A wideband composite right/left handed transmission line (CRLH-TL) antenna with cavity-backed substrate integrated waveguide (SIW) is proposed in this letter. This proposed antenna consists of a 2×2 array of mushroom unit cells, feeding line and cavity-backed SIW. By introducing SIW structure both impedance and gain of the antenna are improved. The proposed antenna has average gain of 7 dBi (peak measured gain 9.5 dBi), wide -10 dB impedance matching bandwidth of 55% from 5.2 GHz to 8.3 GHz, small size of 40 mm×50×4 mm, high integration ability, and reduced back radiation.

In this paper, a grade nested array constituted by a uniform linear array and a grade linear array with uniformly increasing inter-element is presented. The closed-form expression of the proposed array geometries and corresponding direction-of-arrival (DOA) estimation algorithm are derived. Theory analysis certifies that the proposed grade nested array can provide higher degrees of freedom (DOF) than some existing nested arrays. Some simulations are also presented to demonstrate the improved performance of the proposed nested array for DOA estimation of quasi-stationary signals.

This paper proposes a morphological ultra-wideband (UWB)-radar-based respiratory signal model. According to the detection theory, it is crucial to set up an appropriate model to fulfil the detection purpose. Previous models pay less attention on the time dimension of the respiratory signal, but the frequency domain cannot precisely describe it because of its non-linearity and non-stationarity. This model uses a morphological operator to dilate or erode the base wavelet, and the length and value of the digit in the structure element serve as the parameters in this morphological model. The result of the experiment carried out on 10 human targets with impulse radio ultra-wideband (IR-UWB) radar proves the efficiency of this model. As the UWB radar sensed human respiratory signal is nonlinear and non-stationary, the parameters in the model can be regarded as a measure of non-linearity and non-stationarity. An experiment is carried out with the simulated respiratory signal generated with the proposed model. The result shows that the detection algorithm based on Ensemble Empirical Mode Decomposition (EEMD) method has a better performance than that based on Adaptive Line Enhancer (ALE) and with the value of the digit in the structure element increases, the performance of the ALE method declines, while the EEMD method stays in a good performance, which indicates that the EEMD method has a good potential to deal with the nonlinear and non-stationary respiratory signal.

In this paper, a dual-band stub (DBS) comprising one lumped kernel circuit unit cell (KCUC) and two distributed uniform transmission lines is presented. An odd-even mode resonant frequency ratio (OEMRFR) is introduced, which can determine all the element values in the DBS circuit model. Its phase and impedance bandwidth properties are extracted based on the image parameter theory. By adjusting the OEMRFR value, the second working bandwidth and structural size can be controlled simultaneously. On the other hand, the input and output space mapping (IOSM) is exploited to realize a planar microstrip DBS by transferring the lumped KCUC into a quasi-lumped formation. The established ISOM design process is fully automated and can generate the finalized DBS layout with just a few full-wave simulations. A DBS operative at WLAN dual frequencies of 2.4/5.8 GHz with extended bandwidth is designed as an example. Good agreement between the measured and simulated results justifies both the extracted dual-band performance of the proposed DBS and its customized IOSM design process.

Magnetic resonant wireless power transfer (WPT) is an emerging technology that may create new applications for wireless power charging. However, low efficiency resulting from resonant frequency drift is a main obstructing factor for promoting this technology. In this paper, a novel method of coordinating the operating frequency and load resistor is proposed to prevent frequency drift. The system efficiency and input impedance are obtained by solving the system equivalent equations. In addition, the new resonant frequencies can be obtained by solving the input impedance equations. Moreover, the process of the coordination method is illustrated. When resonant frequency drift occurs, the system can now operate at the resonant state, and the efficiency can be improved by using the proposed method. The WPT system via magnetic resonance coupling is designed. Simulated and experimental results validating the proposed method are given.

