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Doppler ambiguity analysis and suppression for LTE-based passive bistatic radars Research Articles

Luo Zuo, Jun Wang, Gang Chen,zuoluo_xidian@163.com,wangjun@xidian.edu.cn

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 8,   Pages 1140-1152 doi: 10.1631/FITEE.2000143

Abstract: , we provide a detailed analysis of the frequency division duplex long term evolution downlink (FDD LTEits undesired deterministic peaks in the Doppler dimension due to the specific structure of the FDD LTE

Keywords： 外辐射源雷达（PBR）；长期演进（LTE）；多普勒模糊副峰；距离多普勒二维联合    

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Robust mismatched filtering algorithm for passive bistatic radar using worst-case performance optimization Research Articles

Gang Chen, Jun Wang,chengang_xidian@163.com,wangjun@xidian.edu.cn

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 7,   Pages 963-1118 doi: 10.1631/FITEE.1900150

Abstract: detects targets by exploiting available local broadcasters and communication transmissions as illuminators, which are not designed for radar. The signal usually contains a time-varying structure, which may result in high-level range ambiguity sidelobes. Because the mismatched filter is effective in suppressing sidelobes, it can be used in a . However, due to the in the reference signal, the sidelobe suppression performance seriously degrades in a system. To solve this problem, a novel algorithm is developed using . In this algorithm, the influence of the low energy level in the reference signal is taken into consideration, and a new cost function is built based on . With this optimization, the mismatched filter weights can be obtained by minimizing the total energy of the ambiguity . Quantitative evaluations and simulation results demonstrate that the proposed algorithm can realize sidelobe suppression when there is a low-energy reference signal. Its effectiveness is proved using real data.

Keywords： 外辐射源雷达；距离副峰；低信噪比；失配滤波；最差性能最优    

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Joint compressed sensing imaging and phase adjustment via an iterative method for multistatic passive radar None

Jue WANG, Jun WANG

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 4,   Pages 557-568 doi: 10.1631/FITEE.1601423

Abstract: The resolution of the multistatic passive radar imaging system (MPRIS) is poor due to the narrow bandwidth of the signal transmitted by illuminators of opportunity. Moreover, the inaccuracies caused by the inaccurate tracking system or the error position measurement of illuminators or receivers can deteriorate the quality of an image. To improve the performance of an MPRIS, an imaging method based on the tomographic imaging principle is presented. Then the compressed sensing technique is extended to the MPRIS to realize high-resolution imaging. Furthermore, a phase correction technique is developed for compen-sating for phase errors in an MPRIS. Phase errors can be estimated by iteratively solving an equation that is derived by minimizing the mean recovery error of the reconstructed image based on the principle of fixed-point iteration technique. The technique is nonparametric and can be used to estimate phase errors of any form. The effectiveness and convergence of the technique are confirmed by numerical simulations.

Keywords： Multistatic passive radar     Compressed sensing     Phase adjustment     Fixed-point iteration technique    

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High-accuracy target tracking for multistatic passive radar based on a deep feedforward neural network Research Article

Baoxiong XU, Jianxin YI, Feng CHENG, Ziping GONG, Xianrong WAN,jessiexu@whu.edu.cn,jxyi@whu.edu.cn,cwing@whu.edu.cn

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 8,   Pages 1214-1230 doi: 10.1631/FITEE.2200260

Abstract: In radar systems, errors are mainly from motion models and nonlinear measurements. When we evaluate a tracking algorithm, its is the main criterion. To improve the , in this paper we formulate the tracking problem into a regression model from measurements to target states. A tracking algorithm based on a modified (MDFNN) is then proposed. In MDFNN, a is introduced to describe the temporal sequence relationship of the input measurement sequence, and the optimal measurement sequence size is analyzed. Simulations and field experimental data of the show that the accuracy of the proposed algorithm is better than those of extended Kalman filter (EKF), unscented Kalman filter (UKF), and recurrent neural network (RNN) based tracking methods under the considered scenarios.

