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检索条件"作者=Fulai Liu,Jinkuan Wang,Ruiyan Du,Bin Wang Engineering Optimization & Smart Antenna Institute Northeastern University,Qinhuangdao,066004"

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A 2-D DOA Estimation Method Based on Blind Source Separation

A 2-D DOA Estimation Method Based on Blind Source Separation

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2009中国控制与决策会议

作者： fulai liu,jinkuan wang,ruiyan du,bin wang engineering optimization & smart antenna institute northeastern university,qinhuangdao,066004

＜正＞A new two-dimensional direction of arrival（2-D DOA） estimation method is proposed,in this *** presented method makes using of blind source separation method based on the second-order identification to estimate the array response *** the rotational invariance techniques,we can estimate the 2-D DOA from the array response matrix *** estimated elevation angles and azimuth angles is automatically *** results are presented verifying the efficiency of the proposed method.

关键词： Blind Source Separation Two-Dimensional Direction of Arrival(2-D DOA) Second-Order Identification Array Response Matrix

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Space-Time Matrix Method for Joint Angle and Frequency Estimation

Space-Time Matrix Method for Joint Angle and Frequency Estim...

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2008 11th IEEE International Conference on Communication Technology(ICCT2008)

作者： ruiyan du jinkuan wang fulai liu engineering optimization & smart antenna institute northeastern university at qinhuangdao qinhuangdao China

High-resolution parameter estimation techniques have recently been applied to jointly estimate multiple signal *** this paper,we consider the joint angle and frequency estimation （JAFE） *** define a novel spacetime matrix which includes the information of incident angles and *** joint angle and frequency estimation method used the defined space-time matrix is named as spacetime matrix *** using of the proposed method,the frequencies and incident angles can be estimated by the eigenvalues and corresponding eigenvectors of the defined spacetime matrix,***,the presented method can automatically determined the paring of the estimated angles and frequencies by the relationship between eigenvalues and *** with the previous work,the space-time matrix method can provide better performance with substantially reduced computational *** performances of some relevant algorithms are compared via simulations,and the effectiveness of the proposed method is verified.

关键词： joint angle-frequency estimation eigenvalue decomposition space-time matrix

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ROBUST ADAPTIVE BEAMFORMING ALGORITHM UNDER DIRECTIONAL UNCERTAINTY

ROBUST ADAPTIVE BEAMFORMING ALGORITHM UNDER DIRECTIONAL UNCE...

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2009中国控制与决策会议

作者： Xin Song,jinkuan wang,bin wang engineering optimization & smart antenna institute northeastern university,qinhuangdao,066004

＜正＞When applying adaptive arrays to actualities,the performance of existing adaptive array algorithms is known to degrade substantially because of the slight mismatch between actual and presumed array responses to the desired *** this paper,a novel robust adaptive beamforming algorithm under directional uncertainty is therefore proposed using a Bayesian approach to respond to the current environment by learning or estimating the direction of arrival（DOA） of the actual signal from *** proposed algorithm can provide excellent robustness to the uncertainty of DOA of actual signal and make the mean output array SINR consistently close to the optimal *** results reveal that the proposed algorithm is superior in performance to conventional adaptive beamforming algorithms.

关键词： Adaptive Beamforming Directional Uncertainty Signal Steering Vector Mismatches

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Sensor Scheduling Target Tracking-oriented Based on Particle Swarm optimization

Sensor Scheduling Target Tracking-oriented Based on Particle...

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第三十届中国控制会议

作者： YAN Dongmei~1,wang jinkuan~2,liu Li~2,wang bin~2 1.College of Information Science and engineering,northeastern university,Shenyang 110819,P.R.China 2.Engineer optimization & smart antenna institute,northeastern university at qinhuangdao,qinhuangdao 066004,P.R.China

＜正＞Target tracking with wireless sensor networks is a challenging problem because of sensor nodes’ limited energy. Thus,deployment of sensor nodes must focus on power *** is possible to keep power by sensor scheduling algorithm during target *** scheduling algorithm target tracking-oriented based on Particle Swarm optimization is proposed in this *** a target move to the sensing filed,cluster heads are selected first,then CHs invite their neighboring sensors to form a *** formulation is optimized by Particle Swarm *** cluster technology can make good use of each sensor nodes’ limited energy and perform tasks coordinately.

关键词： Sensor Scheduling Wireless Sensor Network Particle Swarm optimization

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Time Allocation in Cognitive Radar for Multitarget Detection with Dynamic Programming

Time Allocation in Cognitive Radar for Multitarget Detection...

