Specific Emitter Identification (SEI) is the technique that identifies the individual radio emitter using the Radio Frequency Fingerprint (RFF), which are originated from the imperfections and differences of transmitt...
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ISBN:
(纸本)9781509019984
Specific Emitter Identification (SEI) is the technique that identifies the individual radio emitter using the Radio Frequency Fingerprint (RFF), which are originated from the imperfections and differences of transmitters. Previous SEI techniques are sensitive to noise and need enough sampled points. In this paper, a novel SEI approach to extracting fingerprint features of energy envelope of transient signals is proposed. A linear system model is utilized to fit the energy envelope, and the fingerprinting features are constructed by the polynomial coefficients estimated with least-squares algorithm. The results of experiments on actual burst signals demonstrate that the method is effective.
A new collaborative detection method of TDOA (Time Difference of Arrival) and DOA ( Direction of arrival) has been proposed for weak signals. The fuzzy evidence theory is used to fuse the peaks of TDOA correlation and...
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ISBN:
(纸本)9781509037117
A new collaborative detection method of TDOA (Time Difference of Arrival) and DOA ( Direction of arrival) has been proposed for weak signals. The fuzzy evidence theory is used to fuse the peaks of TDOA correlation and the spatial spectrum of MUSIC (Multiple signal Classification). In the paper, the TODA/DOA collaborative detector is designed, the basic probability assignment fuction (mass fuction or BPA fuction) and the membership fuction are used to express the uncertainty of the TDOA and DOA information. Then the information is fused by the D-S combination formula and the rule of game probability distribution is used to get the detection result. At last, the simulation results show that the performance of the detector is better than the traditional TDOA correlation detector.
A new algorithm is proposed in this paper to recognize and classify underwater acoustic signals including underwater acoustic communication signals, active sonar signals, ship-radiating noise and burst ocean ambient n...
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A new algorithm is proposed in this paper to recognize and classify underwater acoustic signals including underwater acoustic communication signals, active sonar signals, ship-radiating noise and burst ocean ambient noise. The paper firstly analyzed the features of underwater acoustic signals in time domain, frequency domain and cyclostationarity domain. At the same time, the way of extracting features about these signals is researched. This algorithm combines the features above and chooses a decision tree classifier to realize the recognition and classification of different underwater acoustic signals. Finally, the effectiveness in different multipath channels is evaluated by simulation. The results have shown that this algorithm is capable of recognizing and classifying different underwater acoustic signals with better performance than algorithms using features in only one domain; and, its performance is robust in a multipath fading environment.
An important step in a multi-sensor surveillance system is to estimate sensor biases from their noisy asynchronous measurements. This estimation problem is computationally challenging due to the highly nonlinear trans...
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This paper firstly gives some necessary conditions on one-Gray weight linear codes. And then we use these results to construct several classes of one-Gray weight linear codes over Z_4 +uZ_4(u^2=u) with type 16^(k_1)8^...
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This paper firstly gives some necessary conditions on one-Gray weight linear codes. And then we use these results to construct several classes of one-Gray weight linear codes over Z_4 +uZ_4(u^2=u) with type 16^(k_1)8^(k_2)8^(k_3)4^(k_4)4^(k_5)4^(k_6)2^(k_7)2^(k_8) based on a distance-preserving Gray map from(Z4 + u Z4)n to Z2n4. Secondly, the authors use the similar approach to do works on two-Gray(projective) weight linear codes. Finally, some examples are given to illustrate the construction methods.
Without actively aligning the reference frames, the reference-frame-independent quantum key distribution (RFI-QKD) can generate secure keys even when the reference frames drift slowly. Here, we propose a new scheme on...
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This paper sums up four security factors after analyzing co-residency threats caused by the special multitenant environment in the *** secure the factors,a multiway dynamic trust chain transfer model was proposed on t...
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This paper sums up four security factors after analyzing co-residency threats caused by the special multitenant environment in the *** secure the factors,a multiway dynamic trust chain transfer model was proposed on the basis of a measurement interactive virtual machine and current behavior to protect the integrity of the system.A trust chain construction module is designed in a virtual machine *** dynamic monitoring,it achieves the purpose of transferring integrity between virtual machine.A cloud system with a trust authentication function is implemented on the basis of the model,and its practicability is shown.
In order to improve the inversion precision ot aerosol mass concentrations based on the particle group light scattering method,the concept that particles through a laser beam are equivalent to an aggregate is proposed...
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In order to improve the inversion precision ot aerosol mass concentrations based on the particle group light scattering method,the concept that particles through a laser beam are equivalent to an aggregate is proposed.A fractal model for aerosol mass concentration using the signal amplitude distribution of aggregates is presented,and then the subsection calibration method is *** experimental results show that the mass concentrations in versed by this model agree well with those measured by the norm-referenced *** average relative errors of the two experiments are 5.6%and 6.0%,respectively,which are less than those obtained by the conventional inversion model.
We introduce the concept of tunable ideal magnetic dipole scattering, where a nonmagnetic nanoparticle scatters lights as a pure magnetic dipole. High refractive index subwavelength nanoparticles usually support both ...
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Seismic inverse problems aim to infer the properties of subsurface geology, such as elastic and petrophysical properties. Existing seismic inversion methods for the joint estimation of these properties are mainly base...
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