Radar Coincidence Imaging with Stochastic Frequency Modulated Array

Cheng, Yongqiang; Zhou, Xiaoli; Xu, Xianwu; Qin, Yuliang; Wang, Hongqiang

doi:10.1109/jstsp.2016.2615275

Cited by 69 publications

(55 citation statements)

References 32 publications

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“…First, for the received echo of aspect angle α, inverse Fourier transform was applied to obtain time-domain sequences. The range profile of aspect angle α was obtained according to Equation (5). Then, range gates were implemented to extract the target data from the range profile.…”

Section: Data Processing and Calibration Of Measurement Resultsmentioning

confidence: 99%

“…Therefore, obtaining RCS data in the terahertz (THz) band is of great significance for scaled measurements. In recent years, owing to the growing demand in RCS scaled measurements of large objects and producing vehicles with reduced RCS in the terahertz range, the development of THz RCS measurement systems has attracted increasing attention [5,6]. In accordance with the approach of THz wave generation and detection, various types of THz RCS measurement systems have been constructed, including THz laser-based systems, THz time-domain spectroscopy (THz-TDS)-based systems and solid-state THz systems [7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

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Improvement in SNR by Adaptive Range Gates for RCS Measurements in the THz Region

et al. 2019

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One of the major concerns in radar cross-section (RCS) measurements is the isolation of the target echo from unwanted spurious signals. Generally, the method of software range gate is applied to extract useful data. However, this method may not work to expectations, especially for targets with a large length-width ratio. This is because the effective target zone is dependent on the aspect angle. The implementation of conventional fixed range gates will introduce an uneven clutter signal that leads to a decline in signal-to-noise ratio. The influence of this uneven clutter signal becomes increasingly severe in the terahertz band, where the wavelength is short and the illumination power is weak. In this work, the concept of adaptive range gates was adopted to extract a target echo of higher accuracy. The dimension of the range gate was determined by the angle-dependent radial projection of the target. In order to evaluate the performance of the proposed method, both experimental measurements and numerical simulations were conducted. Noticeable improvements in the signal-to-noise ratio at certain angles were observed.

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Section: Data Processing and Calibration Of Measurement Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Improvement in SNR by Adaptive Range Gates for RCS Measurements in the THz Region

et al. 2019

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“…Several works to date have demonstrated RCI using a single-receiver (K = 1) configuration [1][2][3][4]. We similarly choose this case as our starting point, since many characteristics of the RCI approach can be intuitively understood and adequately described under such a configuration.…”

Section: Single Receivermentioning

confidence: 99%

“…Whereas conventional SAR systems employ a single transceiver to interrogate a target as the radar platform moves along a synthetic aperture path (monostatic acquisition), a hallmark of RCI is the simultaneous use of a collection of transmitters and/or receivers for rapid multistatic signal acquisition. To date, multiple-input single-output (MISO) [1][2][3][4] or single-input multiple-output (SIMO) [5] RCI systems have been put forth as candidates for achieving incoherent measurement patterns required in a ghost imaging scheme through a superposition of approximately time-and space-independent waveforms. In these cases, approximately uncorrelated measurement patterns can be guaranteed through stochastic modulation of the transmitted signals.…”

Section: Introductionmentioning

confidence: 99%

Phaseless Radar Coincidence Imaging with a MIMO SAR Platform

2019

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The correlation-based synthetic aperture radar imaging technique, termed radar coincidence imaging, is extended to a fully multistatic multiple-input multiple-output (MIMO) synthetic aperture radar (SAR) configuration. Within this framework, we explore two distinct processing schemes: incoherent processing of intensity data, obtained using asynchronous receivers and inspired by optical ghost imaging works, and coherent processing with synchronized array elements. Improvement in resolution and image quality is demonstrated in both cases using numerical simulations that model an airborne MIMO SAR system at microwave frequencies. Finally, we explore methods for reducing measurement times and computational loads through compressive and gradient image reconstruction using phaseless data.

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“…As a promising THz radar imaging technology, Terahertz coded-aperture imaging (TCAI), is derived from optical coded-aperture imaging [12] and radar coincidence imaging [13], it utilizes an aperture coded antenna [14] to generate a spatiotemporal independent wave distribution. By modeling the imaging system, the matrix-imaging equation can be established.…”

Section: Introductionmentioning

confidence: 99%

Fast Terahertz Coded-Aperture Imaging Based on Convolutional Neural Network

et al. 2020

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Terahertz coded-aperture imaging (TCAI) has many advantages such as forward-looking imaging, staring imaging and low cost and so forth. However, it is difficult to resolve the target under low signal-to-noise ratio (SNR) and the imaging process is time-consuming. Here, we provide an efficient solution to tackle this problem. A convolution neural network (CNN) is leveraged to develop an off-line end to end imaging network whose structure is highly parallel and free of iterations. And it can just act as a general and powerful mapping function. Once the network is well trained and adopted for TCAI signal processing, the target of interest can be recovered immediately from echo signal. Also, the method to generate training data is shown, and we find that the imaging network trained with simulation data is of good robustness against noise and model errors. The feasibility of the proposed approach is verified by simulation experiments and the results show that it has a competitive performance with the state-of-the-art algorithms.

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Radar Coincidence Imaging with Stochastic Frequency Modulated Array

Cited by 69 publications

References 32 publications

Improvement in SNR by Adaptive Range Gates for RCS Measurements in the THz Region

Improvement in SNR by Adaptive Range Gates for RCS Measurements in the THz Region

Phaseless Radar Coincidence Imaging with a MIMO SAR Platform

Fast Terahertz Coded-Aperture Imaging Based on Convolutional Neural Network

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