Abstract: Traditional frequency agility ISAR imaging method suffers from high sidelobe and low resolution. To improve the resolution, by exploiting the sparsity of targets in the received echo, this paper uses the sparse Bayesian algorithm, namely Expansion-Co...
Abstract: For distributed aperture coherent radar with cooperative architecture and pulse trains, the signal mode in fully coherent work mode is proposed firstly. Then the analysis formula of output Signal-to-Noise Ratio gain (oSNRg) is derived, and the perfor...
Abstract: Concerned with the influence of multipath, this paper proposes a spatially differencing smoothing technique for the low-elevation estimation in the bistatic MIMO radar under the spatially colored noise. Firstly, the multipath environment for a low-el...
Abstract: The model-based target decomposition is one of the most fundamental applications to the polarimetry SAR. However, it can only retrieve the power information of three scattering mechanisms with polarimetric SAR data. By applying this model-based decom...
Abstract: In target recognition community, when dealing with large-scale and complex distributed data, it is very expensive to train a classifier using all input data and the underlying structure of the data is ignored. To overcome these limitations, the Mixtu...
Abstract: Due to the disadvantages of a traditional GPS receiver in the environment of weak signal are that slow convergence rate and serious tracking error, a GPS signal tracking algorithm is proposed, in which the coherent integration of I/Q branch is consid...
Abstract: In order to meet the needs of high speed and real-time, all-weather, high-precision and large-scale ranging, the method of continuous microwave radar with amplitude modulation is proposed. Based on the analysis of the characteristics of the main micr...
Abstract: The topology information of the targets observed by sensors can be used to solve the track association problem under the condition of systematic bias. However, the traditional algorithms dont make full use of track information and are not fit for the...
Abstract: For multi-target tracking in heavily cluttered environment, the number of measurement-to-track association hypotheses in each scan grows rapidly in traditional Centralized Multi-Sensor Multiple Hypothesis Tracking (CMS-MHT) method, which leads that t...
Abstract: In order to reserve ship targets and reduce sea clutters as the false alarms from the SAR Regions Of Interest (ROI) chips, a ship discrimination feature named Target Pixel Aggregative Measure (TPAM) is proposed in this paper. Benefited from the techn...
Abstract: From the SAR imaging model, combining the scattering center theory, this paper estimates scattering centers of high resolution image from the low resolution image under the conditions of sparse. The Region Of Interesting (ROI) can be reconstructed by...
Abstract: How to reduce the storage and transmission cost of mass hyperspectral data is concerned with growing interest. This paper proposes a hyperspectral data compression algorithm using sparse representation. First, a training sample set is constructed wit...
Abstract: A novel Time Differences Of Arrival (TDOA) localization algorithm based on linear-correction is proposed to address the nonlinear problem of TDOA positioning. Firstly, the proposed algorithm reformulates the highly nonlinear TDOA equations into a set...
Abstract: NYquist Folding Receiver (NYFR) is a novel ultra-wideband receiver structure, which can sample a large range wideband signal by using a single ADC. The Synchronous NYquist Folding Receiver (SNYFR) is an improved structure of NYFR. In this paper, a ne...
Abstract: From a Bayesian perspective, the commonly used sparse recovery algorithms, including Sparse Bayesian Learning (SBL), Regularized FOCUSS (R_FOCUSS) and Log-Sum, are compared. The analysis shows that, as a special case of latent variable Bayesian model...
Abstract: Weak signal detection and high SNR seismic image generation are primary tasks in detailed sub-bottom profile detection. After analyzing the principle of deconvolution based on Fractional Fourier Transform (FrFT) and deriving the formula of time dimen...
Abstract: For modeling and solving problems of complex nonlinear systems whose input/output have uncertainty and are associated with time or process, a cloud process neural network model is built in the paper. It has uncertainty information processing ability ...
Abstract: Considering the limitation of the well-known multiple model formulation of the Random Finite Set (RFS) that the statistics characteristic of clutter is assumed to be known a priori, this paper proposes a new multiple maneuvering target tracking algor...
