BeiDou-Based Passive Radar Vessel Target Detection: Method and Experiment via Long-Time Optimized Integration

Huang, Chuan; Li, Zhongyu; Lou, Mingyue; Qiu, Xingye; An, Hongyang; Wu, Junjie; Yang, Jianyu; Huang, Wei

doi:10.3390/rs13193933

Cited by 9 publications

(9 citation statements)

References 26 publications

(42 reference statements)

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“…x aux = x cos(θ sat ) + z sin(θ sat ) = ey aux + d y aux = y z aux = −x sin(θ sat ) + z cos(θ sat ) = f y aux + g (11) with e = cos(θ sat )/tan(φ ), d = altsin(θ sat ), f = −sin(θ sat )/tan(φ ), and g = altcos(θ sat ). By substituting equations (11) in (9), and after several organisation operations, the second order equation shown in (12) is obtained.…”

Section: Target Localizationmentioning

confidence: 99%

“…Solving (12) and substituting in (10), two possible target locations are obtained, after the first z-axis rotation. The ambiguous solution can be solved considering the target arrival angle φ .…”

Section: Target Localizationmentioning

confidence: 99%

“…GNSS satellites are promising illumination sources for PRs because of the global coverage they provide, and the simultaneous availability of multiple transmitters anywhere in the world. GNSS constellations have been exploited for maritime target detection and imaging [9][10][11][12] and for aerial targets detection [13,14]. A GPS based PR for ground target detection was presented in [15].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Improved 2D Ground Target Tracking in GPS-Based Passive Radar Scenarios

Gómez-del-Hoyo

del-Rey-Maestre

Jarabo-Amores

et al. 2022

Sensors

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Global Positioning System (GPS) satellites offer promising opportunity for Passive Radar systems due to their global coverage and the availability of multiple satellites throughout the world. However, their low power at ground level limits system coverage. In this paper, a GPS based Passive Radar which exploits a single illumination source, and uses digital array processing for ground targets localization is presented. To face signal power problems, a processing scheme combining reconstructed reference signals, adaptive filtering techniques and spatial filtering is implemented. Conventional beamforming techniques are used to increase the level of the target echo before the detection stage, and high resolution DoA estimation techniques are applied to estimate targets azimuth. Ground target localization in local Cartesian space is performed taking into account the system geometry, range and azimuth information. Both synthetic and real radar data are used to analyse system operation. During the measurement campaign, a cooperative vehicle was used for validation purposes. Results confirm that ground targets detection and localization are feasible using a single GPS transmitter.

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Section: Target Localizationmentioning

confidence: 99%

Section: Target Localizationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Improved 2D Ground Target Tracking in GPS-Based Passive Radar Scenarios

Gómez-del-Hoyo

del-Rey-Maestre

Jarabo-Amores

et al. 2022

Sensors

View full text Add to dashboard Cite

show abstract

“…The general trend to overcome such limitation is extending the integration time and over the last years a few techniques have been conceived and developed for such a goal [7][8][9][10][11][12][13][14][15]. All these methods implement some kind of target motion compensation to correctly accumulate the received power over the long dwell considered (typically in the order of few tens of seconds).…”

Section: Introductionmentioning

confidence: 99%

Maritime moving target detection and localisation technique for Global Navigation Satellite Signals‐based passive multistatic radar

Nasso,

Santi

2023

IET Radar Sonar & Navi

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This article puts forward a ship target detection and localisation technique for GNSS‐based passive multistatic radar. The approach capitalises on the large spatial diversity offered by navigation satellite constellations to provide maritime awareness using short integration time windows, thus bypassing the shortcomings suffered by approaches relying on long dwells typically considered in satellite‐based passive radar systems. The proposed approach entirely operates on the Cartesian plane and it is able to provide in a single stage the detection and localisation of the target in the surveyed area. Theoretical and simulated performance analysis are provided to illustrate as the proposed approach can outperform conventional two‐stages (i.e. bistatic detection then localisation) procedures, with particular regard to the case of significant radar cross section scintillation, likely experienced in the system under consideration. The effectiveness of the approach has been verified via experimental data acquired in a few scenarios of interest comprising opportunistic targets belonging to different types.

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“…These satellites are hard to destroy, providing stable and persistent signal sources. More importantly, given the positioning intent of GNSS, a scene of interest is simultaneously illuminated by 4-8 satellites in a single GNSS constellation [16]. Since the GNSS constellation operates in code or frequency division approach, signals transmitted from different satellites in view can be collected and separated by a same receiver.…”

Section: Introductionmentioning

confidence: 99%

Optimal GNSS-Based Passive SAR Large Field-of-View Imaging via Multistatic Configuration: Method and Experimental Validation

Huang

et al. 2022

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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In terms of the global coverage provided by global navigation satellite system (GNSS) signals, radar images of a large field-of-view can be obtained via passive synthetic aperture radar (SAR) using these signals of opportunity. Usually, large field-ofview imaging is challenging using conventional SAR methods owing to the space-variant resolution. In addition, only a moderate range resolution can be provided by the GNSS transmitters in the passive SAR system. In this paper, an optimal imaging method for a large field-of-view using GNSS-based passive SAR is proposed, which exploits the inherent multistatic nature of GNSS. At first, the spatial resolution of each scatterer in the observation area relative to each GNSS transmitter is calculated according to the geometry. Then, the selection of the transmitter set is modeled as an optimization problem, where the minimal resolution cell is used as the optimal criterion. After that, an evolutionary algorithm is applied to solve the optimization problem. Finally, the space-time combination of the echoes over a long dwell time concerning selected GNSS transmitters is performed to form the radar image with a minimal spatial resolution. The proposed method is extensively validated using two experimental datasets, where the passive radar consists of BeiDou satellites and a fixed receiver. The spatial resolution improvement and the large field-of-view imaging capability of the proposed method are forcefully demonstrated according to the experimental results.

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BeiDou-Based Passive Radar Vessel Target Detection: Method and Experiment via Long-Time Optimized Integration

Cited by 9 publications

References 26 publications

Improved 2D Ground Target Tracking in GPS-Based Passive Radar Scenarios

Improved 2D Ground Target Tracking in GPS-Based Passive Radar Scenarios

Maritime moving target detection and localisation technique for Global Navigation Satellite Signals‐based passive multistatic radar

Optimal GNSS-Based Passive SAR Large Field-of-View Imaging via Multistatic Configuration: Method and Experimental Validation

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