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检索条件"机构=Beijing Key Laboratory of Embedded•Real-Time Information: Processing Technology"

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Implementation of memory architecture for real-time spaceborne SAR imaging system

Implementation of memory architecture for real-time spacebor...

引用

IET International Radar Conference 2015

作者： Zhiliu Yang Zhu Yang Shan Dong Liang Chen Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing Institute of Technology Beijing 100081 China

ISBN: (纸本)9781510822023

Due to the existence of the large scale matrix transposition, the memory bandwidth becomes the bottleneck of the real-time processing in spaceborne SAR imaging. The paper reports a preliminary study result of the memory architecture in the spaceborne SAR imaging system. It consists of algorithm summarizations, implementation difficulty discussions and processing requirement analysis. Then, a new memory architecture is being proposed to improve memory access efficiency and its implementation is specified. Finally, results of different methods are compared and imaging results validates the presented memory architecture.

关键词： Spaceborne SAR imaging Interleaving Matrix transposition Memory architecture Memory architecture matrix transpose Radar polarimetry Memory Memory memory bandwidth real-time process Imaging

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Relative radiometric correction for remote sensing images based on VIVADO HLS

Relative radiometric correction for remote sensing images ba...

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IET International Radar Conference 2015

作者： Zeng-zeng Jia Bao-gui Qi Liang Chen He Chen Long Ma Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing Institute of Technology Beijing 100081 China

ISBN: (纸本)9781510822023

This paper proposes and implements the relative radiometric correction for remote sensing images based on Vivado HLS with FPGA. This design not only simplifies the development process, but successfully achieved the purpose of improving the image quality of remote sensing image. Firstly, this paper gives a brief analysis on the radiometric correction algorithm based on histogram matching correction, and then using C to complete the hardware development of FPGA by HLS. The results validate the feasibility of histogram correction based on HLS.

关键词： FPGA HLS histogram matching radiometric correction

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Change detection in optical remote sensing images based on watershed segmentation

Change detection in optical remote sensing images based on w...

引用

IET International Radar Conference 2015

作者： Zhihong Mai Hao Shi Yizhuang Xie Long Ma Bejing key Laboratory of Embedded Real-time Information Processing Technology Beijing Institute of Technology Beijing 100081 China

ISBN: (纸本)9781510822023

A novel approach is presented for change detection of very high resolution (VHR) remote sensing images in this paper, which is achieved by an improved watershed segmentation and mutual correlation. Specifically, the input multitemporal images are watershed segmented separately in the first stage. And then fuse the segmentation regions of two segmented images, which is also a combination of object outlines in other words. Finally, the change mask can be acquired by the mutual correlation method. Experimental results show the superiority of the proposed method over the Markov random filed (MRF) method to the VHR urban optical remote sensing images.

关键词： change detection mutual correlation region fusion remote sensing watershed segmentation

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Subarray partition method based on division position coding genetic algorithm

Subarray partition method based on division position coding ...

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IET International Radar Conference 2015

作者： Wen Xi Xiaopeng Yang Yuze Sun Tao Zeng Beijing Key Laboratory of Embedded Real-time Information Processing Technology School of Information and Electronics Beijing Institute of Technology Beijing 100081 China

This paper proposed a genetic algorithm based on division position coding to solve the optimization of subarray partition in monopulse application, which aims at finding the best compromise between sum and difference patterns. In the proposed method, the division position is encoded as a chromosome gene, then the initial population is randomly generated by a series of non-repeated integers, and the fitness calculation and genetic operation are subtly designed to improve the convergence and stability. Various numeral simulation results are presented to verify the effectiveness of the proposed method.

关键词： division position coding genetic algorithm subarray partition Genetic Algorithm (GA) subarray Genetic Code Difference pattern Division division

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Joint slow/fast-time pulse diversity method for countering range gate pull off jamming

Joint slow/fast-time pulse diversity method for countering r...

