Yantai Naval Aeronautical and Astronautical University

Yantai, China

Yantai Naval Aeronautical and Astronautical University

Yantai, China
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Cui J.,Yantai Naval Aeronautical and Astronautical University
Journal of Intelligent and Fuzzy Systems | Year: 2017

Wireless networks, which can be tasked with a target monitoring or tracking mission in various complicated environments, are guiding a revolution of sensing and gathering information, and have a bright future in a wide range of fields. Wireless networks are vulnerable to various types of security threats and pose unique challenges to security techniques due to many factors such as deployment in unattended environments, broadcast nature of the unreliable wireless channel, larger scale and multi-hop networking property in an ad hoc fashion, special data-centric traffic flow model, inter-node unconditional collaborative and trust relationship, and severe resource constraints etc. Therefore, the key issue in further widely application of wireless sensor networks is how to give consideration to both availability and security for wireless networks. In this paper, we investigate the multiple attribute decision making problems with fuzzy linguistic information. Motivated by the ideal of generalized Bonferroni mean, we develop the generalized fuzzy linguistic Bonferroni Mean (GFLBM) operator for aggregating the fuzzy linguistic information. For the situations where the input arguments have different importance, we then define the generalized fuzzy linguistic weighted Bonferroni Mean(GFLWBM) operator, based on which we develop the procedure for multiple attribute decision making under the fuzzy linguistic environments. Finally, we give an illustrative example for evaluating the security of wireless network with fuzzy linguistic information to verify the developed approach and to demonstrate its feasibility and practicality. © 2017 IOS Press and the authors. All rights reserved.


Miao F.-P.,CAS Yantai Institute of Coastal Zone Research | Liang X.-R.,Yantai Naval Aeronautical and Astronautical University | Yin X.-L.,CAS Yantai Institute of Coastal Zone Research | Wang G.,CAS Yantai Institute of Coastal Zone Research | Ji N.-Y.,CAS Yantai Institute of Coastal Zone Research
Organic Letters | Year: 2012

Harzianone (2), a new harziane diterpene, was isolated from an alga-endophytic isolate of Trichoderma longibrachiatum. The structure and absolute configuration of 2 were unambiguously identified by NMR and mass spectrometric methods as well as quantum chemical calculations. The absolute configuration of harziandione (1) was supported by calculation of optical rotation, and the structure of isoharziandione was revised to 1 on the basis of 13C NMR data comparison and calculation. © 2012 American Chemical Society.


Meng X.W.,Yantai Naval Aeronautical and Astronautical University
Digital Signal Processing: A Review Journal | Year: 2010

The clutter map analyzed by Nitzberg, which averages the detector outputs of the same resolution cell over several past scans to set the detection threshold, plays an important role in radar detection fields. In this work, the average detection threshold (ADT) of Nitzberg's clutter map is derived and its steady-state property is analyzed, moreover, the detection performance of Nitzberg's clutter map for Weibull background is analyzed by the importance sampling technique. © 2009 Elsevier Inc. All rights reserved.


Li T.,Yantai Naval Aeronautical and Astronautical University
Key Engineering Materials | Year: 2011

This paper describes the use of FPGA realization of communication stations, then road transport service data method, if duty rate 32Kb/S, usually on duty voice quality ask for much, as long as can understand. Therefore, if duty rates can be lowered into the appropriate data transmission rate by reducing some of the data, the formation of voice, data combined for the road transport, the rate of post-combiner 32Kb / S, telephone channels in the transmission of duty .this paper designed a total of 5 programs, if the rate of the service16Kb/S, the data rate of 9.6Kb/S, 4.8Kb/S program, done simulation, meet design requirements. © (2011) Trans Tech Publications.


Meng X.W.,Yantai Naval Aeronautical and Astronautical University
IEEE Transactions on Aerospace and Electronic Systems | Year: 2013

The binary integration, also known as S out of M detection, is a popular technique by which the detection statistics of a radar can be greatly improved. In this work, the performance of the ordered-static constant false-alarm rate (OS-CFAR) with binary integration for M sweeps in Weibull background is investigated with an assumption of known shape parameter, not only for homogeneous environment, but also for nonhomogeneous background caused by interfering targets and clutter edges. It's shown that the detection performance of the OS-CFAR with binary integration can not only be greatly improved with respect to the OS-CFAR scheme in a single pulse processing situation, but it can also control the rise of the false alarm rate at clutter edges more effectively. Moreover, an analytic expression for the false alarm rate of the OS-CFAR with binary integration for M sweeps in Weibull background is derived. © 1965-2011 IEEE.


Meng X.W.,Yantai Naval Aeronautical and Astronautical University
IET Radar, Sonar and Navigation | Year: 2010

The performance of the ordered-statistic greatest of (OSGO) constant false alarm rate (CFAR) scheme with binary integration for M non-coherent sweeps in Weibull background was investigated for homogeneous and non-homogeneous backgrounds, with an assumption of known shape parameter. This kind of processing is based on the fact that the clutter can be segmented in regions in many real radar scenarios where a timevarying two-parameter distribution function family can be fitted, but the clutter power may vary locally inside the region. Under the assumption of known shape parameter, the authors examined the changes of the false alarm rate and detection probability of the OSGO-CFAR with binary integration when the shape parameter differs from the nominal one, and compared them to those of the OSGO-CFAR with single pulse processing. The authors have derived analytic expressions of the detection probability and false alarm rate during clutter power transitions for the OSGO-CFAR with binary integration in Weibull background. It is shown that the OSGO-CFAR with binary integration can not only improve the detection performance significantly, but it also control the rise of the false alarm rate at clutter edges more effectively compared to the OSGO-CFAR with single pulse processing. Moreover, it exhibits a good immunity to the variation of the shape parameter. © The Institution of Engineering and Technology 2010.