Abstract: Many measures, e.g., Maximal Information Coefficient (MIC), are presented to identify interesting correlations for pairs of variables, but few for triplets or even for higher dimension variable set. Based on that, the Maximal Information Entropy (MIE...
Abstract: In the field of saliency detection, background prior has become a novel viewpoint, but how to identify the real background is challenging. In this paper, a background-identified method is proposed based on homology continuity using the extracted back...
Abstract: Most of the existing Independent Component Analysis (ICA) based motion detection algorithms use a single observation vector generation method and two-channel data for motion detection, which make the traditional algorithms unable to obtain a more com...
Abstract: The current mainstream intelligent Fuzzing often constructs new test samples through precise analysis of the programs internal structure, which is heavily dependent on the performance of the computer and often overlooks the guiding significance of th...
Abstract: Traditional encryption schemes are largely based on the two stepsconfusion and diffusion proposed by Shannon. It is proved by experiments that encryption designed on bit level is more efficient. An encryption scheme based on DNA coding, codon groupin...
Abstract: In a typical cognitive wireless network, multiple secondary users compete to rent for the sub-bands in the authorized spectrum of primary users to transfer data. This paper focuses on simultaneously maximizing the payoff of both primary users and sec...
Abstract: The outage probability of a dual-hop MIMO Amplify-and-Forward (AF) relay network with beamforming technique is investigated, where the source, relay and destination are all equipped with multiple antennas. By supposing that the Maximal-Ratio-Transmis...
Abstract: In order to improve the reconstruction accuracy of smoothed l0-norm (Sl0) algorithm in the presence of noise, a modified algorithm named smoothed l0-norm regularized least-square (l2-Sl0) is proposed in this paper, which permits a small perturbation....
Abstract: Traditional Soft Frequency Reuse (SFR) can not adapt to dynamic traffic distribution in Long Term Evolution (LTE) systems, leading to imbalanced spectral efficiency in cell center and edge area. In order to solve this problem, this paper proposes a D...
Abstract: The design of soft-input soft-output Frequency Domain Equalizer (FDE) is explored by using message passing methods for MIMO Single Carrier-Cyclic Prefix (SC-CP) systems. A novel low-complexity MIMO Turbo frequency domain equalization scheme is propos...
Abstract: Using multiple transmit antennas to guarantee the information security is one of the common methods in the field of physical layer security communication. However, this method leads to the transmit signal with the drawback of high Peak-to-Average Pow...
Abstract: In wireless networks, when using traditional game studying physical layer security, the energy-limited transmission nodes tend to choose a non-cooperative strategy in order to maximize their own secrecy rate, resulting in reduced network secrecy rate...
Abstract: According to the data spatial correlation of Wireless Sensor Networks (WSNs), this study proposes a clustering mechanism based on the data gradient. In the proposed clustering mechanism, the cluster head nodes maintain Auto Regressive (AR) prediction...
Abstract: Discrete Cosine Transform (DCT) plays an important role in the codec process of video signals, and has a significant influence on the compression efficiency and quality. In this paper, a Coarse-Grained Reconfigurable Array (CGRA) based hardware archi...
Abstract: Based on the sub-cell Finite-Difference Time-Domain (FDTD) method, an equivalent field-to-line coupling numerical model for transmission line common-mode electromagnetic leakage is provided to calculate the inductive coupling and capacitive coupling ...
Abstract: The highly nonlinearity and non-uniqueness of the geoelectric model constrain the application of simulated annealing method in the Time-domain ElectroMagnetic (TEM) explorations. A simulating annealing inversion method is presented to get the geoelec...
Abstract: A basic premise for Modulated Wideband Converter (MWC) applying to spectrum sensing is that the signal spectrum is sparse. Otherwise, the reconstruction result will be incorrect. A method of judging whether the reconstruction is successful is propose...
Abstract: Since the birth of the high-speed railway, it is growing with the mobile communication demand of train to wayside. One part of traffic load demand is from the train control and train dispatching, which is an important part of the high-speed railway. ...