Detection and Imaging of Moving Targets With LiMIT SAR Data

Newey, Michael; Benitz, Gerald R.; Barrett, David J.; Mishra, Sandeep

doi:10.1109/tgrs.2018.2801248

Cited by 15 publications

(5 citation statements)

References 15 publications

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“…However, since we first investigated the incomplete echo moving target imaging problem in this paper, our proposed method only considers the uniform motion situation. The incomplete echo SAR imaging for more complex target moving models, or the moving target based on more complex SAR configurations will be a logical next step for our further works [20], [23]- [26].…”

Section: Discussionmentioning

confidence: 99%

SAR Imaging Method for Moving Target With Azimuth Missing Data

Jiang

Wang

Feng

et al. 2022

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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To solve the problem of the moving target SAR imaging from an incomplete echo, we proposed a novel SAR imaging method for the moving target with the azimuth missing data (MTIm-AMD). Instead of directly reconstructing the moving target image using the sparse SAR imaging method, we estimate and reconstruct the non-cooperative moving target's complete echo from the azimuth incomplete echo based on its sparsity. At first, the non-cooperative moving target's motion parameters are estimated from the incomplete echo. Then, to ensure that the complete echo can be well reconstructed using the compressed sensing method, these parameters are exploited to design a phase compensation function. Finally, using the reconstructed data, the fine-focused moving target can be obtained via the traditional SAR imaging algorithm. The simulation and experiment data results verify the effectiveness of the proposed MTIm-AMD method and demonstrate that the moving target can be fineimaging when the echo SNR is higher than −20 dB and the azimuth missing ratio (AMR) is less than 70%. This implies that the proposed MTIm-AMD method achieves satisfactory robustness to echo SNR and can handle most AMR cases.

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Section: Discussionmentioning

confidence: 99%

SAR Imaging Method for Moving Target With Azimuth Missing Data

Jiang

Wang

Feng

et al. 2022

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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“…1 to a 1D domain. Applying condition (13) to the three scheduling vectors in (9)-(11), four different projection directions are obtained…”

Section: Decimator Node Projectionmentioning

confidence: 99%

“…Examples where decimators are an essential component include finite impulse response (FIR) filters with steep transition band [3, 4], nested arrays broadband beamformers [5, 6], the baseband DSP of software‐defined radio (SDR) to enable configurable sample rates [7], the digital down converter of a fourth‐generation receiver systems [8], the digitally enhanced high‐speed analogue‐to‐digital converter for achieving higher signal‐to‐noise ratio in wireless and SDR applications [9, 10], the quadrature mirror filter for equalising wireless communications channels [11], and discrete Fourier transform (DFT) filter bank beamformers [12]. Decimators can also be found in other general areas such as radar [13–16], communications [17], speech [18, 19], and image processing [20, 21].…”

Section: Introduction and Related Workmentioning

confidence: 99%

Decimator systolic arrays design space exploration for multirate signal processing applications

Shoukry

Gebali

Agathoklis

2019

IET Circuits, Devices & Systems

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This study presents a new systolic array structure for a decimator that merges the antialiasing finite impulse response (FIR) filter with the downsampler. The development of the structure is based on a systematic methodology. Using this methodology, a dependence graph for the decimator was obtained that combined the antialiasing filter and the downsampler. Different data scheduling and projection operations were developed to obtain different proposed designs. Six systolic array design options were obtained and evaluated. The fastest design was selected for hardware implementation and compared with the other two well known decimator designs; namely, conventional design, in which the antialiasing filter is followed by a downsampling and the polyphase design, in which a commutator is followed by the polyphase antialiasing filter. Fieldprogrammable gate array implementations for the proposed and the other two designs confirm that the proposed decimator implementation outperforms in terms of area, speed, and power as the decimation factor increases regardless of the number of FIR filter coefficients.

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“…Synthetic aperture radar (SAR) is an extremely important device for the application of earth observation, especially where there is cloud or poor atmosphere conditions [1,2,3]. It is also widely used in military surveillance and civilian remote sensing [4,5,6,7].…”

Section: Introductionmentioning

confidence: 99%

Azimuth Phase Center Adaptive Adjustment upon Reception for High-Resolution Wide-Swath Imaging

Huang

et al. 2019

Sensors

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A spaceborne azimuth multichannel synthetic aperture radar (SAR) system can effectively realize high resolution wide swath (HRWS) imaging. However, the performance of this system is restricted by its two inherent defects. Firstly, non-uniform sampling is generated if the pulse repetition frequency (PRF) deviates from the optimum value. Secondly, multichannel systems are very sensitive to channel errors, which are difficult to completely eliminate. In this paper, we propose a novel receive antenna architecture with an azimuth phase center adaptive adjustment which adjusts the phase center position of each sub-aperture to improve multichannel SAR system performance. On one hand, the optimum value of the PRF can be adaptively adjusted within a certain range by adjusting receiving phase centers to obtain uniform azimuth sampling. On the other hand, false targets introduced by residual channel errors after azimuth multichannel error compensation can be further suppressed. The effectiveness of the proposed method to compensate for non-uniform sampling and suppress false targets is verified by simulation experiments.

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Detection and Imaging of Moving Targets With LiMIT SAR Data

Cited by 15 publications

References 15 publications

SAR Imaging Method for Moving Target With Azimuth Missing Data

SAR Imaging Method for Moving Target With Azimuth Missing Data

Decimator systolic arrays design space exploration for multirate signal processing applications

Azimuth Phase Center Adaptive Adjustment upon Reception for High-Resolution Wide-Swath Imaging

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