Chen X.,Yantai Naval Aeronautical and Astronautical University | Guan J.,Yantai Naval Aeronautical and Astronautical University | Bao Z.,Yantai Naval Aeronautical and Astronautical University | He Y.,Yantai Naval Aeronautical and Astronautical University
IEEE Transactions on Geoscience and Remote Sensing | Year: 2014

In order to effectively detect moving targets in heavy sea clutter, the micro-Doppler (m-D) effect is studied and an effective algorithm based on short-time fractional Fourier transform (STFRFT) is proposed for target detection and m-D signal extraction. Firstly, the mathematical model of target with micromotion at sea, including translation and rotation movement, is established, which can be approximated as the sum of linear-frequency-modulated signals within a short time. Then, due to the high-power, time-varying, and target-like properties of sea spikes, which may result in poor detection performance, sea spikes are identified and eliminated before target detection to improve signal-to-clutter ratio (SCR). By taking the absolute amplitude of signals in the best STFRFT domain (STFRFD) as the test statistic, and comparing it with the threshold determined by a constant false alarm rate detector, micromotion target can be declared or not. STFRFT with Gaussian window is employed to provide time-frequency distribution of m-D signals, and the instantaneous frequency of each component can be extracted and estimated precisely by STFRFD filtering. In the end, datasets from the intelligent pixel processing radar with HH and VV polarizations are used to verify the validity of this proposed algorithm. Two shore-based experiments are also conducted using an X-band sea search radar and an S-band sea surveillance radar, respectively. The results demonstrate that the proposed method not only achieves high detection probability in a low-SCR environment but also outperforms the short-time Fourier transform-based method. © 1980-2012 IEEE.


Guan J.,Yantai Naval Aeronautical and Astronautical University | Zhang X.,Yantai Naval Aeronautical and Astronautical University
Signal Processing | Year: 2010

For the detection problem caused by the point target broken up into the distributed target in the high-range resolution radar system, adaptive detection algorithms based on the Rao and the Wald tests are proposed. The distributed target, which is modeled as a subspace random signal, may be distributed both in range and also in Doppler frequency axes. The clutter is modeled as a spherically invariant random process (SIRP). The unknown parameters are estimated by maximum likelihood estimation only under hypothesis H 0 in Rao test, while only under hypothesis H 1 in Wald test. Interestingly the proposed non-adaptive detectors from different deriving progresses have the same final form, which perform an incoherent processing over all the cells under test and ensure CFAR property with respect to the unknown statistics of the clutter texture component. In the end, performances of the proposed adaptive detectors are assessed through Monte Carlo simulations and are shown to have better detection performance compared with existing similar detectors. © 2010 Elsevier B.V. All rights reserved.


Wang X.,Yantai Naval Aeronautical and Astronautical University | Cheng Z.,Shandong University
IEEE Transactions on Automatic Control | Year: 2013

This technical note studies the synchronization of coupled discrete-time harmonic oscillators with rational frequency under switching topology. The remarkable feature of this problem is that the conditions that merely involve the connectivity structure of topology does not suffice for synchronizing the oscillators. We propose a frequency dependent topology condition that indicates in what way the topology switches, and introduce firmly nonexpansive mapping (FNM) from functional analysis. Under the condition, the synchronization of coupled oscillators is related to an infinite product of FNMs, which share only one zero common fixed point. By a convergence result on infinite product of a finite number of FNM, we present a synchronization result for the coupled oscillators. Finally, a simulation example is given to illustrate the effectiveness of the result. © 1963-2012 IEEE.


Chen X.,Yantai Naval Aeronautical and Astronautical University | Guan J.,Yantai Naval Aeronautical and Astronautical University | Liu N.,Yantai Naval Aeronautical and Astronautical University | He Y.,Yantai Naval Aeronautical and Astronautical University
IEEE Transactions on Signal Processing | Year: 2014

Long-time coherent integration technique is one of the most important methods for the improvement of radar detection ability of a weak maneuvering target, whereas the integration performance may be greatly influenced by the across range unit (ARU) and Doppler frequency migration (DFM) effects. In this paper, a novel representation known as Radon-fractional Fourier transform (RFRFT) is proposed and investigated to solve the above problems simultaneously. It can not only eliminate the effect of DFM by selecting a proper rotation angle but also achieve long-time coherent integration without ARU effect. The RFRFT can be regarded as a special Doppler filter bank composed of filters with different rotation angles, which indicates a generalization of the traditional moving target detection (MTD) and FRFT methods. Some useful properties and the likelihood ratio test detector of RFRFT are derived for maneuvering target detection. Finally, numerical experiments of aerial target and marine target detection are carried out using simulated and real radar datasets. The results demonstrate that for integration gain and detection ability, the proposed method is superior to MTD, FRFT, and Radon-Fourier transform under low signal-to-clutter/noise ratio (SCR/SNR) environments. Moreover, the trajectory of target can be easily obtained via RFRFT as well. © 1991-2012 IEEE.

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