Abstract: To solve the issue of high false-alarm rate and the target missing effect in frequency ambiguous areas during the detection process, a CFAR localization algorithm based on the high dimensional frequency fitting technology is proposed in this paper. F...
Abstract: Through-wall imaging techniques with Ultra-WideBand (UWB) radar are promising candidates for non-destructive detection, especially in disaster areas like calamity rescue scenarios, counter-terrorism and so on. These applications always require high-r...
Abstract: Inverse Synthetic Aperture LADAR (ISAL) can realize high resolution imaging for targets. However, if there are rotating parts in the targets, the echo from rotating parts would influence the imaging for targets. A micro-Doppler feature extraction and...
Abstract: One of the main objectives of High Frequency Surface Wave Radar (HFSWR) is to adapt the spectrum of transmit waveform to avoid narrowband interferences of wireless communication systems. Sparse frequency waveform that contains several individual clea...
Abstract: A fast method in polarimetric Synthetic Aperture Radar (SAR) data simulation for three-dimension forest application is proposed and the difficult application of SAR echo generation process in wide range and high density forest stand is solved. The me...
Abstract: In this paper, influence of azimuth non-uniform sampling on SAR systems with multiple-receive apertures in azimuth is derived theoretically. The analysis shows that several ghosting peaks are presented around the main peak, and at the same time non-u...
Abstract: Airborne cross-track sparse array radar system for downward-looking three-dimensional (3D) imaging is investigated. The sparse array is distributed along the cross-track direction. To improve the transmitting power, orthogonal frequency division sign...
Abstract: For the problem of normal integrator exists serious collapsing loss when detecting spare scatterer targets, and Scatterer Density Depend-Binary Integrator (SDD-BI) exists signal to clutter ratio loss when detecting dense scatterer targets, a Double T...
Abstract: Channel blind equalization algorithm based on Eigen-Decomposition (ED) of data covariance matrix can be applied to calibrate the channel mismatch for multi-channel SAR/GMTI system. However, this algorithm has a disadvantage that it suffers from a slo...
Abstract: The DPC-MAB SAR system enables the reconstruction of the azimuth signal with quite low PRF by coherent process of the multichannel signals, hence relieving the contradiction of the azimuth resolution and the swath for the traditional monochannel SAR....
Abstract: By stitching Doppler Beam Sharpening (DBS) images together, a wide swath ground image is obtained. In practice, however, there are some difficulties in stitching due to the nonideal movement (variation of the velocity vector and the attitude) of the ...
Abstract: High computational complexity is a problem that radar imaging technique based on Compressed Sensing (CS) must overcome for practical applications. In the light of the sparsity of radar target reflectivity, this paper studies 2D joint compressive imag...
Abstract: The Circular Synthetic Aperture Radar (CSAR), unlike the linear SAR, has the capability to extract three-dimensional imaging information of a target scene. In this paper, a novel CSAR wavefront reconstruction method is proposed for three-dimensional ...
Abstract: The similarity measures between SAR images are the basis for target recognition, classification, image registration and so on. The interpretation of SAR images can be improved obviously by defining reasonable and reliably similarity measure. In this ...
Abstract: In this paper, an improved rank-reduction algorithm based on Householder Multi-stage Weiner Filter (Householder-MWF) is proposed for the application of space-time anti-jam in GPS receivers. The new algorithm retains the forward decomposition process ...
Abstract: Multi-target filtering using Probability Hypothesis Density (PHD) in multi-sensor case is based on assumption model to avoid being computationally intractable. Based on describing target state space and sensor observation space by Random Finite Set (...
Abstract: Compressive imaging is a novel imaging method based on compressive sensing theory, the key idea is that it can reconstruct original scene precisely with far fewer measurements than Nyquist samples if the scene is sparse/compressible; Constructing an ...
Abstract: Recently, it is a new direction to improve the performance of image steganalysis by combining the detection of information hidden with image content analysis. Relative to methods depending on entire image, this paper analyzes the effect of LSB (Least...
Abstract: Fractional calculus is widely used in control system theory. Owing to introducing of fractional dynamic system model, searching solution method of fractional state estimation is an urgent issue. Starting from fractional nonlinear dynamic system model...
Abstract: In order to achieve the optimal detection algorithm for interference alignment, a diversity detection algorithm is proposed based on analyzing the feature of signal subspace. In this algorithm, the projection of desired signal onto signal subspace is...
Abstract: In the parallelization of Space-Time Adaptive Processing (STAP) arithmetic, traditional methods schedule the STAP arithmetic to different processors in the specific hardware architecture through coral-granularity division and improve the throughput b...
