Multistatic target tracking for non-cooperative illumination by DAB/DVB-T

Daun, Martina; Koch, Wolfgang

doi:10.1109/radar.2008.4720986

Cited by 27 publications

(14 citation statements)

References 5 publications

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“…Thus, the enumerations of the associations between measurements and modes in the likelihood function (11) are eliminated, and (11) reduces to (21) where we replace the symbol of mode variable with to emphasize that the measurement mode here is one out of the sensors.…”

Section: Generalization To a Multisensor Phd Filtermentioning

confidence: 99%

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A Multiple-Detection Probability Hypothesis Density Filter

Tang

Chen

McDonald

et al. 2015

IEEE Trans. Signal Process.

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Most conventional target tracking algorithms assume that one target can generate at most one detection per scan. However, in many practical target tracking applications, one target may generate multiple detections in one scan, because of multipath propagation, or high sensor resolution or some other reason. If the multiple detections from the same target can be effectively utilized, the performance of the multitarget tracking system can be improved. However, the challenge is that the uncertainty in the number of targets and the measurement set-to-target association will increase the complexity of tracking algorithms. To solve this problem, the random finite set (RFS) modeling and the random finite set statistics (FISST) are used in this paper. Without any extra approximation beyond those made in the standard probability hypothesis density (PHD) filter, a general multi-detection PHD (MD-PHD) update formulation is derived. It is also established in this paper that, with certain reasonable assumptions, the proposed MD-PHD recursion can function as a generalized extended target PHD or multisensor PHD filter. Furthermore, a Gaussian Mixture (GM) implementation of the proposed MD-PHD formulation, called the MD-GM-PHD filter, is presented. The proposed MD-GM-PHD filter is demonstrated on a simulated over-the-horizon radar (OTHR) scenario.Index Terms-Bayesian filtering, Gaussian mixture, multiple-detection tracking, Over-the-horizon radar (OTHR), probability hypothesis density filter, random finite sets, target tracking.

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Section: Generalization To a Multisensor Phd Filtermentioning

confidence: 99%

“…However, the complexity of the tracking algorithm increases significantly due to the additional measurement mode uncertainty [9]. In the literature, various techniques have been proposed to address the multiple-detection problem in OTHR [13]- [20] or PCL [12], [21] scenarios.…”

Section: Introductionmentioning

confidence: 99%

A Multiple-Detection Probability Hypothesis Density Filter

Tang

Chen

McDonald

et al. 2015

IEEE Trans. Signal Process.

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“…Currently, the reported methods for solving the uncertainties can be roughly classified into two kinds: 1) the neighbor or clustering relationship of measurements in space can be used to perform association [38][39][40] and 2) through defining the proper criterion function, the association can be converted into an optimization problem [41,42]. The association ambiguity in PBR has much in common with the "multipath ambiguity" concept in sky wave over-the-horizon (OTH) radar [43,44].…”

Section: E Target Tracking and Localizationmentioning

confidence: 99%

Experimental Research for CMMB-Based Passive Radar Under a Multipath Environment

Wan

Zhang

et al. 2014

IEEE Trans. Aerosp. Electron. Syst.

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China mobile multimedia broadcasting (CMMB) is a digital television standard that works in a single-frequency network (SFN)at the ultrahigh frequency band and adopts orthogonal frequency division multiplex modulation with a cyclic prefix (CP-OFDM). This paper investigates the practical feasibility of a CMMB-based passive radar (CPR) in the multipath propagation environment. First, several aspects involving system considerations induced by propagation conditions and radar signal characteristics are analyzed, including power budget, dynamic range requirement, clutter rejection metrics, and ambiguity function analysis. Then targeting the problems caused by multipath signals in the complex propagation environment and corresponding processing techniques are discussed, covering reference signal extraction and clutter rejection, as well as, tracking and localization. The highlight is clutter rejection with subcarrier-based spatial adaptive processing (SSAP), which is matched with the features of CP-OFDM. The applicability of SSAP under severe channel response spread mainly contributed by SFN is specially considered. Last, a description of the experiments and the CPR systems developed by Wuhan University is given, together with results from previous field trials for low-altitude aircraft and ship detection.

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“…The authors in [11] propose a multi-dimensional assignment approach to solve the transmitter ambiguity for bistatic range, range rate, and precise azimuth measurements. In [12], the authors propose a multi-hypothesis tracking (MHT)-based three-stage approach that includes primary tracking directly on the measurements and a two-dimensional (2-D) estimate to address the association problem that is later resolved into 3-D. Another algorithm employing the likelihood ratio test to remove "ghost" tracks is investigated in [13]. Recently, Choi et al [14,15] propose two groups of algorithms for multitarget tracking directly in the Cartesian coordinates.…”

Section: Introductionmentioning

confidence: 99%

Multitarget tracking in cluttered environment for a multistatic passive radar system under the DAB/DVB network

Shi

Park

Song

2017

EURASIP J. Adv. Signal Process.

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The target tracking using multistatic passive radar in a digital audio/video broadcast (DAB/DVB) network with illuminators of opportunity faces two main challenges: the first challenge is that one has to solve the measurement-to-illuminator association ambiguity in addition to the conventional association ambiguity between the measurements and targets, which introduces a significantly complex three-dimensional (3-D) data association problem among the target-measurement illuminator, this is because all the illuminators transmit the same carrier frequency signals and signals transmitted by different illuminators but reflected via the same target become indistinguishable; the other challenge is that only the bistatic range and range-rate measurements are available while the angle information is unavailable or of very poor quality. In this paper, the authors propose a new target tracking algorithm directly in three-dimensional (3-D) Cartesian coordinates with the capability of track management using the probability of target existence as a track quality measure. The proposed algorithm is termed sequential processing-joint integrated probabilistic data association (SP-JIPDA), which applies the modified sequential processing technique to resolve the additional association ambiguity between measurements and illuminators. The SP-JIPDA algorithm sequentially operates the JIPDA tracker to update each track for each illuminator with all the measurements in the common measurement set at each time. For reasons of fair comparison, the existing modified joint probabilistic data association (MJPDA) algorithm that addresses the 3-D data association problem via "supertargets" using gate grouping and provides tracks directly in 3-D Cartesian coordinates, is enhanced by incorporating the probability of target existence as an effective track quality measure for track management. Both algorithms deal with nonlinear observations using the extended Kalman filtering. A simulation study is performed to verify the superiority of the proposed SP-JIPDA algorithm over the MJIPDA in this multistatic passive radar system.

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Multistatic target tracking for non-cooperative illumination by DAB/DVB-T

Cited by 27 publications

References 5 publications

A Multiple-Detection Probability Hypothesis Density Filter

A Multiple-Detection Probability Hypothesis Density Filter

Experimental Research for CMMB-Based Passive Radar Under a Multipath Environment

Multitarget tracking in cluttered environment for a multistatic passive radar system under the DAB/DVB network

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