scholarly journals Distributed Compressed Sensing Based Ground Moving Target Indication for Dual-Channel SAR System

Sensors ◽  
2018 ◽  
Vol 18 (7) ◽  
pp. 2377
Author(s):  
Jing Liu ◽  
Xiaoqing Tian ◽  
Jiayuan Jiang ◽  
Kaiyu Huang
Keyword(s):  
Compressed Sensing ◽  
Moving Target ◽  
Moving Targets ◽  
Common Component ◽  
Distributed Compressed Sensing ◽  
Variational Bayesian ◽  
Dual Channel ◽  
Bayesian Approximation ◽  
Multiple Moving Targets ◽  
Ground Moving Target Indication

The dual-channel synthetic aperture radar (SAR) system is widely applied in the field of ground moving-target indication (GMTI). With the increase of the imaging resolution, the resulting substantial raw data samples increase the transmission and storage burden. We tackle the problem by adopting the joint sparsity model 1 (JSM-1) in distributed compressed sensing (DCS) to exploit the correlation between the two channels of the dual-channel SAR system. We propose a novel algorithm, namely the hierarchical variational Bayesian based distributed compressed sensing (HVB-DCS) algorithm for the JSM-1 model, which decouples the common component from the innovation components by applying variational Bayesian approximation. Using the proposed HVB-DCS algorithm in the dual-channel SAR based GMTI (SAR-GMTI) system, we can jointly reconstruct the dual-channel signals, and simultaneously detect the moving targets and stationary clutter, which enables sampling at a further lower rate in azimuth as well as improves the reconstruction accuracy. The simulation and experimental results show that the proposed HVB-DCS algorithm is capable of detecting multiple moving targets while suppressing the clutter at a much lower data rate in azimuth compared with the compressed sensing (CS) and range-Doppler (RD) algorithms.

APPROACH OF MULTIPLE MOVING TARGETS DETECTION FOR MICROWAVE SURVEILLANCE SENSORS

2007 ◽  
Vol 04 (01) ◽  
pp. 57-68 ◽  
Author(s):  
WENQIN WANG
Keyword(s):  
Information Acquisition ◽  
Fractional Fourier Transform ◽  
Target Velocity ◽  
Fourier Domain ◽  
Moving Target ◽  
Moving Targets ◽  
True Position ◽  
Simulation Results ◽  
Multiple Moving Targets ◽  
Magnitude Improvement

Multiple moving targets detection is one of the fundamental problems in information acquisition. In this paper, the use of a transformable period and symmetrical linear frequency modulated (TPS-LFM) waveform for microwave surveillance sensor multiple moving targets identification, is proposed. In order to accurately estimate target's true position and velocity, a relatively unknown yet powerful technique, the so-called fractional Fourier transform (FrFT), is applied to estimate the moving target parameters. By mapping a target's signal onto a fractional Fourier axis, the FrFT permits a constant-velocity target to be focused in the fractional Fourier domain thereby affording orders of magnitude improvement in signal-clutter-ratio. Moving target velocity and position parameters are derived and expressed in terms of an optimum fractional angle and a measured fractional Fourier position, allowing a target to be accurately located. Moreover, to resolve the problem whereby weak targets are covered by the sidelobes of strong ones, the CLEAN technique is also applied. Simulation results show that the method is effective in estimating target velocity and position parameters for microwave surveillance sensors.

scholarly journals An Interrupted Sampling Scattered Wave Deception Jamming Method against Three-Channel SAR GMTI

2020 ◽  
Vol 2020 ◽  
pp. 1-13
Author(s):  
Xin Chang ◽  
Chunxi Dong ◽  
Gao Weichen ◽  
Yan Zhao
Keyword(s):  
Doppler Frequency ◽  
Scattered Wave ◽  
Initial Position ◽  
Synthetic Aperture ◽  
Moving Target ◽  
Moving Targets ◽  
Simulation Experiments ◽  
History Of ◽  
Recurrence Intervals ◽  
Ground Moving Target Indication

