A Fourier-Based Image Formation Algorithm for Geo-Stationary GNSS-Based Bistatic Forward-Looking Synthetic Aperture Radar

Zeng, Zhangfan; Shi, Zhiming; Xing, Sainan; Pan, Yongcai

doi:10.3390/s19091965

Cited by 8 publications

(4 citation statements)

References 23 publications

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“…Compared with the unit, ASPeCT, GRASS and Yan 2015, the SCST performs best in eliminating the side peak performance, phase discrimination curve, anti-multipath performance and code tracking accuracy. This provides a prerequisite for the integration of the new generation of navigation systems with other systems, such as DOA [1]- [3], [42]- [44] and 3D imaging [45] combined with GNSS and radar.…”

Section: Discussionmentioning

confidence: 99%

Unambiguous Tracking Technique Based on Shape Code for BOC Signals

Fang

Gan

2020

IEEE Access

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The multiple peaks characteristic of binary offset carrier (BOC) autocorrelation function (ACF) makes ambiguity easy to be generated. There are some methods to eliminate ambiguity, but for higher-order BOC Signal, it will sacrifice signal energy or cannot maintain narrow correlation. This paper studies these problems. According to the idea of GRASS algorithm shape code, this paper proposes an unambiguous tracking algorithm, Sub Cross-correlation Shift Technique (SCST), which is suitable for BOC(m,n) signals.The key to this algorithm is to generate a new cross-correlation function between the BOC signal and the PRN code based on the shape code. The new cross-correlation function is linearly combined with the autocorrelation function of the BOC signal to remove sub-peak interference and achieve high-accuracy tracking. The phase discrimination function is given, and the effectiveness of the tracking algorithm is analyzed theoretically. The disadvantage of this method is that it needs multilevel storage, which will bring extra resource consumption to the receiver. For comparison, Unit Correlation, ASPeCT, GRASS, and the algorithm proposed by Yan are proposed. Experiments show that SCST can completely remove the side peak, and the phase discriminator output has only two main peaks, which successfully eliminates the false lock point. The multipath error envelope has only one and the smallest area. In terms of code tracking accuracy, for a BOC(10,5) signal with a received signal-to-noise ratio (SNR) of −28 dB, SCST is less than 45.8%, 67.5%, and 12.2% of the Unit Correlation, GRASS, and Yan proposed algorithms. BOC, tracking, PRN code, unambiguous. INDEX TERMS

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Section: Discussionmentioning

confidence: 99%

Unambiguous Tracking Technique Based on Shape Code for BOC Signals

Fang

Gan

2020

IEEE Access

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“…To mitigate blurring and defocusing effects induced by maneuvering targets on the process of ISAR imaging an original method based on modified chirp Fourier transform is suggested in [15]. A Fourier-based image formation algorithm for GNSS-based bistatic forward-looking synthetic aperture radar is presented in [16]. Returns form objects with complex motion in an ISAR imaging system are modeled as multicomponent quadratic frequency modulation (QFM) signals.…”

Section: Synthetic and Inverse Synthetic Aperture Radar Issuesmentioning

confidence: 99%

Pulsar Emissions, Signal Modeling and Passive ISAR Imaging

Lazarov

2019

Sensors

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The present work addresses pulsar Crab Nebula emissions from point of view of their modeling and applications for asteroid detection and imaging by applying inverse synthetic aperture radar (ISAR) principles. A huge value of the plasma’s effective temperature is a reason for pulsar emission coherency, a property of great practical meaning for a space objects navigation, localization and imaging. Based on measurement data obtained by Goldstone-Apple Valley and Arecibo radio telescopes, an original time frequency grid mathematical model of pulsar emissions is created. Passive ISAR scenario, a space object’s geometry and a model of pulsar signals reflected from the space object’s surface are also described and graphically illustrated. A new range compression approach for ISAR imaging is suggested and demonstrated. In order to reduce the level of additive white Gaussian noise in signals and enlarge the signal to noise ratio in the final image, coherent summation of multiple complex images is applied. To prove the correctness of the geometry, signal models and theoretical analysis, results of numerical experiments are provided.

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“…Furthermore, the airborne multichannel receiver can achieve different bistatic configurations for various applications without the constraints of a fixed orbit [6]. Most studies on GEO SA-BSAR are focused on the imaging of a stationary scene, including bistatic configuration design [7], resolution analysis [8][9][10], and imaging algorithms [11][12][13][14][15]. Various imaging modes, such as side-looking, squint-looking, and forwards-looking, were proved to be promising in recent research [8].…”

Section: Introductionmentioning

confidence: 99%

A Long-Time Coherent Integration STAP for GEO Spaceborne-Airborne Bistatic SAR

et al. 2022

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A geosynchronous spaceborne-airborne bistatic synthetic aperture radar (GEO SA-BSAR) system is an important technique to achieve long-time moving target monitoring over a wide area. However, due to special bistatic configuration of GEO SA-BSAR, two major challenges, i.e., severe range migration and space-variant Doppler parameters for moving targets, hinder the moving target indication (MTI) processing. Traditional SAR MTI methods, which do not take the challenges into consideration, will defocus the moving targets, leading to a loss of the signal-to-noise ratio (SNR). To focus moving targets and estimate motion parameters accurately, long-time coherent integration space-time adaptive processing (LTCI-STAP) is proposed for GEO SA-BSAR MTI in this paper. First, a modified adaptive spatial filtering based on the bistatic signal model is performed to suppress the clutter. Then, an LTCI filter bank is constructed to achieve range migration correction and moving target focusing, which yields the optimal output signal and filtering parameters. Finally, constant false alarm rate (CFAR) detection is carried out to determine the targets, and the space-variant Doppler parameters, solved from the filtering parameters, are used for estimating moving target positions and velocities. Simulations verify the effectiveness of our method.

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A Fourier-Based Image Formation Algorithm for Geo-Stationary GNSS-Based Bistatic Forward-Looking Synthetic Aperture Radar

Cited by 8 publications

References 23 publications

Unambiguous Tracking Technique Based on Shape Code for BOC Signals

Unambiguous Tracking Technique Based on Shape Code for BOC Signals

Pulsar Emissions, Signal Modeling and Passive ISAR Imaging

A Long-Time Coherent Integration STAP for GEO Spaceborne-Airborne Bistatic SAR

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