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共 522 条记录，以下是221-230 订阅

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Monopulse SAR angle measurement based on total variation and monotonic iterative algorithm

Monopulse SAR angle measurement based on total variation and...

引用

IET International Radar Conference 2018, IRC 2018

作者： Hu, Bingtao Li, Feng Beijing Key Laboratory of Embedded Real-time information Processing Technology Beijing100081 China Radar Research Laboratory School of Information and Electronics Beijing Institute of Technology Beijing100081 China

Synthetic aperture radar (SAR) monopulse angle measurement is an adequate method of target angle measurement in low signal-to-clutter and noise ratio. However, there is a contradiction between the instantaneous angle measurement and the SAR coherent accumulation. In this study, the authors use the total variation method to solve the above problem, and propose the monotone iterative method to enhance the efficiency of the total variation method, which is verified in the simulation. © 2019 Institution of Engineering and technology. All rights reserved.

关键词： Angle measurement

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A Method for Fast Remote Sensing Images Classification

A Method for Fast Remote Sensing Images Classification

引用

2019 IEEE International Conference on Signal, information and Data processing, ICSIDP 2019

作者： Li, Fengjiao Jing, Donglin Bi, Fukun Shi, Hao Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing Institute of Technology Beijing China School of Information Science and Technology Beijing China Beijing Institute of Technology Chongqing Innovation Center Chongqing401120 China

ISBN: (纸本)9781728123455

Due to the characteristic of high score remote sensing images, such as large file, chaotic content and complex information, the demand for image classification speed and accuracy is increasing. In this paper, we combine the convolutional neural network and octave convolution to extract the complex high-order statistical properties of the image. We first analyze the more classical convolutional neural network, and use the octave convolution to make full use of the fine details of the changes of the high-frequency information of the remote sensing image. The memory and computing resources consumed are greatly reduced, and network optimization is performed. The test proves that the result is effective for speed and accuracy improvements. © 2019 IEEE.

关键词： Convolution

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THE DISTRIBUTED SAR IMAGING METHOD FOR CYLINDER TARGET

THE DISTRIBUTED SAR IMAGING METHOD FOR CYLINDER TARGET

引用

IEEE International Geoscience and Remote Sensing Symposium

作者： Fan Yujie Chen Xinliang Wei Yangkai Ding Zegang Wang Yan Wen Yuhan Tian Weiming Beijing Key Laboratory of Embedded Real-time Information Processing Technology

Traditional SAR imaging methods are based on point target scattering model, hence are not capable of recovering the shapes of distributed targets such as cylinders. The cylinder target is usually shown as two endpoints in the traditional single-angle SAR images. However, the distributed SAR can provide multi-angle observation information of the cylinder target. To improve the SAR image quality, we propose a distributed SAR imaging method for the cylinder target with a sparse distributed SAR configuration. The proposed method reconstructs the cylinder target by estimating the parameters from the SAR image, and then identity the cylinder target from the distributed SAR echo. When positive decision is made, the shape of the cylinder target can be recovered with these parameters. Numerical simulations have been conducted to demonstrate the effectiveness of the proposed method.

关键词： Radar imaging Radar polarimetry Synthetic aperture radar Radar tracking Scattering Image reconstruction

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Hybrid optimisation method of improved genetic algorithm and IFT for linear thinned array

Hybrid optimisation method of improved genetic algorithm and...

引用

IET International Radar Conference 2018, IRC 2018

作者： Wang, Zheng Sun, Yuze Yang, Xiaopeng Li, Shuai Beijing Key Laboratory of Embedded Real-time Information Processing Technology School of Information and Electronics Beijing Institute of Technology Beijing China Department of Electronic Engineering Tsinghua University Beijing China

The array thinning technique can greatly reduce the number of the array elements while keeping the performance of the array almost the same. However, the existing algorithms have slow convergence rates and are easy to fall into local optimum. To improve the optimisation performance, a hybrid method based on improved genetic algorithm (GA) and iterative Fourier transform (IFT) technique for linear thinned array is proposed in this study. The population is divided into improved GA group and IFT group according to the convergence of the population and different operations can be done paralleled to generate offspring in each iteration. In the improved GA processing, adaptive crossover rate and mutation rate are used. The mechanism that keeps the fill factor stable is removed for larger search range. The IFT processing is executed paralleled for fast convergence velocity. The proposed hybrid method can obtain the fast convergence velocity and avoid being trapped into the local optimum by the combination of the two approaches. Several examples are simulated to validate the performance of the proposed method. © 2019 Institution of Engineering and technology. All rights reserved.