The incorporation of Electromagnetic Band Gap (EBG) unit cells, a type of metamaterials, with a dual band array antenna is proposed. By configuring the band gap of EBG cells accordingly, the pattern of the array antenna is successfully reconfigured at lower band of 2.4 GHz while maintaining the pattern at higher band of 5.8 GHz. Three pattern directions have been achieved: initial radiation pattern, 349-degree shift and 11-degree shift of the H-field. The array antenna is also frequency reconfigurable by suppressing the radiation pattern of the antenna in four different EBG cells configurations. In pattern shifting mode, the realized gain of the antenna is satisfactorily maintained and is comparable with the standalone of dual band array antenna with the range of gains from 5.08 dBi to 6.14 dBi and 7.83 dBi at 5.8 GHz.

A low computational complexity direction of departure (DOD) and direction of arrival (DOA) estimation method is derived for bistatic multiple-input multiple-output (MIMO) radar. In this method, we propose a novel bistatic MIMO radar geometry with one transmit array and two subarrays at the receive array, based on which the cross-correlation matrix is constructed. The DODs and DOAs can be estimated without eigendecomposition, thereby signicantly reduce computational burden. Moreover, the DODs and DOAs can be paired automatically. Simulation results verify that the proposed method holds better performance than the unitary estimation of signal parameters via rotational invariance technique and joint diagonalization direction matrix method.

Improvement of properties of polymeric materials through blending is a way to obtain products with highly adapted performance for specific applications. The present work reports the design and preparation of binary blend films of poly (ethylene-co-methacrylic acid) neutralized using sodium salt (EMAANa) and nano polyaniline doped with hydrochloric acid (nano PANI-HCl) or toluene sulfonic acid (nano PANI-TSA) with the aim of achieving improved thermal stability, DC conductivity and electromagnetic interference (EMI) shielding effectiveness (SE) of EMAANa. The binary blends were prepared by solution blending using a solvent mixture of toluene/1-butanol (90:10) at 65 °C. The hybrid materials were characterized and evaluated by FTIR, UV-Vis spectroscopy, XRD spectroscopy and thermogravimetric analysis (TGA). The electrical conductivity of the PANI and PANI/EMAANa blends was measured by four-probe method. The EMI shielding effectiveness was studied using a wave-guide coupled to an Agilent Synthesized Sweeper 8375A and a Hewlett-Packard spectrum analyzer 7000 in the X band frequency range (8-12 GHz). FTIR indicates a π-π and hydrogen bonding interaction between PANI and EMAANa, enabling the PANI to be adsorbed in the ionomer. The TGA of the blends show similar weight loss pattern with nano PANI-TSA-EMAANa exhibiting slightly lower weight loss below the decomposition temperature. The TGA results show that thermal stability of the blends is better compared to pure EMAANa. The results of measurements of electrical conductivity and EMI SE demonstrates that PANI was successfully blended into the EMAANa substrate.

With combining the advantages of the hybrid excited synchronous machine and claw pole machine, hybrid excitation claw-pole synchronous machine (HECPSM) exhibits merits of controllable flux operation and independent flux paths. One novel wide range adaptive speed region control strategy is proposed in this paper, based on the analysis of the field control capability of HECPSM and the space vector control. Independent control methods of maximum torque per ampere (MTPA), space vector and minimum copper loss (MCL) control were employed for the proposed machine during three different speed regions in order to obtain satisfied performance in the whole speed range. The correctness and effectiveness of the proposed adaptive speed region control strategy and drive system design were verified by simulation and experimental results, which demonstrated that the proposed control strategy maximized the range of speed regulation while exhibiting the high efficiency.

