Moving Target Detection in Multi-Static GNSS-Based Passive Radar Based on Multi-Bernoulli Filter

Zeng, Hongbin; Chen, Jie; Wang, Pengbo; Liu, Wei; Zhou, Xinkai; Yang, Wei

doi:10.3390/rs12213495

Cited by 9 publications

(9 citation statements)

References 46 publications

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“…Unfortunately, the studies on target detection based on GNSS-based passive radar, including Beidou GEO-based radar, encounter a serious challenge of weak echo [6,7]. The main reason for the weak echo is the restricted transmitted power of GNSS constellations.…”

Section: Introductionmentioning

confidence: 99%

SNR Improvement for Maneuvering Ship Using Weak Echo Under the Condition of Beidou GEO Satellites

Yan

Gong

2022

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

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Using global navigation satellite systems (GNSS) as transmitters of opportunity for target detection is a hot issue. The problems of this technology are the restricted power budget provided by navigation satellites and the defocusing caused by the movement of target. To refocus the echo and improve the signalto-noise ratio (SNR) under the condition of Beidou Geostationary (GEO) satellites, this paper uses jointly the short-time coherent integration and the long-time integration based on Fractional Fourier transform (FrFT) to correct the range migration (RM) and the Doppler frequency migration (DFM) of signals for refocusing the signal energy. The effectiveness of the proposed algorithm for refocusing the echo from different types of maneuvering ships (a cargo ship and a ferry) is confirmed via an experimental campaign.

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Section: Introductionmentioning

confidence: 99%

SNR Improvement for Maneuvering Ship Using Weak Echo Under the Condition of Beidou GEO Satellites

Yan

Gong

2022

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

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“…A multisite radar system (MSRS) is a comprehensive system wherein signals from all separated stations are fused and jointly processed [1]. In an MSRS, information is extracted from several spatially separated regions of scattered (or radiated by signal sources) fields, which allows improved target detection [2][3][4], target localization [5][6][7], and interference proofing [8][9][10]. The MSRS with widely separated stations captures diversity gain and geometry gain because of observations from different angles.…”

Section: Introductionmentioning

confidence: 99%

Moving Multitarget Detection Using a Multisite Radar System with Widely Separated Stations

Zhang

Zhou

Sha³

et al. 2022

Remote Sensing

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This study investigates the detection problem of multiple moving targets using a multisite radar system with widely separated stations. Spatial mapping is presented to integrate the observation data of a moving target from different angles into a spatial resolution cell (SRC). However, data association errors occur in some SRCs in this way, which causes extra false alarm, called the “ghost target”. Therefore, an interference discriminator-based detector is developed. In this way, the background interference is discriminated between “ghost target” and pure noise, and then the final decision is made based on the generalized likelihood ratio test. Statistical analyses are provided to discuss the achievable performance. Simulation results show that the proposed algorithm can accurately detect multiple moving targets while suppressing the “ghost target”.

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“…Passive bistatic radar (PBR) has attracted the attention of many researchers in the recent years, due to its low cost, convert operation, and no need for frequency allocations [1][2][3][4][5][6]. Various kinds of illuminators of opportunity are exploited as transmitters of the passive bistatic radar for target detection, such as FM radio [7][8][9], Digital Video Broadcasting-Terrestrial [10,11], WIFI [12,13], and GSM [14].…”

Section: Introductionmentioning

confidence: 99%

Clutter Cancellation and Long Time Integration for GNSS-Based Passive Bistatic Radar

Wang

Cha

Zhou³

et al. 2021

Remote Sensing

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Clutter cancellation and long time integration are two vital steps for global navigation satellite system (GNSS)-based bistatic radar target detection. The former eliminates the influence of direct and multipath signals on the target detection performance, and the latter improves the radar detection range. In this paper, the extensive cancellation algorithm (ECA), which projects the surveillance channel signal in the subspace orthogonal to the clutter subspace, is first applied in GNSS-based bistatic radar. As a result, the clutter has been removed from the surveillance channel effectively. For long time integration, a modified version of the Fourier transform (FT), called long-time integration Fourier transform (LIFT), is proposed to obtain a high coherent processing gain. Relative acceleration (RA) is defined to describe the Doppler variation results from the motion of the target and long integration time. With the estimated RA, the Doppler frequency shift compensation is carried out in the LIFT. This method achieves a better and robust detection performance when comparing with the traditional coherent integration method. The simulation results demonstrate the effectiveness and advantages of the proposed processing method.

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Moving Target Detection in Multi-Static GNSS-Based Passive Radar Based on Multi-Bernoulli Filter

Cited by 9 publications

References 46 publications

SNR Improvement for Maneuvering Ship Using Weak Echo Under the Condition of Beidou GEO Satellites

SNR Improvement for Maneuvering Ship Using Weak Echo Under the Condition of Beidou GEO Satellites

Moving Multitarget Detection Using a Multisite Radar System with Widely Separated Stations

Clutter Cancellation and Long Time Integration for GNSS-Based Passive Bistatic Radar

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