关键词： Genetic algorithms

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Efficiency balanced matrix transpose method for sliding spotlight SAR imaging processing

Efficiency balanced matrix transpose method for sliding spot...

引用

IET International Radar Conference 2018, IRC 2018

作者： Sun, Tianyuan Xie, Yizhuang Li, Bingyi Radar Research Lab School of Information and Electronics Beijing Institute of Technology Beijing100081 China Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing100081 China

Matrix transposition is a very critical operation in synthetic aperture radar (SAR) imaging systems. This study presents an improved corner turning memory solution for real-time SAR imaging processing. Based on the sub-matrix three-dimensional mapping method, the efficiency of matrix transposing is greatly increased. However, in sliding spotlight mode, a novel SAR imaging mode, the amount of raw data is increased too large to directly use the above method. In this study, a joint address mapping strategy for two pieces of double data rate 3 synchronous dynamic random-access memory is used to meet the needs of the amount of data and make up for the lack of original method. The experimental results show that this method can get an improved and balanced two-dimensional access efficiency for sliding spotlight mode SAR imaging processing. © 2019 Institution of Engineering and technology. All rights reserved.

关键词： Mapping

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Generation scheme of chirp scaling phase functions based on floating-point CORDIC processor

Generation scheme of chirp scaling phase functions based on ...

引用

IET International Radar Conference 2018, IRC 2018

作者： Fang, Linlin Xie, Yizhuang Li, Bingyi Chen, He Radar Research Lab School of Information and Electronics Beijing Institute of Technology Beijing100081 China Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing100081 China

This study presents a chirp scaling (CS) phase function generation scheme based on CORDIC algorithm, it adopts single precision floating-point CORDIC processor to implement a variety of non-linear operations which are involved in CS synthetic aperture radar (SAR) imaging algorithm. We extend the range of convergence of CORDIC algorithm and reduce the data width in rotation unit module by adopting a hardware resource reduction scheme. We also adopt a unified CORDIC processor to achieve square root, multiplication, and division operation, which can substitute multiple single-function processors and simplify the complicate arithmetic in CS algorithm. As a proof of concept, we verify the performance of the proposed design scheme on Xilinx XC7VX690T FPGA platform, it is also applied to 16384 × 16384 points target SAR imaging system, the FPGA resource occupancy of the CS phase function generation module demonstrates that the usage of CORDIC processor can effectively save the consumption of hardware resources, and the maximum operating frequency is acceptable. The accuracy of phase functions can satisfy the engineering requirements. © 2019 Institution of Engineering and technology. All rights reserved.

关键词： Field programmable gate arrays (FPGA)

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An improved inverse synthetic aperture radar range alignment method based on maximum contrast

An improved inverse synthetic aperture radar range alignment...

引用

IET International Radar Conference 2018, IRC 2018

作者： Li, Yong Zhang, Tianyi Ding, Zegang Gao, Wenbin Chen, Jing Radar Research Lab School of Information and Electronics Beijing Institute of Technology Beijing100081 China Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing100081 China

Inverse synthetic aperture radar (ISAR) is an important tool for non-cooperative ship imaging, and one key step of ISAR imaging is range alignment. To achieve the range alignment with high precision, efficiency and robustness, an improved ISAR range alignment method based on maximum contrast is proposed in this paper, which takes the maximum contrast of average range profile as the optimisation criterion to perform the range alignment. Compared with the minimum entropy method, this method is with lower computation complexity and faster convergence rate. Thus the method proposed in this article is more effective and more robust. Computer simulation and real data experiment validate the effectiveness and robustness of the proposed method. © 2019 Institution of Engineering and technology. All rights reserved.