Abstract: An algorithm of speaker clustering is proposed based on Feature Mean Distance (FMD) for short speech segments. First, a distance measure, i.e. FMD, is introduced to represent the similarities between two clusters on the level of feature instead of th...
Abstract: On the research of compressed sensing, the sparse field by certain transformations is one of the most important factors on signal reconstruction. This paper presents a new united sparsity method based on Linear Prediction Coefficients (LPC) of speech...
Abstract: An - insensitive criterion and structure risk based Radius-Basis-Function Neural-Network (RBF-NN) modeling method is proposed. By -introducing insensitive criterion and the item of structure risk, the RBF-NN learning is transformed into the linear re...
Abstract: A game-theoretic analysis is performed to acquire the equilibrium strategies and their precondition by formalizing the strategies and payoffs of players in the honeypot game. The effectiveness and the deficiency of honeypot are inferred for network c...
Abstract: To address the issue that most link loss rate inference algorithm can not take into account the accuracy and speed, a novel link loss rate inference algorithm of overlay network is proposed. This algorithm converts the link loss rate inference issue ...
Abstract: The relations among objects with secure level are very complex, which leads to the problems of security in multi-level network, such as information leakage by object aggregation. This paper puts forward a level inference method for aggregated informa...
Abstract: In order to reflect the actual channel attenuation, a model selection algorithm for path loss in wireless sensor networks is proposed. Firstly, the statistical properties of some path loss models are analyzed,and then Expectation Maximization (EM) al...
Abstract: In order to estimate the software trustworthiness accurately, a trustworthy behavior model for software monitoring point based on classification attributes is proposed for the software monitoring point in the expected behavior trace of software. Firs...
Abstract: The theory of compressed sensing can be used to reconstruct sparse signals from fewer observations. According to the sparsity of UWB channels, a reduced sampling rate can be obtained at the detector based on compressed sensing frame. In this paper, a...
Abstract: The intrinsic characteristics of wireless Ad hoc network, such as self-organizing, self-configuration and self-adaptation, make this kind of network an attractive solution in several scenarios in which lack of a fixed infrastructure. How to evaluate ...
Abstract: In spectrum sharing cognitive relay networks, due to the presence of imperfect Channel State Information (CSI), the interference from the secondary user can be higher than the maximum allowable interference level at the primary user and affect the pr...
Abstract: As the existing clustering algorithms are lack of effective guidable clustering model, an Degree of Wiliness to Cooperate (DWC) based clustering model is proposed, in which the clustering objective of maximizing the system sum rate is approximately t...
Abstract: Based on the general element active pattern achieved by full wave simulation, a novel Adaptive Dynamic Meta Particle Swarm Optimization (ADMPSO) algorithm is proposed for synthesizing multiple-pattern conformal array. The dominated subgroup and nondo...
Abstract: This paper presents two different dual-band cavity filters based on the frequency transformation. The cavity filters have two different configurations. The one is presented by directed coupling between adjacent resonators, and the other one is presen...
Abstract: To solve the problem of scalability in designing polymorphic self-checking circuits using evolutionary design, a new method based on inputs decomposition and outputs matching is proposed. The system is decomposed into evolvable part and fixed part,an...
Abstract: A new POLSAR dominant scattering mechanism clustering and unsupervised classification method is proposed based on polarimetric scattering similarity and Freeman decomposition models. As polarimetric scattering similarity is roll-invariant and nonnega...
Abstract: The direction of gradient vector is a factor being omitted in traditional seam carving. A new seam carving algorithm is proposed in this paper based on gradient vector direction analysis. A low-pass filter is firstly used on the local gradient vector...
Abstract: Due to the capability of solving the band crowd and good performance in electromagnetic countermeasure, passive radar using illuminators of opportunity is an active research area in recent years. Taking into account the fact that most illuminators of...
Abstract: Consensus problems for mobile multi-agent systems are very practically significant in complicated kinetics systems. A consensus protocol for the first-order and the second-order discrete-time system with diverse delays in directed communication netwo...
Abstract: Based on experimental analysis, this paper firstly find that the throughput of concurrent partial path transfer is better than that of concurrent all path transfer when there are more difference of path characteristic parameters among paths in Concur...
Abstract: A new microstrip vertical transition based on the via in multilayered printed circuit board is proposed for Ultra Wide-Band (UWB) communication. The planar electromagnetic band-gap unit is etched on power plane around the vias to suppress resonance a...