In this paper, the impact of decoupler type has been analysed on the performance of planar inverted-F antenna (PIFA)-based multiple-input multiple-output (MIMO) antenna. A T-type and a loop-type decoupler have been employed for the isolation of the MIMO antennas, and the performances of the two cases have been compared. The decouplers have been selected based on their different coupling mechanisms with the dominant ground mode. The antennas have been designed for the ground configuration of a USB dongle operating at 2.45 GHz band. Characteristic mode analysis of the ground plane has been carried out, and the MIMO systems have been analysed based on the coupling among the antenna, decoupler and the dominant characteristic mode of the ground plane. It has been observed that the coupling between the decoupler and the ground mode significantly affects the radiation efficiency as well as the diversity performance of the MIMO antenna.

With the increasing number of mobile phone users, new services and mobile applications, the proliferation of radio antennas has raised concerns about human exposure to electromagnetic waves. This is now a challenging topic to many stakeholders such as local authorities, mobile phone operators, citizen and consumer groups. The study of the spatial and temporal variability of the actual downlink exposure is a very important requirement to find an accurate exposure assessment. In this paper, a concept of exposure areas linked to specific variations of the electric field is introduced. Then a measurement campaign of the temporal variability of the electric field in urban environment is presented, considering different technologies and mobile operators in the previously defined exposure areas. This study allowed to determine updated daytime and nighttime exposure profiles. A second result yielded the averaging duration needed to reach a stable evaluation of the electric field exposure levels, inside each exposure area and according to each technology.

This paper presents a novel dual-band bandpass filter by utilizing a new dual-mode resonator and a pair of single-mode split-ring resonators. The center frequencies and bandwidths of both passbands can be independently adjusted without affecting each other. Meanwhile, a capacitive source-load coupling is introduced to create transmission zeros near the passband edges, and the filter can obtain high skirt-selectivity. Such a dual-band bandpass filter operating at 3.5 GHz and 5.85 GHz with compact size is designed and fabricated.

In this article, a couple of UWB antennas are presented. These antennas have the shape of two overlapped circles. The presented antennas are polarization diversity antennas with and without dual band reject filters. Measurements show that the antennas work well within the whole UWB. Antennas have practical reflection parameters S₁₁ and S₂₂ lower than -10 dB, practical coupling parameters S₁₂ and S₂₁ lower than -15 dB, an Envelope Correlation Coefficient lower than 0.015 and a diversity gain between 9.97 to 9.99 dB. Simulations of the antennas are done using the CST software.

This paper proposes a novel source reconstruction method (SRM) based on the convolutional neural network algorithm. The conventional SRM method usually requires the scattered field data oversampled compared to that of target object grids. To achieve higher accuracy, the conventional SRM numerical system is highly singular. To overcome these difficulties, we model the equivalent source reconstruction process using the machine learning. The equivalent sources of the target are constructed by a convolutional neural networks (ConvNets). It allows us to employless scattered field samples or radar cross section (RCS) data. And the ill-conditioned numerical system is effectively avoided. Numerical examples are provided to demonstrate the validity and accuracy of the proposed approach. Comparison with the traditional NN is also benchmarked. We further expand the proposed method into the direction of arrival (DOA) estimation to demonstrate the generality of the proposed procedure.

This paper addresses the problem of target detection in adaptive arrays in situations where only a small number of training samples is available. Within the framework of two-stage adaptive detection paradigm, the paper proposes a class of rapidly adaptive CFAR (Constant False Alarm Rate) detection algorithms, which are referred to as joint loaded persymmetric-Toeplitz adaptive matched filter (JLPT-AMF) detectors. A JLPT-AMF detector combines, using a joint detection rule, individual scalar CFAR decisions from two rapidly adaptive two-stage (TS) detectors: a TS TAMF detector and a TS LPAMF detector. The former is based on a TMI filter, which is an adaptive array filter employing a Toeplitz covariance matrix (CM) estimate inversion. The latter is based on an adaptive LPMI filter that uses diagonally loaded persymmetric CM estimate inversion. The proposed class of adaptive detectors may incorporate any rapidly adaptive TS TAMF and TS LPAMF detectors, which, in turn, may employ any scalar CFAR detection algorithms that satisfy an earlier derived linearity condition. The two-stage adaptive processing structure of the JLPT-AMF detectors ensures the CFAR property independently of the antenna array dimension M, the interference CM, and the number of training samples N_CME to be used for estimating this CM. Moreover, the rapidly adaptive JLPT-AMF detectors exhibit highly reliable detection performances, which are robust to the angular separation between the sources, even when N_CME is about m/2 ~ m, m is the number of interference sources. The robustness is analytically proven and verified with statistical simulations. For several representative scenarios when the interference CM has m dominant eigenvalues, comparative performance analysis for the proposed rapidly adaptive detectors is provided using Monte-Carlo simulations.

