Tracking in multistatic passive radar systems using DAB/DVB-T illumination

Daun, Martina; Nickel, Ulrich; Koch, Wolfgang

doi:10.1016/j.sigpro.2011.09.005

Cited by 96 publications

(45 citation statements)

References 16 publications

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“…This issue is especially important for passive radar applications because of high number of false alarms (see Section 5). Our association strategy is therefore based on the multi-hypothesis tracking (MHT) algorithm [15], which we have applied to passive radar tracking using digital radio and television illumination in [16]. Here, the association between measurements and transmitters was a major task.…”

Section: Trackingmentioning

confidence: 99%

“…By adaptive modelling of the P D [16] and p F prior information can be incorporated in the MHT. In Section 5, we discuss the incorporation of prior knowledge in the form of a clutter map.…”

Section: Trackingmentioning

confidence: 99%

“…The measurements that have been associated with the ground truth (see Section 4.2) are processed by the UKF to obtain estimates of the target position and velocity as well as the covariances ( [16]). The results are displayed in Fig.…”

Section: Performance Analysis On Real Datamentioning

confidence: 99%

See 2 more Smart Citations

GSM passive coherent location system: performance prediction and measurement evaluation

Zemmari

Broetje

Battistello

et al. 2014

IET Radar, Sonar & Navigation

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This study describes the processing scheme of the FKIE (Fraunhofer Institute for Communication, Information Processing and Ergonomics) GSM-based passive coherent location (PCL) system, which consists of an antenna and signal processing adapted to the GSM waveform and of target tracking based on multi-hypothesis tracking. To overcome the limitations from a single bistatic transmitter-receiver pair, fusion of the measurements from different geometries is the key component of a GSM PCL system. The authors demonstrate a significant improvement in target position estimation from the tracking process on the basis of real data and theoretical performance bounds. The impact of the transmitter-target-receiver geometry is discussed and the effect of the exploitation of prior context knowledge (e.g. clutter and land maps) on maritime traffic surveillance is shown.

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Section: Trackingmentioning

confidence: 99%

“…By adaptive modelling of the P D [16] and p F prior information can be incorporated in the MHT. In Section 5, we discuss the incorporation of prior knowledge in the form of a clutter map.…”

Section: Trackingmentioning

confidence: 99%

See 1 more Smart Citation

GSM passive coherent location system: performance prediction and measurement evaluation

Zemmari

Broetje

Battistello

et al. 2014

IET Radar, Sonar & Navigation

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“…In [14], Doppler measurements are used to discriminate between both measurements and Doppler orders. The additional Doppler measurements are shown to be beneficial for tracking with multiple nonangular sensors [8]. In [18], the Doppler blind zone information is exploited to improve ground target tracking.…”

Section: Introductionmentioning

confidence: 99%

Constant turn model for statically fused converted measurement Kalman filters

Zhou

Xie

et al. 2015

Signal Processing

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“…At the fusion center, these measurements are then combined to estimate the target state. For target surveillance, multi-static passive radar systems exploit illuminators of opportunity like FM radio transmitters, digital audio/video broadcasters, WiMAX systems and global system for mobilecommunication (GSM) base stations [2], [3], [4], [5]. Passive radar systems provide crucial advantages over active systems: no frequency allocation problem, receivers are hidden for a possible jamming, energy saving and much lower costs.…”

Section: Introductionmentioning

confidence: 99%

Multi-target tracking with PHD filter using Doppler-only measurements

Güldoǧan

Lindgren

Gustafsson

et al. 2014

Digital Signal Processing

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In this paper, we address the problem of multi-target detection and tracking over a network of separately located Doppler-shift measuring sensors. For this challenging problem, we propose to use the probability hypothesis density (PHD) filter and present two implementations of the PHD filter, namely the sequential Monte Carlo PHD (SMC-PHD) and the Gaussian mixture PHD (GM-PHD) filters. Performances of both filters are carefully studied and compared for the considered challenging tracking problem. Simulation results show that both PHD filter implementations, successfully tracks multiple targets using only Doppler shift measurements. Moreover, as a proof-of-concept, an experimental setup consisting of a network of microphones and a loudspeaker was prepared. Experimental study results reveal that it is possible to track multiple ground targets using acoustic Doppler shift measurements in a passive multi-static scenario. We observed that the GM-PHD is more effective, efficient and easy to implement than the SMC-PHD filter.

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Tracking in multistatic passive radar systems using DAB/DVB-T illumination

Cited by 96 publications

References 16 publications

GSM passive coherent location system: performance prediction and measurement evaluation

GSM passive coherent location system: performance prediction and measurement evaluation

Constant turn model for statically fused converted measurement Kalman filters

Multi-target tracking with PHD filter using Doppler-only measurements

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