Extending Loffeld's bistatic formula for the general bistatic SAR configuration

Wang, Robert; Loffeld, Otmar; Neo, Yew Lam; Nies, Holger; Dai, Zhijiang

doi:10.1049/iet-rsn.2009.0099

Cited by 59 publications

(60 citation statements)

References 10 publications

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“…But the TBP still cannot account the real contributions of the two platforms, and it fails to handle the BFSAR cases. The zero model of ELBF [19] tries to make the difference between the transmitting and receiving points of stationary phases (PSPs) zero. It only takes account of the contributions of zeroth-order Doppler frequencies.…”

Section: Modified Loffeld's Bistatic Formulamentioning

confidence: 99%

“…At present, several approximate BPTRS for bistatic SAR have been reported in [12][13][14][15][16][17][18][19][20][21]. Reference [12] transformed the bistatic SAR into monostatic SAR configuration by using hyperbolic approximation.…”

Section: Introductionmentioning

confidence: 99%

“…This improved method solves the case when the Doppler modulation from the two platforms is quite distinct, but it still cannot handle high squint geometry. Moreover, some other ELBF methods in [19,20] for high squint geometries of bistatic SAR were shown. As we can see, researchers have done amount of work on BPTRS for general bistatic SAR, but few researches on BPTRS for bistatic forward-looking configuration.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Bistatic Forward-Looking Synthetic Aperture Radar Imaging Based on the Modified Loffeld's Bistatic Formula

Ma¹,

Gu²,

Su³

et al. 2014

PIER M

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Abstract-Bistatic forward-looking SAR (BFSAR) has many potential applications, such as selflanding in bad weather and military detection. Therefore, BFSAR receives considerable attention recently. The imaging algorithms for BFSAR are the difficulties of the study. The original Loffeld's Bistatic Formula (LBF) can handle most general bistatic SAR configurations well. But in some complex bistatic geometries, such as high squint or forward-looking cases, the performance of LBF is degenerated. Some extended LBF (ELBF) methods have been developed, which improve the performance of LBF in some special geometries, but still not the forward-looking configuration. In this paper, we modify the LBF method and try to solve the instantaneous azimuth frequencies of transmitter and receiver directly. Then, we can obtain a bistatic point target reference spectrum (BPTRS), which is accurate enough for forward-looking configuration. A range Doppler algorithm (RDA) based on this BPTRS is derived. Finally, simulations validate the accuracy of the modified Loffeld's Bistatic Formula (MLBF) and effectiveness of imaging algorithm.

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Section: Modified Loffeld's Bistatic Formulamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Bistatic Forward-Looking Synthetic Aperture Radar Imaging Based on the Modified Loffeld's Bistatic Formula

Ma¹,

Gu²,

Su³

et al. 2014

PIER M

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“…It is necessary to develop an image formation algorithm that is usable for azimuth-variant BiSAR configurations. However, most existing BiSAR imaging algorithms are only usable to handle azimuth-invariant BiSAR configurations [36,37] and only a few azimuth-variant BiSAR algorithm can be found [19,20]. Before developing an imaging algorithm for the HAP-borne passive BiSAR system, it is necessary to analyze the two-dimensional spectrum model of the returned signal.…”

Section: Doppler Characteristicsmentioning

confidence: 99%

“…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]. The HAP-borne BiSAR described in this paper is an azimuth-variant configuration; when compared with the azimuth-invariant configurations, it has much more complex characteristics in signal models, spatial resolution, and image formation algorithm.…”

Section: Introductionmentioning

confidence: 99%

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

Wang

Shao

2013

Remote Sensing

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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.

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Introduction

2013

Bistatic SAR Data Processing Algorithms

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Extending Loffeld's bistatic formula for the general bistatic SAR configuration

Cited by 59 publications

References 10 publications

Bistatic Forward-Looking Synthetic Aperture Radar Imaging Based on the Modified Loffeld's Bistatic Formula

Bistatic Forward-Looking Synthetic Aperture Radar Imaging Based on the Modified Loffeld's Bistatic Formula

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

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