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IEEE International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)

作者： Fang Qianxue Wang Yongliang Wang Shouyong College of Electronic Science and Engineering National University of Defense Technology Changsha China Division of Scientific Research Wuhan Radar Institute 430019 China Key Laboratory Wuhan Radar Institute 430019 China

Firstly, aim at the different radar echo characteristic of anti-radar missile (ARM) and its aircraft, a correlative canceller is proposed to restrain the aircraft signal through estimating its Doppler frequency. Then based on the assumption of autoregressive (AR) process noise, a detection algorithm is derived to implement the ARM target detection through Rao test. Simulation experiments show that the correlative canceller can restrain aircraft signal and the ARM signal is lossless; the Rao test method is simple and realizable, however, it almost has the same performance as that of generalized likelihood ratio test (GLRT). Lastly, the boundary of error rate for choosing reference signal is obtained through simulation.

关键词： Testing Aircraft Frequency estimation Radar detection Airborne radar Doppler radar Missiles Noise cancellation Detection algorithms Object detection

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Ancilla dimensions needed to carry out positive-operator-valued measurement

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Physical Review A 2007年第6期76卷 060303(R)-060303(R)页

作者： Ping-Xing Chen János A. Bergou Shi-Yao Zhu Guang-Can Guo Department of Physics Hong Kong Baptist University Kowloon Tong Hong Kong People’s Republic of China Key Laboratory of Quantum Communication and Quantum Computation University of Science and Technology of China Hefei 230026 People’s Republic of China Department of Physics National University of Defense Technology Changsha 410073 People’s Republic of China Department of Physics and Astronomy Hunter College City University of New York 695 Park Avenue New York NY 10021 USA Institute of Theoretical Physics Chinese University of Hong Kong Hong Kong People’s Republic of China

To implement a positive-operator-valued measurement (POVM), which is defined on the dS-dimensional Hilbert space of a physical system, one has to extend the Hilbert space to include dA additional dimensions (called the ancilla). This is done via either the tensor product extension (TPE) or the direct sum extension (DSE). The implementation of a POVM utilizes the available resources more efficiently if it requires fewer additional dimensions. To determine how to implement a POVM with the least additional dimensions is, therefore, an important task in quantum information. We have determined the necessary and sufficient (hence minimal) number of the additional dimensions needed to implement the same POVM by the TPE and the DSE, respectively. If the POVM has n elements and ri is the rank of the ith element, then the dimension of the minimal ancilla is dA=∑i=1nri−dS for the DSE implementation, and this represents a lower bound for the added dimensions in the TPE implementation. In the proof, we explicitly construct the DSE implementation of a general POVM with elements of arbitrary rank. As an example, we determine dA for the unambiguous discrimination of N linearly independent states and provide the full DSE implementation of a state-discriminating POVM for N=2.

关键词： Mathematical operators

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Data dependence-based optimistic data consistency maintenance method

Data dependence-based optimistic data consistency maintenanc...

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6th IEEE International Conference on Computer and Information technology, CIT 2006

作者： Zhou, Jing Wang, Yijie Li, Sikun National Key Laboratory for Parallel and Distributed Processing School of Computer Science National University of Defense Technology China

ISBN: (纸本)076952687X

Data replication introduces well-known consistency issues. This paper puts forward the question about data dependence in data consistency, which embodies pseudo-conflict updates and update dependency. According to that, an optimistic data consistency method is proposed. In our method, data object is partitioned into data blocks by fixed size, as the basic unit of data management. Updates are compressed by Bloom filter technique and propagated in double-path. Negotiation algorithms detect and reconcile update conflicts, and dynamic data management algorithms accommodate dynamic data processing. The results of the performance evaluation show that our method is an efficient method to achieve consistency, good dynamic property, and strong robustness. © 2006 IEEE.

关键词： Information technology

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The Second Law of Thermodynamic in Quantum System

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量子光学学报 2006年第B8期12卷 72-73页

作者： Ping-xing Chen Jian-ming Cai Zheng-wei Zhou Guang-can Guo Key Laboratory of Quantum Information University of Science and Technology of China Chinese Academy of Sciences Hefei 230026 P. R. China Department of Applied Physics National University of Defense Technology Changsha 410073 P. R. China

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New Adaptive Background Suppression Algorithm via One Step M-filter

New Adaptive Background Suppression Algorithm via One Step M...

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2006 8th International Conference on Signal Processing

作者： Moufa Hu Yan Shen Zengping Chen National Key Laboratory of Automatic Target Recognition(ATR) National University of Defense Technology College of Electronic Science and Engineering National University of Defense Technology

Background suppression is a key technique to small and dim targets automatic detection and *** adaptive background estimation is an efficient way to realize this *** this paper,the one step M-filter (OSMF) adaptive background suppression algorithm is *** the algorithm,targets and observing noises are considered as mixed noise interference of the image background and then the true image background is estimated adoptively via Mestimation. Firstly,initial value for background clutters is estimated applying the order statistics filter. Then the final estimation of background clutters is given using the ***,background suppression is done by removing background clutters from original *** proposed method is applied to simulations and real visible image data to demonstrate the robustness and effectiveness of the OSMF.