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IET International Radar Conference 2015

作者： Wei Li Wei Liu Liyong Guo Xiaopeng Yang Beijing Key Laboratory of Embedded Real-time Information Processing Technology School of Information and Electronics Beijing Institute of Technology Beijing 100081 China

ISBN: (纸本)9781510822023

The range gate pull off (RGPO) jamming is considered as common electronic countermeasures (ECM) technique used to deceive radar tracking system. Under the stationary assumption, traditional slow-time pulse diversity approach needs several pulse repetition intervals (PRIs). However in the presence of RGPO, jamming signals would change fast over PRIs, making stationary hypothesis invalid. Therefore in order to solve this problem, a jamming cancelation approach based on the theory of pulse diversity is proposed in this paper to suppress deception RGPO jamming. In the proposed method, different from the conventional slow-time method, the proposed joint slow/fast time method implements a transmission pulse block in half quantity of PRI, which is designed based on the orthogonal block structure. Then after a simple one-step matched-filtering operation, jamming signal under RGPO can be suppressed efficiently. Since the cancellation process can be completed within one PRI, the stationary hypothesis is no longer needed. Based on the numeral simulations, it is verified that the proposed method is effective for countering RGPO jamming in rapidly changing condition.

关键词： digital radio frequency memory electronic counter-countermeasures joint slow/fast time pulse diversity matched-filtering range gate pull off (RGPO) jamming

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Derivative constrained Gram-Schmidt orthogonalization beamforming method with widened nulls

Derivative constrained Gram-Schmidt orthogonalization beamfo...

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IET International Radar Conference 2015

作者： Xiaona Hu Yuanyuan Song Yuze Sun Xiaopeng Yang Beijing Key Laboratory of Embedded Real-time Information Processing Technology School of Information and Electronics Beijing Institute of Technology Beijing 100081 China

ISBN: (纸本)9781510822023

The performance of the conventional Gram-Schmidt orthogonalization of covariance matrix (RGS) beamforming method will decrease significantly when non-ideal factors exists such as the appearances of fast moving interferences, array platform movement. In order to improve the robustness of interference suppression, a derivative constrained Gram-Schmidt orthogonalization of covariance matrix (CRGS) beamforming method with widened nulls is proposed in this paper. In the proposed method, the number of interference P is initially estimated and the first subspace is reconstructed by Gram-Schmidt orthogonalization of the first P columns of sample covariance matrix. Afterwards, the derivative constrained vectors and the second subspace spanned of these vectors are constructed. At last the adaptive weight vector is obtained by orthogonally projecting the quiescent weight vector onto the interference subspace made up of the first subspace and the second subspace. Based on the numeral simulation results, it is verified that the proposed method can form widened nulls and effectively improve the robustness of interference suppression.

关键词： Gram-Schmidt orthogonalization adaptive beamforming derivative constraint widened null

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Robust sound recognition method based on human auditory bionic processing

Robust sound recognition method based on human auditory bion...

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IET International Radar Conference 2015

作者： Yuqing Li Xiaopeng Yang Yuze Sun Cheng Hu Tao Zeng Beijing Key Laboratory of Embedded Real-time Information Processing Technology School of Information and Electronics Beijing Institute of Technology Beijing 100081 China

The sound recognition is considered as an effective tool to improve the performance of man-machine interaction. However, because of the non-ideal effect during the propagation and the extensive variation range of sound signal, it is quite difficult to achieve high accuracy target sound recognition for conventional sound recognition methods. In order to improve the performance of sound recognition, a robust sound recognition method based on human auditory bionic processing is proposed in this paper. In the proposed method, by analyzing the major function of human auditory system, the mathematical model of human auditory system is firstly developed to simulate the sound propagation in human auditory physiological processing. Then by extracting the muti-dimensional eigenvectors of the auditory spectrum, the feature of target sound signal is obtained. Afterwards, the recognition and classification of sound signal is achieved by the back-propagation (BP) neural network method. Based on the simulation of actual sound signal, it is verified that the proposed method can effectively simulate the sound propagation and achieve desirable sound recognition performance under noise condition.

