Accurate three-dimensional tracking method in bistatic forward scatter radar

Hu, Cheng; Zeng, Tao; Zhou, Chao

doi:10.1186/1687-6180-2013-66

Cited by 9 publications

(4 citation statements)

References 13 publications

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“…The signal is then bypassing a white Gaussian noise through a low-pass filter with a cut-off frequency that varies depending on the frequency being used; this generates simulated clutter which is similar to the measured clutter spectrum. The simulated cluttered received signal, 𝑆 𝑐𝑠 (𝑡) is given by (5).…”

Section: Errors Due To the Presence Of Clutters In Fsr Systemmentioning

confidence: 99%

Clutter reduction technique based on clutter model for automatic target classification in forward scatter radar

et al. 2022

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Classification becomes one of the important elements in the forward scatter radar (FSR) micro-sensors network. This classification performance is dependent on the target's profile behaviour and the network's surrounding; and one of the factors that cause the reduction of classification probability is the presence of ground clutter. As the volume of clutter increases, their masking effect becomes greater and may result in more significant errors in target classification. Hence, to reduce misclassification in the FSR sensor network, a new clutter reduction technique based on the ground clutter model is proposed. Simulated ground clutter is modeled based on the estimated signal to clutter ratio (SCR) of the received signal. The clutter effect is diminished by eliminating simulated like-clutter from the receiving signals. The result shows improvement in the classification accuracy, especially for the minimum value of the SCR and this new technique uses only one database which will shorten the processing time and reduce the overall database's size.

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Section: Errors Due To the Presence Of Clutters In Fsr Systemmentioning

confidence: 99%

Clutter reduction technique based on clutter model for automatic target classification in forward scatter radar

et al. 2022

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“…This characteristic can be utilized in FSR. Regarding the parameter estimation in FSR, Professors Cherniakov [20] and Hu [21] have studied some algorithms. However, these algorithms require the arrival azimuth or pitch angle of the forward scattering echo.…”

Section: Introductionmentioning

confidence: 99%

Parameter Estimation for Uniformly Accelerating Moving Target in the Forward Scatter Radar Network

Zheng

et al. 2022

Remote Sensing

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Passive radar based on the global navigation satellite positioning system (GNSS) has become the focus of attention in the field of radar. A parameter estimation method is proposed in the forward scatter radar (FSR) network based on GNSS to extend the application scenarios. For uniformly accelerating moving targets, only the instant times when the target crosses the individual baselines are used to retrieve the target motion parameters. The target position, velocity, and acceleration information can be obtained. Firstly, the minimum network configuration is derived theoretically. Then, the effects of crossing time error, station location error, transmitting/receiving station deployment, and target height on the accuracy are analyzed through Monte Carlo simulations. Finally, the simulation results indicate that the target position estimation error is in the order of 100 m. This paper provides the fundamental theory of aerial target positioning with a GNSS-based FSR network.

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“…FSR signal processing technology has been discussed in many literatures [15–21] since 1980s. Most of the work has been focused on signal modelling [20, 22], clutter analysis [2, 16, 23], target detection and tracking [3, 7, 24], as well as target recognition [14, 15, 17, 18]. However, few literatures are concerned about the extraction of RHS from the experimental data.…”

Section: Introductionmentioning

confidence: 99%

Radio holography signal reconstruction and shadow inverse synthetic aperture radar imaging in ground‐based forward scatter radar: theory and experimental results

Zhou

Zeng

et al. 2014

IET Radar, Sonar & Navigation

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The radio hologram signal (RHS) extraction is the pre-condition of shadow inverse synthetic aperture radar (SISAR) imaging in forward scatter radar (FSR). However, for a ground-based FSR imaging system, which usually includes an envelope detection module, it is pretty hard to obtain the complex RHS. Thus a novel method for RHS reconstruction is proposed by considering the relationship between the in-phase part and the orthogonal part. The operation of envelope detection is never combined with segmented Hilbert transform before in RHS reconstruction and detailed skills in applying the method are discussed with simulations. Then, the proposed method is verified through real experimental data processing, of which a metal board and a microbus are regarded as the targets. Furthermore, target profiles via SISAR imaging processing are achieved very well when using the reconstructed RHS.

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Accurate three-dimensional tracking method in bistatic forward scatter radar

Cited by 9 publications

References 13 publications

Clutter reduction technique based on clutter model for automatic target classification in forward scatter radar

Clutter reduction technique based on clutter model for automatic target classification in forward scatter radar

Parameter Estimation for Uniformly Accelerating Moving Target in the Forward Scatter Radar Network

Radio holography signal reconstruction and shadow inverse synthetic aperture radar imaging in ground‐based forward scatter radar: theory and experimental results

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