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2010 Chinese Control and Decision Conference

作者： Lina Fan~(1,2),jinkuan wang~(1,2),Dongmei Shu~(1,2),bin wang~1 1.School of Information Science and engineering,northeastern university,Shenyang,China,110004 2.Engineer optimization & smart antenna institute northeastern university at qinhuangdao,qinhuangdao,China,066004

＜正＞The radar performs three main functions:search,tracing and weapon *** of functions occupies amount of time,energy and computation resource of the radar *** cognitive radar,it should have the basic function which is *** radar needs to manage its resources dynamically and interactively between the setting of radar parameters to optimize the tasks to be carried out and perceive environment highlights the role in which knowledge and intelligence will be central in cognitive radar *** problem discussed here is the time allocation of cognitive radars in a multitarget *** this paper,we develop the optimization criterion based on the detection probabilities based on dynamic programming algorithm（DPA）.

关键词： Cognitive Radar Target Detection Dynamic Programming and Time Allocation

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An Distributed Parallel Aggregation Scheduling in Multihop SensorNet

An Distributed Parallel Aggregation Scheduling in Multihop S...

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2010 4th International Conference on Intelligent Information Technology Application (IITA2010)

作者： Liqun Shan1 2jinkuan wang1 3 1School of Information Science & engineering northeastern university Shenyang China Zhigang liu1 3ruiyan du1 3 2 northeastern Petroleum university Daqing China 3engineering optimization & smart antenna institute northeastern university at qinhuangdao Qin huang dao China

Data aggregation is a primitive operation in wireless sensor network applications. This paper focuses on data aggregation scheduling problem to minimize the latency. An efficient distributed method is proposed to structure a collision-free schedule for parallel data aggregation in WSNs. We prove that the latency of the aggregation schedule generated by our algorithm is at most 4Δ+15R-16 time-slots where R is the network radius and Δ is the maximum node degree in the communication graph of the original network.

关键词： wireless sensor networks connected dominating set parallel aggregation scheduling latency

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Sensor Scheduling Target Tracking-oriented with Wireless Sensor Network

Sensor Scheduling Target Tracking-oriented with Wireless Sen...

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第25届中国控制与决策会议

作者： YAN Dongmei wang jinkuan Engineer optimization & smart antenna institute Northeastern University at Qinhuangdao School of Information Science and engineering Northeastern University

ISBN: (纸本)9781467355339

Power conservation is a challenging accomplishment for wireless sensor network because each sensor node’s power recourses are limited. How to extend the lifetime of the network should be carefully considered in designing wireless sensor network. Sensor Scheduling is an effective method to allocate tasks among sensor nodes. Sensor Scheduling algorithm for target tracking is proposed in this paper. Clustering and is executed to schedule sensor node to track target. during Target tracking, only one cluster is allowed to be active, while the others are in sleep state for saving sensor nodes’ power. Cluster formulation is optimized by Particle Swarm optimization.

关键词： Sensor Scheduling Target Tracking Dynamic cluster

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Flatness Generalized Prediction Control Based on Wavelet Denoising 25th

Flatness Generalized Prediction Control Based on Wavelet Den...

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第25届中国控制与决策会议

作者： Zhao Qiang wang jinkuan Han Yinghua Li Chengtie College of information science and engneering Northeastern university engineering optimization & smart antenna institute Northeastern University at Qinhuangdao

ISBN: (纸本)9781467355339

The delay of flatness measurement signal exists in low-speed cold rolling process, which influences the performance of closed loop control system. In this paper, the flatness generalized predictive control algorithm is proposed. The nonlinear wavelet denoising method is used to filter the noise of the measure data availably. Then the filtered data are applied to recognize the flatness through the model based on multiple linear regression The prediction model of symmetrical and asymmetrical coefficients can be obtained. And then receding horizon optimization and online identification are developed to obtain control sequence. The simulation results exhibit the effectiveness of our method.

关键词： wavelet transform denoise multiple linear regression flatness coefficients receding horizon optimization

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Subcarrier and Power Allocation for OFDM-Based Relay Cognitive Radio System

Subcarrier and Power Allocation for OFDM-Based Relay Cogniti...

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第26届中国控制与决策会议

作者： Lina Fan jinkuan wang Jing Gao College of Information Science and engineering Northeastern University engineering optimization and smart antenna institute northeastern university at qinhuangdao

In this paper, a suboptimal subcarrier and power allocation algorithm has been developed for the orthogonal frequency division multiplexing（OFDM）-based relay cognitive radio systems. The channel capacity of secondary users is maximized while keeping the total interference introduced to primary user less than a given threshold with a specified power. Compared with the other power allocation algorithm, the proposed method can achieve greater channel capacity and has a lower complexity.

关键词： Cognitive radio OFDM and Power allocation

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