关键词： Inverse synthetic aperture radar

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Target recognition in synthetic aperture radar image based on PCANet

Target recognition in synthetic aperture radar image based o...

引用

IET International Radar Conference 2018, IRC 2018

作者： Qi, Baogui Jing, Haitao Chen, He Zhuang, Yin Yue, Zhuo Wang, Chonglei Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing Institute of Technology Beijing100081 China Shanghai Institute of Satellite Engineering Shanghai200240 China

Automatic targets recognition (ATR) for synthetic aperture radar (SAR) image is very important. ATR can be used in traffic management, national frontier safety, and so on. Traditional algorithms for SAR ATR is composed of extraction features and training classifier. The features are essential for the classification accuracy. However, choosing good features by hand is a hard task. The deep convolutional neural networks (CNNs) which can learn features automatically have got a great performance in natural images. However, the CNNs have many parameters and need a lot of data to train such networks. The remote-sensing data of SAR is limited. Then, the authors need a simple network which needs not much data and easy to train. The principal component analysis network (PCANet) is a shallow network that performs well in the recognition task and needs no hand features choosing. Though this network has produced a wide application in the natural images, it is rarely used in the SAR images. The experimental result of the moving and stationary target acquisition and recognition (MSTAR) dataset shows that the PCANet can achieve over 99% accuracy on ten-class targets. This result is better than traditional algorithms and is very close to the results of deep-learning methods. © 2019 Institution of Engineering and technology. All rights reserved.

关键词： Principal component analysis

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Polarisation-space-time adaptive processing for heterogeneous clutter suppression of airborne-phased array radar

Polarisation-space-time adaptive processing for heterogeneou...

引用

IET International Radar Conference 2018, IRC 2018

作者： Sun, Yuze Yang, Jian Yang, Xiaopeng Department of Electronic Engineering Tsinghua University Beijing China Beijing Key Laboratory of Embedded Real-time Information Processing Technology School of Information and Electronic Beijing Institute of Technology Beijing China

Conventional space-time adaptive processing (STAP) achieves clutter suppression by combining spatial signals and the temporal pulses. However, extreme slow-moving target cannot be effectively detected by space-time joint filtering in ambiguous and non-broadside clutter environment for airborne-phased array radar. By increasing the polarisation information in clutter suppression, improved moving target detection performance can be obtained by the polarisation-space-time adaptive processing (P-STAP). In this study, the performance of P-STAP for airborne-phased array radar is analysed. The polarised signal model of airborne-phased array radar is firstly established and then clutter suppression principle of P-STAP is derived in detailed. Afterwards, the performance of P-STAP is investigated and compared with conventional STAP in ambiguous clutter environment. It is verified that the P-STAP can outperform the conventional STAP for slow moving target detection by three-domain joint processing, especially for ambiguous and non-broadside clutter environment for airborne-phased array radar. © 2019 Institution of Engineering and technology. All rights reserved.

关键词： Space time adaptive processing

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Adaptive signal suppression based on modified PCA for a single-point radiation source in radar networks

Adaptive signal suppression based on modified PCA for a sing...

引用

IET International Radar Conference 2018, IRC 2018

作者： Miao, Yingjie Liu, Feifeng Tian, Lun Liu, Quanhua School of Information and Electronics Beijing Institute of Technology Beijing100081 China Beijing Key Laboratory of Embedded Real-time Information Processing Technology School of Information and Electronics Beijing Institute of Technology Beijing100081 China

In order to realise effective target detection with a large baseline radar network interfered by a single radiation source, an adaptive processing method derived from traditional principal component analysis (PCA) and array signal processing theory is proposed in this study. First, the signal model for target detection with a large baseline radar system in an interference environment is established. Second, based on the characteristics of the signal model, an adaptive suppression method composed of high-precision delay alignment and modified PCA is proposed. Finally, the effectiveness of the method in a typical environment is verified by simulation. The results show that this method can accumulate target energy effectively and realise reliable detection in such case, which has great application prospects. © 2019 Institution of Engineering and technology. All rights reserved.

关键词： Principal component analysis

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