In this paper, a novel dual-band scheme is proposed and analyzed for dual-band magnetic resonant wireless power transfer. The scheme consists of a novel resonant coil structure for dual-band resonance and a coupling loop for dual-band impedance matching. Circuit-based analysis and experiments verify that our scheme can achieve dual-band power transfer easily and effectively, with its dual-band reflection coefficient lower than -18 dB and transmission efficiency over 37.21% at a distance of 20 cm at 6.78 MHz and 13.56 MHz.

In this letter, a tuning fork shaped, differential dipole antenna, with two floating reflectors, is presented. The dipole antenna resonates at 1.22 GHz and has a fractional bandwidth (FBW) of 16.39% and a differential impedance of 100 Ω. The proposed antenna is composed of quarter wavelength tuning fork shaped dipole arms in the top layer. To improve robustness, while connecting to the differential circuits, two floating reflectors are used on the bottom layer, beneath the dipole arm. This method helps improving the gain by 7%. A microstrip-to-coplanar strip line (CPS) transition is designed to measure the stand-alone differential antenna. The measured gain and efficiency of the antenna are 2.14 dBi and 84%, respectively, at the resonant frequency. The possible targeted applications are circuits with differential inputs/outputs, like energy harvesting circuits, radio frequency tags, wireless communications and any other wireless sensor network nodes. Details of the design along with simulated and experimental results are presented and discussed.

In this paper a substrate integrated waveguide (SIW) quasi-elliptic filter with a controllable bandwidth is proposed. The quasi-elliptic filter response is caused by the cross coupling technique and a dual-mode resonance cavity. The dual-mode resonance cavity with TE₁₀₁ and TE₁₀₂ modes is used to generate the passband, and the cross coupling provides two signal transmission paths to produce transmission zeros (TZs). The bandwidth of the filter can be controlled by a pair of disturbing metallic via-holes. A quasi-elliptic filter with the center frequency of 11.03 GHz is designed, fabricated and measured. The experiment data agree well with the simulated ones.

Seawater conductivity is an important factor that affects the corrosion electric field of ship.Athree-dimensional boundary element method (3D-BEM) combined with nonlinear polarization curve was employed to investigate the influence of seawater conductivity on the corrosion electrostatic field. Numerical simulation results show that the electric field distribution is only slightly influenced by the conductivity.However, the intensity decreases with the increases of conductivity. The simulation results of the BEM model were compared with the results of the equivalent electric dipole model, and the results obtained by the two methods had high similarity, which demonstrated that the BEM model was effective. The former is a more convenient and concise modeling method that can better reflect the distribution characteristics of ship's corrosion electric field than the electric dipole model.

This paper proposes a compact microstrip bandpass filter (BPF) with high selectivity. A folded stepped-impedance resonator (SIR) of which the high impedance part is realized by a coplanar waveguide on the ground layer is introduced to the filter design for miniaturization. Furthermore, source-load coupling is implemented by extended tapped lines (ETLs). High selectivity with four transmission zeros (TZs) can be achieved. The analysis of the filter is presented based on atransmission line circuit model and even- and odd-mode analysis method. An experimental filter with the size of 0.15λ_g*0.13λ_g (where λ_g is the guide wave-length at the center frequency) is designed to validate our methods.