Optimal Signal Processing in Ground-Based Forward Scatter Micro Radars

Hu, Cheng; Sizov, V.; Antoniou, Michael; Gashinova, Marina; Cherniakov, M.

doi:10.1109/taes.2012.6324674

Cited by 36 publications

(27 citation statements)

References 18 publications

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“…The Doppler shift will be zero for a stationary target. In most of the publications on FSR, this Doppler shift can be used for target detection, moving target selection, speed determination and trajectory reconstruction [5][6][7][8][9][10][11][12][13][14][15]. The higher the target effective target speed, the higher the Doppler shift in the received signal.…”

Section: Fsr System Topology and Overviewmentioning

confidence: 99%

“…S sc_r (t) = A sc_r sin((ω o + ω sc_r )t) (10) S rx_r (t) =S dr_r (t) + S sc_r (t) = A dr_r sin((ω o + ω dr_r )t) + A sc_r sin((ω o + ω sc_r )t) (11) where A dr_r and A sc_r denote the amplitudes of the direct path signal (leakage) and object scattered signal, respectively. ω sc_r comprises two Doppler frequency components scattered due to the transmitter-object-receiver relative velocity.…”

Section: Practical Realization Of Fsr With Rotational Scanning Transmmentioning

confidence: 99%

“…Later, FSR was tested for ground target detection and classification, but still used a fixed transmitter-receiver pair [7][8][9]. Signal processing and signal modeling of FSR are explained in [10]. The FSR system has also been tested for maritime applications [10][11][12].…”

Section: Introductionmentioning

confidence: 99%

“…Signal processing and signal modeling of FSR are explained in [10]. The FSR system has also been tested for maritime applications [10][11][12]. Recently, new research in FSR is to integrate with MIMO architecture [13] and operate as a passive radar [14,15].…”

Section: Introductionmentioning

confidence: 99%

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Joint Time-Frequency Signal Processing Scheme in Forward Scattering Radar with a Rotational Transmitter

et al. 2016

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This paper explores the concept of a Forward Scattering Radar (FSR) system with a rotational transmitter for target detection and localization. Most of the research and development in FSR used a fixed dedicated transmitter; therefore, the detection of stationary and slow moving target is very difficult. By rotating the transmitter, the received signals at the receiver contain extra information carried by the Doppler due to the relative movement of the transmitter-target-receiver. Hence, rotating the transmitter enhances the detection capability especially for a stationary and slow-moving target. In addition, it increases the flexibility of the transmitter to control the signal direction, which broadens the coverage of FSR networks. In this paper, a novel signal processing for the new mode of FSR system based on the signal's joint time-frequency is proposed and discussed. Additionally, the concept of the FSR system with the rotational transmitter is analyzed experimentally for the detection and localization of a stationary target, at very low speed and a low profile target crossing the FSR baseline. The system acts as a virtual fencing of a remote sensor for area monitoring. The experimental results show that the proposed mode with the new signal processing scheme can detect a human intruder. The potential applications for this system could be used for security and border surveillance, debris detection on an airport runway, ground aerial monitoring, intruder detection, etc.

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Section: Fsr System Topology and Overviewmentioning

confidence: 99%

Section: Practical Realization Of Fsr With Rotational Scanning Transmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Joint Time-Frequency Signal Processing Scheme in Forward Scattering Radar with a Rotational Transmitter

et al. 2016

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“…In fact, the characteristic dimensions and location of the involved target with respect to the impinging wavelengths, along with the distance between the Tx-Rx antennas, determine the main features of the FS phenomenon characterizing the overall system. For these reasons, to accurately predict the received signal and allow for the design of optimal processing techniques [25], a more general and accurate EM modeling of the forward scattering phenomenon is extremely important and desirable.…”

Section: Introductionmentioning

confidence: 99%

Forward Scatter Radar for Air Surveillance: Characterizing the Target-Receiver Transition from Far-Field to Near-Field Regions

et al. 2017

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A generalized electromagnetic model is presented in order to predict the response of forward scatter radar (FSR) systems for air-target surveillance applications in both far-field and near-field conditions. The relevant scattering problem is tackled by developing the Helmholtz-Kirchhoff formula and Babinet's principle to express the scattered and the total fields in typical FSR configurations. To fix the distinctive features of this class of problems, our approach is applied here to metallic targets with canonical rectangular shapes illuminated by a plane wave, but the model can straightforwardly be used to account for more general scenarios. By exploiting suitable approximations, a simple analytical formulation is derived allowing us to efficiently describe the characteristics of the FSR response for a target transitioning with respect to the receiver from far-field to near-field regions. The effects of different target electrical sizes and detection distances on the received signal, as well as the impact of the trajectory of the moving object, are evaluated and discussed. All of the results are shown in terms of quantities normalized to the wavelength and can be generalized to different configurations once the carrier frequency of the FSR system is set. The range of validity of the proposed closed-form approach has been checked by means of numerical analyses, involving comparisons also with a customized implementation of a full-wave commercial CAD tool. The outcomes of this study can pave the way for significant extensions on the applicability of the FSR technique.

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Statistic characteristic analysis of forward scattering surface clutter in bistatic radar

Zeng

2010

Sci. China Inf. Sci.

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In this paper, based on the processing results of measured forward scattering clutter data in bistatic radar, using the Gaussian distribution model, Exponential distribution model, Power-Law distribution model, high order Auto-Regressive model and so on, the probability density distribution and power spectrum mathematical model are obtained, and the impact of clutter statistic models on target detection performance is analytically derived from statistic theory. According to the estimated clutter probability distribution, power spectrum model and generalized matching filter theory, the forward scattering clutter in bistatic radar is effectively suppressed and the target motion parameters are accurately estimated from the measured clutter data.

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Optimal Signal Processing in Ground-Based Forward Scatter Micro Radars

Cited by 36 publications

References 18 publications

Joint Time-Frequency Signal Processing Scheme in Forward Scattering Radar with a Rotational Transmitter

Joint Time-Frequency Signal Processing Scheme in Forward Scattering Radar with a Rotational Transmitter

Forward Scatter Radar for Air Surveillance: Characterizing the Target-Receiver Transition from Far-Field to Near-Field Regions

Statistic characteristic analysis of forward scattering surface clutter in bistatic radar

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