Electronic Engineering Institute of PLA

Hefei, China

Electronic Engineering Institute of PLA

Hefei, China
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Zhou L.,Electronic Engineering Institute of PLA | Luo J.,Electronic Engineering Institute of PLA | Yu Z.,Electronic Engineering Institute of PLA | Wu S.,Electronic Engineering Institute of PLA
Hangkong Xuebao/Acta Aeronautica et Astronautica Sinica | Year: 2017

For accurate localization of wideband signal stationary sources of known height, a novel algorithm is proposed using the information of time difference of arrival (TDOA) and frequency difference of arrival (FDOA) between two moving stations. This method uses the principle of synthetic aperture radar (SAR) imaging and the idea of direct localization for reference. The observing time is divided into fast time and slow time in sampling. TDOA is required in the fast time domain, and FDOA is estimated in the slow time domain. Cross correlation of frequency domain is operated first between the sampling signals of two stations, and range cell migration of signals is then eliminated by reference function and general Keystone transform. The joint TDOA and FDOA are finally estimated by applying 2-D Fourier transform and mapping the position of sources. The results of simulation show that the precision of location is close to Cramer-Rao low bound (CRLB) when SNR is high, and the proposed method can be still used for location in low SNR. Besides, with low computational cost, the proposed algorithm is especially applicable for observing unresolved multiple target localization with properties of high precision and super resolution. © 2017, Press of Chinese Journal of Aeronautics. All right reserved.

Wu C.-X.,Electronic Engineering Institute of PLA | Zhang M.,Electronic Engineering Institute of PLA | Wang K.-R.,Electronic Engineering Institute of PLA
Zhejiang Daxue Xuebao (Gongxue Ban)/Journal of Zhejiang University (Engineering Science) | Year: 2017

A novel broadband direction of arrival (DOA) estimation algorithm based on two level nested array was proposed to achieve broadband underdetermined DOA estimation. The dimension of the array received data was reduced by using spatial frequencies. Spatial frequencies continuous sparse recovery model was constructed by using the spatial sparseness of the spatial frequency. The high resolution estimation of spatial frequencies was achieved with primal dual approach and root finding. The frequency domain covariance matrix was constructed.The spatial frequencies and frequencies were matched by using the sparse recovery of the sum of larger eigenvectors, which are coming from the frequency domain covariance matrix's eigen value decomposition(ED).Then DOA estimation can be obtained.Results show that the number of sources by the proposed algorithm is larger than the number of actual sensors. Off-grid effects caused by discretizing this range onto a grid in traditional sparse recovery can be neglected, thus improving precision and resolution of DOA estimation. © 2017, Zhejiang University Press. All right reserved.

Wang J.,Hefei University of Technology | Wang S.,Electronic Engineering Institute of PLA
Lecture Notes in Electrical Engineering | Year: 2013

This paper extends the existing models to the case where the random demand depending on advertising expenditure and selling price follows the additive form. The retailer's optimal ordering, pricing and advertising decision model and the manufacturer's optimal production decision model are respectively developed, and the closed-form solution to each model is provided as well. Moreover, we explore the effect of different forms of demand function (i.e., multiplicative form and additive form) on the decisions of the supply chain members. Our analysis suggests that the multiplicative form fits for depicting the demand of the branded products while the additive form is appropriate for the new or low brand recognition products. Finally, we implement a numerical study to illustrate the models. © 2013 Springer-Verlag.

Wang S.-D.,Electronic Engineering Institute of PLA | Wang J.-P.,Hefei University of Technology | Zhou Y.-W.,South China University of Technology
Kongzhi yu Juece/Control and Decision | Year: 2013

This paper develops a two-period order decision model for the dynamic perishable product. The theoretical analysis of the optimal solutions to the considered problem is presented, and a simple method for finding the optimal two-period order policy is given as well. A practical purchasing example of Netac USB flash driver is presented to illustrate the application of the model. Finally, according to the investigation of the relationships between the order decision and such factors as the demand fluctuation, the correlation coefficient of two-period demands, and backlogging rate, some important managerial insights are obtained.

Min J.,Anhui University of Architecture | Zhou Y.-W.,South China University of Technology | Liu G.-Q.,Hefei University of Technology | Wang S.-D.,Electronic Engineering Institute of PLA
International Journal of Systems Science | Year: 2012

This article develops an inventory model for exponentially deteriorating items under conditions of permissible delay in payments. Unlike the existing related models, we assume that the items are replenished at a finite rate and the demand rate of the items is dependent on the current inventory level. The objective is to determine the optimal replenishment policies in order to maximise the system's average profit per unit of time. A simple method is shown for finding the optimal solution of the model based on the derived properties of the objective function. In addition, we deduce some previously published results as the special cases of the model. Finally, numerical examples are used to illustrate the proposed model. Some managerial insights are also inferred from the sensitive analysis of model parameters. © 2012 Taylor and Francis Group, LLC.