An important problem is how to generate false moving targets, whose relocated azimuth position is similar to that of real moving targets. To solve this problem, an interrupted sampling scattered wave deception jamming method against three-channel synthetic aperture radar ground moving target indication (SAR GMTI) is proposed. A stationary jammer uses a controllable jammer antenna to generate verisimilar moving targets by controlling velocity and initial position of jammer beam footprint. The antenna sampled moves along the different tracks. For each track, the slant history of jamming signal is changed varying with different pulse recurrence intervals (PRI), and the movement of the footprint will introduce a Doppler frequency in jamming the signal. By analyzing parameters’ difference between echoes and jamming signal, the velocity and the initial position of the footprint will be calculated, and then the verisimilar false targets are generated. The effectiveness of the method is verified by simulation experiments.

scholarly journals Ground Moving Target Tracking and Refocusing Using Shadow in Video-SAR

2020 ◽  
Vol 12 (18) ◽  
pp. 3083 ◽  
Author(s):  
Xiaqing Yang ◽  
Jun Shi ◽  
Yuanyuan Zhou ◽  
Chen Wang ◽  
Yao Hu ◽  
...  
Keyword(s):  
Target Tracking ◽  
Bp Algorithm ◽  
Synthetic Aperture ◽  
Moving Target ◽  
Back Projection ◽  
Moving Targets ◽  
New Approach ◽  
Moving Target Tracking ◽  
Accuracy Requirement ◽  
Multiple Moving Targets

Stable and efficient ground moving target tracking and refocusing is a hard task in synthetic aperture radar (SAR) data processing. Since shadows in video-SAR indicate the actual positions of moving targets at different moments without any displacement, shadow-based methods provide a new approach for ground moving target processing. This paper constructs a novel framework to refocus ground moving targets by using shadows in video-SAR. To this end, an automatic-registered SAR video is first obtained using the video-SAR back-projection (v-BP) algorithm. The shadows of multiple moving targets are then tracked using a learning-based tracker, and the moving targets are ultimately refocused via a proposed moving target back-projection (m-BP) algorithm. With this framework, we can perform detecting, tracking, imaging for multiple moving targets integratedly, which significantly improves the ability of moving-target surveillance for SAR systems. Furthermore, a detailed explanation of the shadow of a moving target is presented herein. We find that the shadow of ground moving targets is affected by a target’s size, radar pitch angle, carrier frequency, synthetic aperture time, etc. With an elaborate system design, we can obtain a clear shadow of moving targets even in X or C band. By numerical experiments, we find that a deep network, such as SiamFc, can easily track shadows and precisely estimate the trajectories that meet the accuracy requirement of the trajectories for m-BP.

scholarly journals A Simultaneous Imaging Scheme of Stationary Clutter and Moving Targets for Maritime Scenarios with the First Chinese Dual-Channel Spaceborne SAR Sensor

2019 ◽  
Vol 11 (19) ◽  
pp. 2275 ◽  
Author(s):  
Junying Yang ◽  
Xiaolan Qiu ◽  
Lihua Zhong ◽  
Mingyang Shang ◽  
Chibiao Ding
Keyword(s):  
Synthetic Aperture ◽  
Automatic Identification ◽  
Moving Target ◽  
Moving Targets ◽  
Research Topics ◽  
Simultaneous Imaging ◽  
Dual Channel ◽  
Imaging Results ◽  
Reconstruction Filter ◽  
Wide Swath

The technique of azimuth multichannel synthetic aperture radar (SAR) system has become a potential solution to the irreconcilable conflict between high-resolution and wide-swath (HRWS) confronted with in a traditional SAR system. Unambiguous imaging, especially for a scene with moving targets, is one of the crucial research topics in the HRWS SAR system. This paper proposes a simultaneous imaging scheme of moving targets and stationary clutter for maritime scenarios. First, the moving target echoes are extracted from the stationary clutter. After that, two methods working in completely different principles are used to estimate the radial velocity of each moving target, and the estimated result is used for phase compensation. After that, the moving target echoes are added back to the stationary scene echo and sent to the reconstruction filter. Lastly, the reconstructed echo can be processed by the classical Chirp Scaling (CS) algorithm. Experiments are carried out using the Chinese GaoFen-3 dual-channel data. The estimated velocities of the moving targets are verified by automatic identification service (AIS) information, and the imaging results show that the false targets are effectively suppressed and the moving targets also return to their correct positions along the azimuth.

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