Forward scattering radar moving object coordinate measurement

Blyakhman, A.B.; Ryndyk, A. G.; Sidorov, S. B.

doi:10.1109/radar.2000.851915

Cited by 24 publications

(9 citation statements)

References 2 publications

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“…Even then, the use of nonlinear estimation techniques to calculate the target's trajectory mean that a good initial estimate of the target's location must be available. In the restricted case of a forward-scatter radar then the unique geometry can be exploited to derive an analytical expression for the target's location [3] but for the more general bistatic problem it is necessary to resort to elaborate global optimisation schemes [2]. The former approach is limited in its operational applications and the latter is neither robust nor computationally efficient.…”

Section: Introductionmentioning

confidence: 99%

FM radio based bistatic radar

Howland¹,

Maksimiuk²,

Reitsma³

2005

IEE Proc., Radar Sonar Navig.

548

229

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An experimental bistatic radar system is described that detects and tracks targets to ranges in excess of 150 km from the receiver, using echoes from a non-cooperative FM radio transmitter. The system concept and limitations on performance are described, followed by details of the processing used to implement the system. An adaptive filter algorithm is described that is used to efficiently remove interference and strong clutter signals from the receiver channels. A computationally efficient algorithm for target detection using Doppler-sensitive cross-correlation techniques is described. A simple constant false alarm rate algorithm for target detection is described, together with a description of a Kalman filter based target association algorithm. Representative results from the system are provided and compared to truth data derived from air traffic control data.

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Section: Introductionmentioning

confidence: 99%

FM radio based bistatic radar

Howland¹,

Maksimiuk²,

Reitsma³

2005

IEE Proc., Radar Sonar Navig.

548

229

View full text Add to dashboard Cite

show abstract

“…Till now, most existing publications dedicated to FSR studies focus on the airborne issues. In the air-based FSR system, the velocity of the air target is high [8], and the length of the baseline is far larger than the target size [9], furthermore the clutter background is relatively small [10]. Therefore, the instantaneous Doppler frequency and angle of arrival can effectively be obtained via Doppler filter and multi-beam antenna, and then based on the nonlinear relationship between target coordinate and Doppler frequency as well as angle of arrival, the approximate coordinate estimates are obtained with numerical solution [8][9][10], but the methods of air targets detection and tracking cannot be used in the groundbased FSR due to the different system behaviors and target motion characteristics.…”

Section: Introductionmentioning

confidence: 99%

Joint parameter estimation and Cramer-Rao bound analysis in ground-based forward scatter radar

Zeng

Cherniakov

et al. 2012

EURASIP J. Adv. Signal Process.

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Forward scatter radar (FSR) has potential applications such as target detection, classification, and recognition. The success of these issues depends on the accuracy of parameter estimation. Many parameter estimation methods for air-based FSR have been given, but cannot directly be applied in the ground-based ones for the different system functions. The received signal in ground-based FSR depends on the target's electrical size and trajectory, which are unknown a priori. It is impossible to construct an optimal reception with accurate reference function in practical situations. An adaptive method of parameter estimation is therefore proposed in this article, which includes the construction of reference function and the two-dimensional parameter estimation. Furthermore, the Crammer-Rao bounds of estimation accuracy are obtained via the analytical derivation, which can be in turn utilized to determine the estimation step in the algorithm. Finally, the effectiveness of the algorithm is shown using both simulated and experimental data.

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“…Early researches mainly focused on topics like air targets detection, coordinate measurement and automatic targets classification [5][6][7][8][9][10][11]. Since Chapurskiy firstly put forward the concept of shadow inverse synthetic aperture radar (SISAR), SISAR technology and application have been a new hotspot in the realm of the FSR.…”

Section: Introductionmentioning

confidence: 99%

An accurate SISAR imaging method of ground moving target in forward scatter radar

et al. 2012

Sci. China Inf. Sci.

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In order to accurately extract the profile image of the ground moving targets (GMT) in the forward scatter radar (FSR), a forward scatter signal model of GMT is built based on the Fresnel-Kirchhoff diffraction formula, the multipath propagation model and the high order phase approximation method. The classical shadow inverse synthetic aperture radar (SISAR) imaging algorithm is modified using the proposed signal model. In the modified imaging algorithm, the impacts of ground reflection, non-linear variation of target Doppler frequency and the target motion direction on imaging accuracy are discussed. Meanwhile, non-linear and time-dependent parameters are used to compensate for the motion phase of the GMT forward scatter signal, and a novel estimation method of the height difference and median line height of the target profile is put forward under the multipath interference. Finally, both the accuracy of the proposed signal model and the effectiveness of the modified imaging algorithm are validated by the simulation results. Keywords shadow inverse synthetic aperture radar, ground moving target, signal model, multipath interference, imaging algorithm Citation Hu C, Li X L, Long T, et al. An accurate SISAR imaging method of ground moving target in forward scatter radar.

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Forward scattering radar moving object coordinate measurement

Cited by 24 publications

References 2 publications

FM radio based bistatic radar

FM radio based bistatic radar

Joint parameter estimation and Cramer-Rao bound analysis in ground-based forward scatter radar

An accurate SISAR imaging method of ground moving target in forward scatter radar

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