Space-time processing in three-dimensional forward scattering radar

Myakinkov, A.V.; Ryndyk, A. G.

doi:10.1109/icatt.2003.1239228

Cited by 14 publications

(12 citation statements)

References 2 publications

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“…However, in recent years, the number of publications has increased, indicating a rising interest in this topic. Different aspects have been discussed to further improve the FSR system performance, such as the use of multi-static [7] and complex [8] signal processing algorithms.…”

Section: Introductionmentioning

confidence: 99%

Improvement in detection with forward scattering radar

Abdullah

Rasid

Mohamed

2011

Sci. China Inf. Sci.

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Forward scattering radar (FSR) has advantages over traditional monostatic radar such as an enhanced radar cross section. Enhancement of the radar cross section can increase the detection range of the FSR system. This feature has renewed interest in FSR. The latest development of the FSR system for ground application does not consider a rough environment and there is no advanced signal processing technique for the detection procedure, which have delayed the deployment of FSR. Therefore, this paper analyzes a signal processing technique that extracts the Doppler signal scattered from a moving target under the influence of ground clutter, receiver noise and surrounding noise. The scattered Doppler signal is processed for target detection. Two methods, namely the use of the Hilbert transform and wavelet technique, are evaluated. Results show that target detection using a Hilbert transform is applicable only for certain conditions but target detection employing the wavelet technique is more robust against clutter and noise. An inclusive comparison of various wavelet threshold selection rules for different types of wavelet filters and levels of decomposition is conducted to study the effect on target detection with FSR. Two sets of field experiments were carried out to validate the proposed method, and target signals under the influence of large clutter were successfully detected using the proposed method with a confidence level exceeding 75%.

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Section: Introductionmentioning

confidence: 99%

Improvement in detection with forward scattering radar

Abdullah

Rasid

Mohamed

2011

Sci. China Inf. Sci.

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“…In order to verify the proposed accurate tracking algorithm, the parameters of FSR experiment system listed in references [3][4][5][6] are taken as the simulation parameters.…”

Section: Simulations and Analysismentioning

confidence: 99%

“…Systems using continuous quasi-harmonic probe signal have been proved to be most promising amongst various structures of BFSR [3][4][5]. In this case, measurements of echo Doppler shift f d , angle of arrival θ, and elevation angle β are usually used to obtain object parameter estimations (i.e., target position and velocity denoted as x k , y k , h, V x , V y ).…”

Section: Introductionmentioning

confidence: 99%

“…In previous research [3][4][5][6][7], Gauss-Newton method is adopted to solve the nonlinear equations. On this basis, the classical methods of target tracking using two-dimensional (2D) and three-dimensional (3D) BFSR are proposed, respectively, in [4,6].…”

Section: Introductionmentioning

confidence: 99%

“…Its target tracking technology attracted more and more attention in recent years. An existing challenge of BFSR is parameter estimation of aerial [2][3][4][5][6][7][8][9] and ground [10][11][12][13][14][15][16][17] targets. This article focuses on parameter estimation of aerial target trajectory.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Accurate three-dimensional tracking method in bistatic forward scatter radar

Zeng

Zhou

2013

EURASIP J. Adv. Signal Process.

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Accurate three-dimensional (3D) tracking in bistatic forward scatter radar (BFSR) is a challenging problem because of absent range resolution and poor measurements. In this article, an accurate 3D tracking method of BFSR is proposed. Aiming to overcome the filter divergence caused by large initial state estimation error, firstly, an accurate initial state estimation approach is presented based on analytic derivation and Levenberg-Marquardt algorithm, which has the potential to improve the accuracy of initial state estimation. Furthermore, in order to reduce the computation cost of filtering process and speed up the filtering convergence rate, the accurate initial state estimation and extended Kalman filter algorithm in BFSR are combined to achieve a precise target 3D tracking. Finally, the proposed accurate tracking method is verified through comparative analysis of the simulation results.

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Analysis of primary parameters estimation with space time processing in forward scatter radar

Zhou

Zhu

et al. 2013

IET International Radar Conference 2013

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The Doppler shift, azimuth and elevation angles estimation is the precondition of target tracking and SISAR imaging in forward scatter radar (FSR). With the utilization of a spacetime processing (STP) algorithm, the Doppler shift and azimuth angle or elevation angle can be jointly estimated. The impacts of the observation interval and multipath interference on parameters estimation accuracy are analyzed. The quasioptimal observation interval is given after considering the contradiction between the frequency resolution and dynamic error. The correctness of these analyses is verified by quantitative simulation results.

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Space-time processing in three-dimensional forward scattering radar

Cited by 14 publications

References 2 publications

Improvement in detection with forward scattering radar

Improvement in detection with forward scattering radar

Accurate three-dimensional tracking method in bistatic forward scatter radar

Analysis of primary parameters estimation with space time processing in forward scatter radar

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