Keywords： Deep feedforward neural network     Filter layer     Passive radar     Target tracking     Tracking accuracy    

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Frequency-hopping transmitter fingerprint feature recognition with kernel projection and joint representation Research Articles

Ping SUI, Ying GUO, Kun-feng ZHANG, Hong-guang LI

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 8,   Pages 1133-1146 doi: 10.1631/FITEE.1800025

Abstract: Frequency-hopping (FH) is one of the commonly used spread spectrum techniques that finds wide applications in communications and radar systems because of its inherent capability of low interception, good confidentiality, and strong antiinterference. However, non-cooperation FH transmitter classification is a significant and challenging issue for FH transmitter fingerprint feature recognition, since it not only is sensitive to noise but also has non-linear, non-Gaussian, and non-stability characteristics, which make it difficult to guarantee the classification in the original signal space. Some existing classifiers, such as the sparse representation classifier (SRC), generally use an individual representation rather than all the samples to classify the test data, which over-emphasizes sparsity but ignores the collaborative relationship among the given set of samples. To address these problems, we propose a novel classifier, called the kernel joint representation classifier (KJRC), for FH transmitter fingerprint feature recognition, by integrating kernel projection, collaborative feature representation, and classifier learning into a joint framework. Extensive experiments on real-world FH signals demonstrate the effectiveness of the proposed method in comparison with several state-of-the-art recognition methods.

Keywords： Frequency-hopping     Fingerprint feature     Kernel function     Joint representation     Transmitter recognition    

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Research on 1D and 2D numerical simulation of flood routing and its application of combined-regulation in detention basin

Li Daming、Lin Yi、Zhou Zhihua

Strategic Study of CAE 2010, Volume 12, Issue 3,   Pages 82-89

Abstract:

Based on the overlapped conditions on complex river network and basin, a 1D and 2D flood routing model which is based on water-resistance structure of railways, roads, embankment and mobile boundary to realize timely flood regulation in basins of the detention basin was proposed. The model was calculated by using the finite volume method (FVM). A corresponding simulation system of the 1D and 2D flood routing model was set up in consideration of the total frame of flood optimization regulation. Any position's water level, flow speed, water height and submerged time can be acquired from it. The system was used in Dongdian Basin, and reasonable agreement was found between the measured data and the calculated data of Daqing River. The system was also used to simulate the program of five basins combined-regulation in Daqing River Basin, and to analyze the return basin phenomenon, comparing different cases .

Keywords： detention basin     flood routing     1D and 2D numerical simulation     finite volume method     combined-regulation    

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Construction, Techniques and Application of New Generation Doppler Weather Radar Network in China

Xu Xiaofeng

Strategic Study of CAE 2003, Volume 5, Issue 6,   Pages 7-14

Abstract:

New generation Doppler weather radar (NEXTRAD) has become one of the most important tools for monitoring and forecasting severe weather. It has been widely used in some developed countries. China's NEXTRAD network has been constructed since 1998, and the project is supported by national debt. The techniques in NEXTRAD development are described in this article, including the situation of construction and application in China, some problems that should be carefully considered in construction and several new fields of radar techniques in weather monitoring in future.

Keywords： Doppler weather radar     technical analysis     construction     application     future development    

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Range estimation based on symmetry polynomial aided Chinese remainder theorem for multiple targets in a pulse Doppler radar Research Articles

Chenghu CAO, Yongbo ZHAO,ybzhao@xidian.edu.cn

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 2,   Pages 304-316 doi: 10.1631/FITEE.2000418

Abstract: To avoid Doppler ambiguity, pulse Doppler radar may operate on a high pulse repetition frequency (PRF). The use of a high PRF can, however, lead to in many cases. At present, the major efficient solution to solve is based on a waveform design scheme. It adds complexity to a radar system. However, the traditional multiple-PRF-based scheme is difficult to be applied in because of unknown correspondence between the target range and measured range, especially using the Chinese remainder theorem (CRT) algorithm. We make a study of the CRT algorithm for when the residue set contains noise error. In this paper, we present a symmetry polynomial aided CRT algorithm to effectively achieve range estimation of when the measured ranges are overlapped with noise error. A closed-form and robust CRT algorithm for single target and the Aitken acceleration algorithm for finding roots of a polynomial equation are used to decrease the computational complexity of the proposed algorithm.

