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We consider the linearly constrained separable convex minimization model, whose objective function is the sum of three convex functions without coupled variables. The generalized alternating direction method of multipliers (ADMM) is a very effective approach for solving this kind of problem. Recently, the literature of ADMM focus on three or more blocks. [14] has shown a global linear convergence...
Researches on routing handover are getting more and more in recent years, which leads to several handover principles. A series of developments have been made in routing research field under a single principle. This article puts forward a new strategy ILDRHS (Improved LDRHS) based on LDRHS (Least Delay Routing Handover Strategy). The new one concentrates on the combination of connecting time, delay...
In traffic environment, conventional FMCW radar with triangular transmit waveform may bring out many false targets in multi-target situations and result in a high false alarm rate. An improved FMCW waveform and multi-target detection algorithm for vehicular applications is presented. The designed waveform in each small cycle is composed of two-segment: LFM section and constant frequency section. They...
Before software is released, developers often pack it with a software packer in order to protect the internal design. Many existing packers have been unpacked by crackers. To address this problem, we propose an encryption packer that strengthens confidentiality of the protected PE file with the security token. The packer also incorporates techniques of anti-debugging, anti-dumping, and anti-tracking...
SQL injection attack is one of the most serious security vulnerabilities in Web application system, most of these vulnerabilities are caused by lack of input validation and SQL parameters use. Typical SQL injection attack and prevention technologies are introduced in the paper. The detecting methods not only validate user input, but also use type-safe SQL parameters. SQL injection defense model is...
This paper proposes a receiving nested frequency diverse array (FDA) design scheme. The essence of the proposed technique is to construct a new array structure by systematically nesting two or more uniform linear FDA. Using second-order statistics of the received data, it is capable of providing a significant increasing degrees-of-freedom. The frequency increment across the array results in a scan...
With the increase of pulse density, signal sorting becomes extremely difficult for modern electronic reconnaissance, especially for pulse-compression radar signals. Blind source separation (BSS) is a new developed technology for separating signals from mixed observed data. In this paper, we propose various instantaneous mixing models of pulse-compression radar signals, including linear frequency modulation,...
This paper proposes a knowledge-aided shrinkage interference covariance matrix estimation approach in space time adaptive processing (STAP) which exploits the prior interference covariance matrix based on clutter model as the shrinkage target matrix. The oracle shrinkage coefficient under Gaussian assumption is derived and the estimated consistent shrinkage coefficient is also provided since the true...
To improve the performance of phased array radar for the weak object detection, accumulation process is required to be performed over time to gather sufficient energy. For this purpose, the coherent integration algorithm is studied in this paper. First, a quasi-random pulse train echo model is presented, which divides the pulse train into a few sub-pulse-trains (time is uniform within the sub-pulse-train,...
This work addresses the problem of direction-of-arrival (DOA) estimation in the presence of sensor's gain and phase uncertainties. The main motivation in our work is to explore the signal sparse property. The DOA sparsity is relatively easy to be discovered since the spectrum of signal is sparse in spatial domain. One existing finding on uncertainty matrix is it is a sparse matrix since it only is...
This paper is mainly about a nonlinear control method applied to BTT missile system based on time scale method and dynamic inversion. Firstly, a 6-DOF nonlinear model of Have Dash II missile is established, then the model is divided into two subsystem according to different time scales. Secondly, both subsystem control law are designed based on dynamic inversion. And the sliding mode controller is...
In geosteering drilling technology, the transmission of information measured by near-bit sensor has always been a problem. Downhole drilling tool is a very complex medium for sonic transmission. This paper takes geosteering drilling tool as the study object, and puts forward a method of short distance transmission, which is based on sonic wave transmission theory. The experiment testing the drilling...
The frequency estimation problem is studied in this work in the presence of missing measurements. The approach developed in this work is mainly inspired by sparse signal theory. To find a sparse representation of frequency estimation problem, a DFT-like matrix is created in which the frequency sparsity is discovered. The missing measurements are modeled by a sparse representation as well where missing...
Recovering sparse signals from a few linear measurements is attracting growing attention. Bsides sparsity, the signals usually are nonnegative, nonpositive or restricted in some domain. This paper proposes an algorithm for recovering the sparse signal with some certain property on learning the sparsity. We propose this algorithm by combining the projective method with the iterative hard thresholding...
Video coding has been a very hot area of research for a long time. The latest standard High Efficiency Video Coding (HEVC) outperforms H.264 a lot and needs only half of bit-rate to obtain the same performance. However HEVC is designed for high definition video such as 1080p and above. The high compression rate calls for high complexity, which limits the application in some low bandwidth and low complexity...
When radar traces the target in low altitude, because of multi-path effect, radar echo wave gets interfered and phenomenon of false alarm or false dismissal occurs, which even can lead to losing target. This paper proposes a separating algorithm that utilizes time-frequency clustering characteristic of Fractional Fourier Transform combing features of multi-path signal. The parameter estimation algorithm...
The convolutive blind source separation (BSS) problem can be solved in frequency domain. To solve the permutation ambiguity problem in frequency domain, this paper presents an improved permutation alignment algorithm. According to features of radar signals, first the frequency domain is divided to some region segmentations. Then the permutation alignment is performed in each region independently....
For improving the forecasting accuracy of bank cash flow, a combined model based on back propagation (BP) neural network and grey prediction method is put forward based on the merits and demerits of both BP neural network and grey model prediction method. The proposed method has the advantage of two methods and makes up the deficiencies of single model as well. It can efficiently reduce the influence...
Based on end effects of empirical mode decomposition (EMD) of Hilbert-Huang Transform (HHT) in detecting ultra-wideband (UWB) signal, the non-equidistance grey model (NGM) is analyzed to mitigate end effects of EMD by predicting uncertainly data. Since some extreme points can hardly be detected in particular situation, the modified NGM(1,1)model using Fourier series (TFNGM(1,1)) at time domain is...
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