Observability and Performance Analysis of Bi/Multi-Static Doppler-Only Radar

Xiao, Yang-Can; Wei, Ping; Yuan, Ting

doi:10.1109/taes.2010.5595585

Cited by 47 publications

(28 citation statements)

References 43 publications

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“…The crucial aspect in Doppler-only tracking is the observability of the target -whether or not a unique tracking solution can be found. This observability is explored by Xiao et al [6] by investigating the rank of the Fisher information matrix, with certain conditions for observability being established. It was found that the Doppler-only observability depended on target initial position, transmitter position and target velocity.…”

Section: Observation Modelmentioning

confidence: 99%

“…Target tracking using Doppler only has not been widely implemented, due to the inherent non-linear problem of extracting target position and velocity from the measurements. It is shown [6] that with sufficient number of transmitter/receivers configured in a multi-static system, the target state can be determined from Doppler only information and therefore the problem is to obtain a tracking filter that can estimate the target state from highly non-linear Doppler. Morrison et al [7] have shown that the GaussNewton filter can effectively track highly manoeuvring targets from bearing and Doppler information.…”

Section: Introductionmentioning

confidence: 99%

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Doppler-only tracking with the recursive Gauss-Newton filter

Nadjiasngar

Middleton

Inggs

2012

IET International Conference on Radar Systems (Radar 2012)

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This paper investigates target tracking using Doppler only, observed from multiple receivers in a multi-static configuration. The tracking filter selected for this study is the recursive Gauss-Newton filter based on the LevenbergMarquardt method. FM Band Commensal Radar (radar that uses another system's EM emissions) produces a Range versus Doppler plot, where the Doppler resolution is very precise due to the long integration time, but range resolution is at best poor due to the narrow broadcast channel bandwidth. Thus, tracking that relies mostly on Doppler seems most sensible for this type of radar.

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Section: Observation Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Doppler-only tracking with the recursive Gauss-Newton filter

Nadjiasngar

Middleton

Inggs

2012

IET International Conference on Radar Systems (Radar 2012)

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“…For example, in [5] the problem of localization of a single aircraft using doppler measurements is studied. Other similar approaches can be found in [4], [6]- [8]. The analysis carried out in this paper along with the optimization method proposed can be considered as constituting a batch processing method for instantaneous estimation of the target location and velocity.…”

Section: Introductionmentioning

confidence: 99%

“…[1]- [8]. Recently, the doppler effect has gained a renewed interest and it has been implemented for cooperative positioning in vehicular networks [9].…”

Section: Introductionmentioning

confidence: 99%

Doppler Shift Target Localization

Shames

Bishop

Smith³

et al. 2013

IEEE Trans. Aerosp. Electron. Syst.

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This is an author produced version of a paper published in IEEE Transactions on Aerospace and Electronic Systems.This paper has been peer-reviewed but does not include the final publisher proofcorrections or proceedings pagination.© 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Abstract-This paper outlines the problem of doppler-based target position and velocity estimation using a sensor network. The minimum number of doppler shift measurements at distinct generic sensor positions to have a finite number of solutions, and later, a unique solution for the unknown target position and velocity is stated analytically. Furthermore, we study the same problem where not only doppler shift measurements are collected, but also other types of measurements are available, e.g. bearing or distance to the target from each of the sensors. Later, we study the Cramer-Rao inequality associated with the doppler-shift measurements to a target in a sensor network, and use the Cramer-Rao bound to illustrate some results on optimal placements of the sensors when the goal is to estimate the velocity of the target. Some simulation results are presented in the end.

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“…However, analysis of multi-static passive systems that use Doppler only measurement has not been fully investigated yet. Some of the studies in the literature mainly concentrate on the static estimation solutions, observability analysis of the target using Doppler-only measurements and optimal positioning of the passive system [11], [12], [13], [14], [15]. Moreover, recently, tracking of moving targets using a Doppler-shift measuring sensor network has gained interest from researchers and mostly considered in multi-static passive radar framework [16], [17], [18], [19].…”

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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Observability and Performance Analysis of Bi/Multi-Static Doppler-Only Radar

Cited by 47 publications

References 43 publications

Doppler-only tracking with the recursive Gauss-Newton filter

Doppler-only tracking with the recursive Gauss-Newton filter

Doppler Shift Target Localization

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

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