Keywords： Range ambiguity     Erroneous range     Multiple targets     Symmetry polynomial aided Chinese remainder theorem    

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A New Two_dimensional Linear Discriminant Analysis Algori thmBased on Fuzzy Set Theory

Zheng Yujie,Yang Jingyu,Wu Xiaojun, Li Yongzhi

Strategic Study of CAE 2007, Volume 9, Issue 2,   Pages 49-53

Abstract:

2DLDA algorithm is based on2D matrices and overleaps the step of transforming the matrices into the corresponding vectors,which is done on conventional LDA algorithm.However,performance of recognition rate may always be degraded by the overlapping(outlier)samples et al in the field of pattern recognition.How to avoid these shortcomings and extract optimal features to improve the performance of recognition is a key step. In this paper,a new2DLDA algorithm,named fuzzy2DLDA,is proposed.Fuzzy k-nearest neighbour(FKNN) is implemented first to achieve the distribution information of original samples represented with fuzzy membership degrees and is incorporated into the process of feature extraction.The proposed algorithm inherits the virtue of conventional2DLDA and suppresses the shortcoming resulted by overlappin g(outlier)samples et al. Experimental results on AT&T face database demonstrate rec ognition rates of the proposed algorithm outperform that of conventional2DLDA and fisherface.

Keywords： two-dimensional linear discriminant analysis(2DLDA)     fuzzy two-dimensional linear    

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Generalized labeled multi-Bernoulli filter with signal features of unknown emitters Research Article

Qiang GUO, Long TENG, Xinliang WU, Wenming SONG, Dayu HUANG

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 12,   Pages 1871-1880 doi: 10.1631/FITEE.2200286

Abstract:

A novel algorithm that combines the (GLMB) filter with signal features of the unknown emitter is proposed in this paper. In complex electromagnetic environments, emitter features (EFs) are often unknown and time-varying. Aiming at the unknown feature problem, we propose a method for identifying EFs based on of data fields. Because EFs are time-varying and the probability distribution is unknown, an improved algorithm is proposed to calculate the correlation coefficients between the target and measurements, to approximate the EF likelihood function. On this basis, the EF likelihood function is integrated into the recursive GLMB filter process to obtain the new prediction and update equations. Simulation results show that the proposed method can improve the tracking performance of multiple targets, especially in heavy clutter environments.

Keywords： Multi-target tracking     Generalized labeled multi-Bernoulli     Signal features of emitter     Fuzzy C-means     Dynamic clustering    

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Study on motion compensation method for MMW Chirp － SF radar

Wang Guili,Li Xingguo

Strategic Study of CAE 2008, Volume 10, Issue 7,   Pages 184-187

Abstract:

MMW Chirp - SF radar is a kind of radar to get high range resolution, but the problem of rangevelocity coupling is serious. So it is necessary to carry out the motion compensation in order to increase the range resolution of moving target. This paper puts forward a velocity measurement method compounding the Pulse Doppler velocity measurement and the time-domain correlation method based on Chirp - SF signal. The simulations results show that this method can be used to measure velocity accurately with simple arithmetic and high speed.

Keywords： MMW radar     Chirp - SF     Doppler     motion compensation    

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Stepped frequency chirp signal imaging radar jamming using two-dimensional nonperiodic phase modulation Research Article

Qihua WU, Feng ZHAO, Tiehua ZHAO, Xiaobin LIU, Junjie WANG, Shunping XIAO

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 3,   Pages 433-446 doi: 10.1631/FITEE.2200298

Abstract: obtains high-resolution radar images by synthesizing multiple narrowband chirp pulses. It has been one of the most commonly used waveforms due to its lower demand for radar instant bandwidth. In this paper, we propose a method using two-dimensional against imaging radar. Using the unique property of , the proposed method can generate high-level sidelobes that perform as a special blanket jamming along both the range and azimuth directions and make the target unrecognizable. Then, the influence of different modulation parameters, such as the code width and duty ratio, are further discussed. Based on this, the corresponding parameter design principles are presented. Finally, the validity of the proposed method is demonstrated by the Yake-42 plane data simulation and measured unmanned aerial vehicle data experiment.

Keywords： Radar jamming     Stepped frequency chirp signal     Nonperiodic phase modulation     Wideband radar    

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Two dimensional value simulation of shallow water equation

Xiang Bo,Mi Xiao,Ji Changming,Luo Qingsong

Strategic Study of CAE 2008, Volume 10, Issue 7,   Pages 118-124

Abstract:

The unstructured triangular mesh adapts to complex irregular boundary.Based on this,adopting finite volume method to disperse shallow water equation and combining with the finite difference method, this paper has developed a new discrete format that caused the interface flux to achieve second-order precision. To verify the model established, this paper has simulated and calculated the two-dimensional curve course and some two-dimensional flow of dam-break separately, and obtained preferable results comparing with other methods.

