An omnidirectional dual-band dual circularly polarized (CP) antenna with wide beam radiation patterns using TM <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">01</sub> and xmlns:xlink="http://www.w3.org/1999/xlink">02</sub> modes is investigated. The proposed composed of a circular patch eight curved slots disk-loaded coaxial probe. horizontal vertical polarizations are obtained by the currents flowing on probe, respectively. Omnidirectional CP...

Traditional visual simultaneous localization and mapping (SLAM) systems mostly based on small-area static environments. In recent years, some studies focused combining semantic information with SLAM. However, most of them are hard to obtain better performance in the large-scale dynamic environment. And accuracy, rapidity system still needs strengthen. this paper, we develop a more efficient SLAM two-wheeled mobile robot by using segmentation recognize people, chairs, other objects every...

With regard to inverse synthetic aperture radar (ISAR) imaging, traditional range-Doppler (RD) algorithm is inapplicable sparse aperture. Although compressive sensing (CS) can overcome this problem, the imaging resolution not high enough. When deep learning (DL) applied ISAR some problems may also occur, such as network complexity, selection of labels in training, influence noise and aperture, loss weak scattering points test. In order solve above problems, a joint fast iterative...

A circular patch antenna based on open elliptical-ring slots and shorting vias with conical radiation patterns is proposed.Fed by the coaxial probe at center of patch, proposed excited three resonant modes, simultaneously.The first mode (monopolar mode) achieved six vias, each which placed slot.By embedding other two modes slot resonator, TE 110 210 , can also be excited.Due to symmetrical these produce patterns, their frequency ratio tuned adjusting size slots.The fabricated measured.The...

The root-associated microbiota has a close relation to the life activities of plants, and its composition is affected by rhizospheric environment plant genotypes. Rice (

Compressive sensing (CS)-based methods have been widely used for sparse inverse synthetic aperture radar (ISAR) imaging. However, many CS-based are sensitive to the selection of model parameters, and residual phase error echo also causes trouble imaging autofocusing. To address these problems, a novel deep learning approach, named as 2-D-IADIANet, is proposed achieve 2-D ISAR with estimation in this article. First, into account established, alternating direction method multipliers (2-D-ADMM)...

Accurate translational motion compensation (TMC) is the key procedure of inverse synthetic aperture radar (ISAR) imaging. Under condition sparse aperture, correlation adjacent pulses severely destroyed, which brings a few challenges to TMC and Thus, this paper proposes novel method for ISAR In technique, signal model joint phase adjustment imaging established first. Then, process designed. That is, after range alignment with improved global minimum entropy (IGME), fast orthogonal matching...

In view of inverse synthetic aperture radar (ISAR) imaging, sparse not only affects the imaging quality traditional range Doppler (RD) algorithm but also increases difficulty translational motion compensation (TMC). For purpose reducing influence errors on target reweighted alternating direction method multipliers (RADMM) is proposed to realize joint processing phase adjustment and ISAR imaging. Combined with pattern-coupled structure (PCSS) information target, l1 norm minimization problem...

The Ethernet passive optical network (EPON) is an emerging broadband access networking technology that offers flexible bandwidth with simplicity, reliability and cost effectiveness. automated discovery of units (ONU) the coordination operation between ONU line termination (OLT) mandate multi-point control protocol (MPCP). auto-discovery mechanism for finding newly attached as well reconnecting active (or recovered) in case service interruptions. On basis IEEE 802.3ah MPCP, this paper...

Although compressed sensing inverse synthetic aper- ture radar (ISAR) imaging methods are widely used in signal processing, its reconstructing time and memory storage space requirements very high.The main reason is that large scene reconstruction needs a higher dimension of the matrix.To reduce this limitation, fast high resolution ISAR method, which based on segmentation for random chirp frequencystepped signals, proposed.The idea to solve problems aforementioned.In firstly, observed...

Abstract A signal time‐frequency results inversion method is proposed for extracting micro‐motion features of rotor targets under low signal‐to‐noise ratios (SNRs). In the case SNRs, echo's energy mainly concentrated in flash's echo component. Conventional feature extraction primarily utilises sinusoidal modulation results, whose much lower than flash. Under will be submerged noise, making challenging. deep learning network used to inverse containing based on results. Based GS‐IRadon...

This paper thoroughly investigates the occurrence of flash phenomenon in rotor targets. The is discernible targets across time and frequency domains. characterized by modulation signal amplitude through Singer function, resulting periodic peaks domain. appearance these domain corresponds to presence a corresponding band time–frequency influence interference between scattering points on phase echo investigated employing point model analytical expression as foundations. A more comprehensive...

For inverse synthetic aperture radar (ISAR) imaging of targets with micromotion parts, the removal micro-Doppler (m-D) effects is key procedure. However, under condition a sparse aperture, echo pulse limited or incomplete, giving rise to difficulty eliminating m-D effects. Thus, novel algorithm proposed, which can effectively eliminate effects, as well interference introduced by noise and in ISAR image main body. The proposed mainly includes two processing steps. First, combined cut-off...

Abstract Sparse inverse synthetic aperture radar (ISAR) imaging can be generally achieved by compressed sensing (CS) methods because sparse sampling disables the approach of conventional range Doppler. However, CS‐based have to convert matrix into a vector when random is adopted, which results in huge memory usage and high computational complexity. Note that completion (MC) suitable for operations, recover data directly based on low‐rank property echo matrix. In order improve performance MC...

The atomic norm minimization (ANM) based gridless recovery approaches can completely obviate the grid mismatch problem of discrete compressed sensing methods by working directly on a continuous dictionary, which have attracted considerable interest in sparse inverse synthetic aperture radar (ISAR) imaging. In order to exploit joint sparsity multiple measurement vectors (MMV), MMV-ANM approach for ISAR imaging with stepped frequency signal is proposed this paper. By reformulating range echoes...

In order to solve the problems in manual detection of LQFP chip defects, an automatic system pin defects based on machine vision is designed. The can use ARM-DSP dual-core architecture rapidly realize image acquisition, processing, feature extraction and peripheral applications. And then a fast segmentation algorithm dynamic threshold designed obtain image. be realized by using methods such as grayscale transition detector detect midpoint, midpoint line fitting spacing statistics....

An iteratively reweighted complex approximate message passing algorithm is proposed for cluster sparse inverse synthetic aperture radar imaging. The improves the recovery performance of signal. A pattern-coupled weight update rule introduced to establish a coupling relation between sparsity patterns neighboring coefficients. Real data results demonstrate superior reconstruction in terms accuracy and computation time.

AbstractThe efficient iterative method of moments and physical optics (EI-MoM–PO) hybrid formulation combined with the best uniform approximation is proposed to analyze antenna array around electrically large platform in this paper. In conventional MoM–PO method, computation mutual interaction matrix between MoM PO region very time consuming. To facilitate analysis problems, EI-MoM–PO provides a possible way avoid calculation contribution form. On other hand, utilized obtain frequency...

Compressive sensing (CS) has attracted much interest since it can be used to improve inverse synthetic aperture radar (ISAR) imaging. The complexity and robustness of imaging algorithm are two important aspects in CS-based ISAR In this paper, a fast complex approximate message passing (FCAMP) is presented overcome strong noise high-complexity for high resolution bistatic (B-ISAR) Approximate (AMP) extended the field realizing reconstruction B-ISAR calculation matrix-vector multiplication...