With the advance in wireless network technique, its security becomes of paramount importance. Radio Frequency Fingerprint (RFF) is underlying characteristic hardware chains transmitters, which can be used as a unique ID for specific emitter identification (SEI) and non-cryptographic access authentication technology physical layer to enhance security. To date, few studies have extracted inevitable non-linearity transmitter RFF features. Hence, this letter provides novel nonlinear dynamics...

A mixed noise model is proposed and the multi‐frame blind deconvolution used to restore images of space objects under Bayesian inference framework. To minimise cost function, an algorithm based on iterative recursion was proposed. In addition, three limited bandwidth constraints point spread functions were imposed into solution process avoid converging local minima. Experimental results show that can effectively turbulence degraded alleviate distortion caused by noise.

The direction-of-arrival (DOA) estimation for a mixture of completely polarized (CP) and partially (PP) signals is essential, yet it has not been thoroughly explored. This paper presents practical method with enhanced separation this problem. First, the source enumeration CP PP resolved via conducting model order estimations on array covariance matrix smoothed no threshold needed. Then, by utilization feature differences between signals, PP-signal-sensitive cost function free conventional...

Due to the complexity of underwater environments, target recognition based on radiated noise has always been challenging. This paper proposes a multi-scale frequency-adaptive network for recognition. Based different distribution densities Mel filters in low-frequency band, three-channel improved energy spectrum feature is designed first. Second, by combining module, an attention mechanism, and fusion proposed enhance model’s learning ability. Then, model training optimized introducing...

Object tracking in remote sensing videos is a challenging task computer vision. Recent advances deep learning have sparked significant interest algorithms based on Siamese neural networks. However, many existing fail to deliver satisfactory performance complex scenarios due conditions and limited computational resources. Thus, enhancing efficiency improving algorithm responsiveness are crucial. To address drift caused by similar objects background interference image tracking, we propose an...

The sorting of radar signals, as an important part electronic reconnaissance, is the basis and core reconnaissance. But in practical application, there are a large number identical targets only their main lobe pulses intercepted, which brings great difficulty to accurate sorting. In this paper, method pulse correlation proposed. extracted by repetition frequency signal sorted clustering. result shows that case detection with high loss rate, algorithm can achieve better emitter signals Pulse...

In order to denoise different type of noisy signals, the genetic algorithm and sample entropy are applied wavelet transform threshold shrinkage (WTS) method. As is used, parameters needed in WTS, such as function, decomposition levels, functions can be optimized automatically. For measure complexity it adopted fitness function with root mean square error coefficients after before denoising process, so individual evaluated more effectively. The proposed method achieve optimal results for...

Blind Restoration of adaptive optics images is important in the field astronomical imaging and space object surveillance. Using multi frame blind deconvolution as main technique means for high resolution restoration, a general cost function deduced to deconvolve Poisson noise model image under Bayesian-MAP estimate framework. To minimize function, solution algorithm based on alternating recursion method proposed. In addition, asymmetric iteration introduced into process avoid converging...

The resolution of space object images observed by ground-based telescope is greatly limited due to the influence atmospheric turbulence. An improved blind deconvolution method presented enhance performance turbulence degraded restoration. Firstly, a mixed noise model based cost function deduced under Gaussian and Poisson contamination measurement. Then, point spread (PSF) described wavefront phase aberrations in pupil plane according Fourier Optics theory. In this way, estimation PSF...

Blind deconvolution of adaptive optics images plays an important role in the area space object surveillance and astronomical imaging. This paper proposes a high resolution blind restoration method for based on wavelength diversity. Firstly, we utilize Zernike polynomial to establish relation between point extension functions two channel under frame Fourier theory. Secondly, derived general cost function difference image collected by using least square principle. The spread each could be...

Landform elements (e.g. ridge, valley) are the basic morphologic types of earth's surface. All geomorphy formed by different spatial combination landform elements, so foundation studying geomorphy. Using a pre-assigned set topographic attributes derived from digital elevation model (DEM), most existing classification methods likely to encounter problem that local can not catch terrain context well in process mapping. To solve problem, we improve Geomorphons method and propose new based on...

Motivated by local coordinate coding (LeC) theory in nonlinear manifold learning, we proposed a new image representation model called sparse (LSR) for astronomical denoising. Meanwhile, fast approximated LSR method first performing K-nearest-neighbor search and then solving ℓ <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sup> optimization problem is presented under the guarantee of denoising performance. In addition, incorporate adaptive...

Abstract In this paper, we proposed a novel framework for environment perception. The model combines the physio-logical mechanisms of human vision and psychological principle cognitive development. Our algorithm consists two major components, gist module memory module. simulates cognition process associated with visual attention. is simulated by Incremental Hierarchical Discriminant Regression (IHDR) tree, which ensures memories world are distributed over hierarchy. Experimental results on...

Vascular abnormalities are directly related to the tumor immunosuppressive microenvironment, which is an important obstacle effective immunotherapy. The combination of antiangiogenesis therapy and immunotherapy may promote a mutually reinforcing cycle immune reprogramming vascular normalization for increasing effectiveness Herein, hydrogel/nanosystem-mediated combined strategy was performed regulating microenvironment by controlled release apatinib, CD47 antibody (aCD47) CpG. hydrogel with...