Keywords： shallow water equation     finite volume method     unstructured mesh     dam-break    

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Adaptive Optimization of Correlation-Interval for DopplerSpread Estimation and Its Iterative Implement

Zhang Peng,Bi Guangguo,Cao Xiuying,Yuan Xiaohui

Strategic Study of CAE 2007, Volume 9, Issue 6,   Pages 71-76

Abstract:

In this paper,  at first research of relation between correlation-interval and estimation accuracy is carried out,  and the optimal correlation-interval is proved to be existent that is adaptive to signal-to-noise ratio and velocity varieties. Then some special characteristics of the optimal correlation-interval are explored. Based on them an iterative correlation-interval optimized (CIO) algorithm is proposed.  It optimizes the correlation- interval and calculates the Doppler spread by increasing the resolution on time-domain iteratively.  Simulation results show that contrasted to conventional schemes the proposed approach is less sensitive to signal-to-noise ratio and velocity varieties,  and can improves the performance dramatically in low signal-to-noise ratio environment in which the conventional schemes has a poor performance. It achieves the high accurate estimation of Doppler spread directly.

Keywords： Doppler spread     autocorrelation     optimization     iteration    

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Principle and status of technique of smoothed particle hydrodynamics and heat conduction model

Wang Yuheng,Liu Feng,Song Fengmei

Strategic Study of CAE 2008, Volume 10, Issue 11,   Pages 47-51

Abstract:

The article is a summary about the basic theory and the developing status of technique of smoothed particle hydrodynamics (SPH).Two typical examples of two dimensions nonlinear dynamics have been simulated numerically by SPH in the article. Otherwise, the SPH model on heat conduction problem has been discussed.

Keywords： SPH     two dimensions nonlinear dynamics     heat conduction model     numerical simulations    

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Title Author Date Type Operation

Doppler ambiguity analysis and suppression for LTE-based passive bistatic radars

Luo Zuo, Jun Wang, Gang Chen,zuoluo_xidian@163.com,wangjun@xidian.edu.cn

Journal Article

Robust mismatched filtering algorithm for passive bistatic radar using worst-case performance optimization

Gang Chen, Jun Wang,chengang_xidian@163.com,wangjun@xidian.edu.cn

Journal Article

Joint compressed sensing imaging and phase adjustment via an iterative method for multistatic passive radar

Jue WANG, Jun WANG

Journal Article

High-accuracy target tracking for multistatic passive radar based on a deep feedforward neural network

Baoxiong XU, Jianxin YI, Feng CHENG, Ziping GONG, Xianrong WAN,jessiexu@whu.edu.cn,jxyi@whu.edu.cn,cwing@whu.edu.cn

Journal Article

Frequency-hopping transmitter fingerprint feature recognition with kernel projection and joint representation

Ping SUI, Ying GUO, Kun-feng ZHANG, Hong-guang LI

Journal Article

Research on 1D and 2D numerical simulation of flood routing and its application of combined-regulation in detention basin

Li Daming、Lin Yi、Zhou Zhihua

Journal Article

Construction, Techniques and Application of New Generation Doppler Weather Radar Network in China

Xu Xiaofeng

Journal Article

Range estimation based on symmetry polynomial aided Chinese remainder theorem for multiple targets in a pulse Doppler radar

Chenghu CAO, Yongbo ZHAO,ybzhao@xidian.edu.cn

Journal Article

A New Two_dimensional Linear Discriminant Analysis Algori thmBased on Fuzzy Set Theory

Zheng Yujie,Yang Jingyu,Wu Xiaojun, Li Yongzhi

Journal Article

Generalized labeled multi-Bernoulli filter with signal features of unknown emitters

Qiang GUO, Long TENG, Xinliang WU, Wenming SONG, Dayu HUANG

Journal Article

Study on motion compensation method for MMW Chirp － SF radar

Wang Guili,Li Xingguo

Journal Article

Stepped frequency chirp signal imaging radar jamming using two-dimensional nonperiodic phase modulation

Qihua WU, Feng ZHAO, Tiehua ZHAO, Xiaobin LIU, Junjie WANG, Shunping XIAO

Journal Article

Two dimensional value simulation of shallow water equation

Xiang Bo,Mi Xiao,Ji Changming,Luo Qingsong

Journal Article

Adaptive Optimization of Correlation-Interval for DopplerSpread Estimation and Its Iterative Implement

Zhang Peng,Bi Guangguo,Cao Xiuying,Yuan Xiaohui

Journal Article

Principle and status of technique of smoothed particle hydrodynamics and heat conduction model

Wang Yuheng,Liu Feng,Song Fengmei

Journal Article