of the most desired for military reconnaissance systems. This is particularly difficult to achieve for synthetic aperture radar (SAR), that have to emit electromagnetic energy all the time during the operation and to move along a strictly defined route. Therefore the idea of a passive imaging system although encountering many constraints seems to be very interesting.The possibilities of a passive synthetic aperture radar system working with different types of emitters of opportunity are described in the paper. Impact of signal characteristics on image quality and geometry issues are discussed among others. Results of computer simulations of such a system implementing different imaging algorithms as well as the results of the experiment performed with passive SAR system model are presented.

show abstract

“…The BiSARs discussed in literature are mainly azimuth-invariant configurations, for example the "Tandem" configuration where the transmitter and receiver moving one after another with the same trajectory and the "translational invariant" configuration where the transmitter and receiver moving along parallel trajectories with the same velocity. Several representative azimuth-variant configurations are the SARs with forward-looking receivers [16,17] or different experimented configurations with the moving transmitter (receiver) and fixed receiver (transmitter) [18]. Several signal processing algorithms have also been proposed for these configurations [19,20].…”

Section: Introductionmentioning

confidence: 99%

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

Wang

Shao

2013

Remote Sensing

View full text Add to dashboard Cite

High-altitude platforms (HAP) or near-space vehicle offers several advantages over current low earth orbit (LEO) satellite and airplane, because HAP is not constrained by orbital mechanics and fuel consumption. These advantages provide potential for some specific remote sensing applications that require persistent monitoring or fast-revisiting frequency. This paper investigates the azimuth-variant signal processing in HAP-borne bistatic synthetic aperture radar (BiSAR) with spaceborne or airborne transmitter for high-resolution remote sensing. The system configuration, azimuth-variant Doppler characteristics and two-dimensional echo spectrum are analyzed. Conceptual system simulation results are also provided. Since the azimuth-variant BiSAR geometry brings a challenge for developing high precision data processing algorithms, we propose an image formation algorithm using equivalent velocity and nonlinear chirp scaling (NCS) to address the azimuth-variant signal processing problem. The proposed algorithm is verified by numerical simulation results.

show abstract

Focusing Bistatic SAR Data in Airborne/Stationary Configuration

Cited by 64 publications

References 12 publications

An Accelerated Backprojection Algorithm for Monostatic and Bistatic SAR Processing

An Accelerated Backprojection Algorithm for Monostatic and Bistatic SAR Processing

Synthetic Aperture Radar using Emitters of Opportunity

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

Contact Info

Product

Resources

About