关键词： back propagation neural network feature extraction human auditory system muti-dimensional eigenvectors sound recognition Speech recognition audio signals Auditory System Feature extraction sound propagation back-propagation network bionics

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Improved orthogonal projection adaptive beamforming based on normalization at subarray level

Improved orthogonal projection adaptive beamforming based on...

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IET International Radar Conference 2015

作者： Shuai Li Xiaopeng Yang Xiaona Hu Liyong Guo Beijing Key Laboratory of Embedded Real-time Information Processing Technology School of Information and Electronics Beijing Institute of Technology Beijing 100081 China

ISBN: (纸本)9781510822023

Orthogonal projection (OP) adaptive beamforming is widely applied in practical scenarios because of strong robustness. However, the performance of traditional OP adaptive beamforming would degrade severely when OP adaptive beamforming is applied at subarray level, especially in asymmetrical subarray configuration. To overcome this problem, the improved orthogonal projection (IOP) adaptive beamforming based on normalization at subarray level is proposed. In the proposed method, the covariance matrix is firstly modified by normalizing the noise power at subarray level. Subsequently, the interference subspace is estimated by eigenvalue decomposition, and then the adaptive weight is calculated by using OP adaptive beamforming. Numeral simulation results show that the proposed method at subarray level outperforms the traditional OP adaptive beamforming and the output signal-to-interference-plus-noise ratio (SINR) is close to the optimum value. The proposed method can be significantly effective in practical applications.

关键词： adaptive beamforming covariance matrix normalization orthogonal projection subarray level

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Iterative roubust sparse recoery method based on focuss for space-time adaptive processing

Iterative roubust sparse recoery method based on focuss for ...

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IET International Radar Conference 2015

作者： Xiaopeng Yang Yuze Sun Tao Zeng Teng Long Beijing Key Laboratory of Embedded Real-time Information Processing Technology School of Information and Electronics Beijing Institute of Technology Beijing 100081 China

ISBN: (纸本)9781510822023

Conventional Space-time adaptive processing (STAP) requires large numbers of independent and identically distributed (i.i.d.) training samples to ensure the clutter suppression performance, which is hard to be achieved in nonhomogeneous environment. In order to obtain improved clutter suppression with small training support, an iterative sparse recovery STAP algorithm is proposed in this paper. In the proposed method, the clutter spectrum sparse recovery and the calibration of space-time over-complete dictionary are implemented iteratively, modified focal underdetermined system solution (FOCUSS) with recursive calculation is used to alleviate the recovery error and reduce the computational cost, meanwhile the mismatch of space-time overcomplete dictionary is calibrated by minimized the cost function. Based on the simulated and the actual data, it is verified that the proposed method can not only converge with much smaller training samples compared with conventional STAP methods, but also provide improved performance compared with existing sparsity-based STAP methods.

关键词： FOCUSS STAP robust small training support sparse recovery

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Adaptive frequency domain imaging algorithm in geosynchronous SAR

Adaptive frequency domain imaging algorithm in geosynchronou...

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IET International Radar Conference 2015

作者： Ye Tian Cheng Hu Qian He Xichao Dong Teng Long Tao Zeng Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing Institute of Technology Beijing P.R. China

ISBN: (纸本)9781510822023

The biggest challenge for GEO SAR imaging is to compensate the Doppler parameter space-variance properly. The problem of velocity space-variance becomes severe in GEO SAR due to the effect of earth rotation and large imaging area. In addition, the direction of velocity space-variance is very difficult to determine in Equator due to the very complex geometry relationship among satellite motion, earth rotation and imaging scene, thus making it difficult to be compensated. These problems can't be solved with present GEO SAR imaging algorithm. This literature proposes an improved secondary range compression (SRC) algorithm. The GEO SAR signal model is obtained firstly. The effects of velocity space-variance on each term of GEO SAR signal two-dimension spectrum are analyzed. Then, the velocity space-variance is described based on a velocity model, the effect of velocity space-variance is compensated by means of adaptive phase compensation processing. Finally, the correctness of this method is proved through target points simulation.

关键词： Adaptive Phase Compensation Frequency Domain Imaging Algorithm Geosynchronous SAR

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