关键词： image New Adaptive Background Suppression Algorithm via One Step M-filter

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Data Dependence-based Optimistic Data Consistency Maintenance Method

Data Dependence-based Optimistic Data Consistency Maintenanc...

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International Conference on Computer and Information technology (CIT)

作者： Jing Zhou Yijie Wang Sikun Li National Key Laboratory for Parallel and Distributed School of Computer Science National University of Defense Technology China

关键词： Optimization methods Filters Partitioning algorithms Laboratories Distributed processing Computer science Object detection Data analysis Heuristic algorithms Data processing

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New Adaptive Background Suppression Algorithm via One Step M-filter

New Adaptive Background Suppression Algorithm via One Step M...

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International Conference on Signal Processing Proceedings (ICSP)

作者： Moufa Hu Yan Shen Zengping Chen National Key Laboratory of Automatic Target Recognition (ATR) National University of Defense Technology Changsha China College of Electronic Science and Engineering National University of Defense Technology Changsha China

Background suppression is a key technique to small and dim targets automatic detection and tracking. And adaptive background estimation is an efficient way to realize this technique. In this paper, the one step M-filter (OSMF) adaptive background suppression algorithm is presented. In the algorithm, targets and observing noises are considered as mixed noise interference of the image background and then the true image background is estimated adaptively via M-estimation. Firstly, initial value for background clutters is estimated applying the order statistics filter. Then the final estimation of background clutters is given using the OSMF. Finally, background suppression is done by removing background clutters from original images. The proposed method is applied to simulations and real visible image data to demonstrate the robustness and effectiveness of the OSMF

关键词： Clutter Background noise Working environment noise Gaussian noise Signal to noise ratio Wiener filter Target tracking Interference Aerospace control Charge coupled devices

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Clutter Suppression Approach to Airborne Phased Radar with Non-sidelooking Array Based on CMT

Clutter Suppression Approach to Airborne Phased Radar with N...

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International Conference on Signal Processing Proceedings (ICSP)

作者： Wen-Chong Xie Yong-Liang Wang School of Electronic Science and Engineering National University of Defense Technology Changsha China Key Research Laboratory Wuhan Radar Academy Wuhan China

The non-sidelooking array is different from the sidelooking array in that its Doppler frequency of the clutter spectrum varies with the range and its clutter degree of freedom (DOF) is increased, so that the conventional STAP methods are not feasible. The clutter distribution of airborne non-sidelooking array radar is analyzed and investigated in detail, and a new clutter suppression approach to airborne phased radar with non-sidelooking array based on covariance matrix taper (CMT) is proposed. The simulation results verify the effectivity of the method

关键词： Phased arrays Airborne radar Radar clutter Covariance matrix Doppler radar Radar antennas Radar scattering Aircraft Adaptive arrays Geometry

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Optimization of Subarray Partition Based on Genetic Algorithm

Optimization of Subarray Partition Based on Genetic Algorith...

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International Conference on Signal Processing Proceedings (ICSP)

作者： Wen-chong Xie Yong-liang Wang School of Electronic Science and Engineering National University of Defense Technology Changsha China Key Research Laboratory Wuhan Radar Academy Wuhan China

Suboptimum performance may be obtained by partially adaptive processing at the subarray stage where the problem of how to group the subarrays is an important task. In this paper, an effective subarray partition method based on genetic algorithm is proposed, which divides a uniform linear array employing amplitude tapering into contiguous subarrays of unequally sized. In the genetic algorithm, the crossovers are prevented by including an appropriate penalty term in the cost function. The simulation results are given to show that the subarray configuration has few obvious grating lobes while its clutter suppression performance is close to that at the element stage

关键词： Genetic algorithms Gratings Phased arrays Adaptive arrays Linear antenna arrays Spaceborne radar Airborne radar Radar clutter Radar detection Phase detection

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DDD Method Based on Joint Target Cancellation for Circular Array Antennas

DDD Method Based on Joint Target Cancellation for Circular A...

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International Conference on Innovative Computing, Information and Control (ICICIC)

作者： Wenchong Xie Yongliang Wang School of Electronic Science and Engineering National University of Defense Technology Changsha China Key Research Laboratory Wuhan Radar Academy Wuhan China

Circular array antennas have three merits such as all-orientation space scanning, flexible search and track mode and good beam bearing etc. relative to common linear array antennas. However, when conventional space time adaptive processing (STAP) algorithms are used, there may be a small loss in performance when compared with a uniform linear array (ULA). With some care in the choice and implementation of the STAP algorithm, the majority of the degradation is at close ranges, where the target returns are relatively strong. At long ranges performance is barely affected. This paper proposes a novel direct data domain (DDD) method based on joint target cancellation, and the proposed method can enhance the ability of target detection in nonhomogeneous environment in comparison with conventional DDD methods, using a circular antenna array

关键词： Antenna arrays Radar antennas Linear antenna arrays Performance loss Clutter Radar tracking Airborne radar Phased arrays Frequency Spaceborne radar

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