Wu Y.-J.,State Key Laboratory of Pulsed Power Laser Technology | Wu Y.-J.,Electronic Engineering Institute of PLA | Huang Y.,Electronic Engineering Institute of PLA | Wu X.-L.,Anhui University
Dianbo Kexue Xuebao/Chinese Journal of Radio Science | Year: 2011

A general geometry model of airborne bistatic spotlight SAR is firstly established, and the echo expression in time-frequency domain is presented. Secondly, the difference frequency processing is performed by using the echo of the imaging scene center as the reference. The difference distance obtained is expanded into Taylor series. Then, the three-dimensional spatial resolution of bistatic spotlight SAR is formulated by using the first-order approximation under far-field assumption. Theoretical results are illustrated by numerical simulations. Finally, based on a general bistatic configuration with the transmitter and the receiver flying along the horizontal direction and the sloping direction, the paper analyzes the variation rules of the spatial resolution following by the geometric configuration and the motion parameters. Copyright © 2011 by Editorial Department of Chinese Journal of Radio Science.

Liu J.-C.,Electronic Engineering Institute of PLA | Yang X.-J.,Electronic Engineering Institute of PLA
Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology | Year: 2012

In view of the fast development of information countermeasure and intelligent communication, recognition of channel coding has been a vital issue in information interception. This paper proposes a new method of recognition in order to recognize the (n,1,m) convolutional codes. Firstly, this method defines the notion of check-sequence, and solves it by an advanced model of matrix, then deduces the matrix of generator polynomial, having recognized the convolutional code, by check-sequence. Finally, examples of simulation show that this method is able to recognize, neither knowing the parameter of code n nor the begin location of coding, all (n,1,m) convolutional codes effectively.

Zhang Y.,Electronic Engineering Institute of PLA | Yang X.-J.,Electronic Engineering Institute of PLA
Binggong Xuebao/Acta Armamentarii | Year: 2013

A method is proposed to recognize the frame synchronization codes of the sequence intercepted by non-cooperative part. This method is to use a small area detection algorithm to estimate the frame length, then use the secondary filter to judge the start bit of frame, and finally use the fuzzy matching algorithm to recognize the frame synchronization code. The simulation result shows that, if the bit error rate (BER) is less than 4%, the proposed method can achieve a high recognition probability for the frame synchronization code of synchronized data frames, where the recognition probabilities for the Barker codes and m-sequences are 80% and 78%, respectively.

Fan F.-H.,Electronic Engineering Institute of PLA | Ruan H.-L.,Electronic Engineering Institute of PLA
Tien Tzu Hsueh Pao/Acta Electronica Sinica | Year: 2014

There could be large error in Compressive Sensing Ultra-Wide Band (CS-UWB) channel estimation because of the coherence of sensing information matrix and the noise interference. Firstly, the Adaptive Sensing Information (ASI) matrix is constructed by measurement vector weighting, which has the desirable properties of low coherence and containing measurement information to support the sparse recovery algorithms to obtain optimal atoms. Secondly, a modified Sparsity Adaptive Matching Pursuit (SAMP) algorithm is proposed to recovery sparse signal accurately without prior information of sparsity or SNR. Finally, a non-convex CS-UWB channel estimation method is presented based on the ASI matrix and the modified SAMP algorithm. Both the theoretical analysis and the experimental results show that this method can accurately reconstruct UWB communication channel in low SNR conditions with very low compressive sampling ratio.

Yang X.-J.,Electronic Engineering Institute of PLA | Liu J.-C.,Electronic Engineering Institute of PLA | Zhang Y.,Electronic Engineering Institute of PLA
Yuhang Xuebao/Journal of Astronautics | Year: 2013

A novel method of recognition is proposed to recognize the (n, k, m) convolutional codes applied in satellite communication, deep space exploration and so on. The linear constraint relation between convolutional codes is used to improve constructing the model of analysis matrix, thus reducing the data needed in recognition effectively. On the foundation of having recognized length of code, first location of codes and the check-sequence by simplifying the matrix, a method is proposed to deduce the matrix of polynomials generated by the check-sequence, and to recognize the convolutional code at last. The examples of simulation show that the method of recognition is able to recognize all (n, k, m) convolutional codes effectively without any known conditions.

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