Cooperative transmission protocol with full diversity and iterative detection

The authors propose a three-node full diversity cooperative protocol, which allows the retransmission of all symbols. By allowing multiple nodes to transmit simultaneously, relaying transmission only consumes limited bandwidth resource. To facilitate the performance analysis of the proposed cooperative protocol, the lower and upper bounds of the outage probability are first developed, and then the high signal-to-noise ratio behaviour is studied. Our analytical results show that the proposed strategy can achieve full diversity. To achieve the performance gain promised by the cooperative diversity, at the relays decode-and-forward strategy is adopted and an iterative soft-interference-cancellation minimum mean-squared error equaliser is developed. The simulation results compare the bit-error-rate performance of the proposed protocol with the non-cooperative scheme and the scheme presented by Azarian et al. (2005).     

超宽带室内多径传播信道的有效时域射线模型

在这篇文章中,为超宽带（UWB）室内多径传播信道发展了一种有效的时域射线模型。这种模型是基于衍射的时域均一性几何理论（TD-UTD）技术的。这种技术包含了的几何光学（GO）和UTD的三种基本射线结构,即直射射线,损耗表面的多径反射射线和损耗边缘的绕射射线。我们提供了TD多径反射射线的水平极化和垂直极化的有效近似分析,描述了TD绕射系数。多径反射和绕射的所有路径,每个路径的时延,脉冲波形和幅度和TD路径损耗都可以由一个基于软件的TD射线追踪工具得到。     

外辐射源定位中的修正增益扩展卡尔曼滤波

针对基于外辐射源的固定单站无源定位问题,给出了一种对运动目标进行定位跟踪的改进型滤波算法。文中首先建立目标角度信息、直达波与散射波的时间差信息以及多普勒频移信息的观测方程,并推导了每个观测方程的修正增益函数,然后利用多个时刻的观测值扩充了观测方程,从而给出了一种基于扩充观测方程的修正增益扩展卡尔曼滤波（MGEKF）算法。经过计算机仿真验证,该算法可以提高定位精度,并能有效地抑制滤波发散。     

A Minimax Chebyshev Estimator for Bounded Error Estimation

We develop a nonlinear minimax estimator for the classical linear regression model assuming that the true parameter vector lies in an intersection of ellipsoids. We seek an estimate that minimizes the worst-case estimation error over the given parameter set. Since this problem is intractable, we approximate it using semidefinite relaxation, and refer to the resulting estimate as the relaxed Chebyshev center (RCC). We show that the RCC is unique and feasible, meaning it is consistent with the prior information. We then prove that the constrained least-squares (CLS) estimate for this problem can also be obtained as a relaxation of the Chebyshev center, that is looser than the RCC. Finally, we demonstrate through simulations that the RCC can significantly improve the estimation error over the CLS method.     

Hamilton-Jacobi skeleton on cortical surfaces

In this paper, we propose a new method to construct graphical representations of cortical folding patterns by computing skeletons on triangulated cortical surfaces. In our approach, a cortical surface is first partitioned into sulcal and gyral regions via the solution of a variational problem using graph cuts, which can guarantee global optimality. After that, we extend the method of Hamilton-Jacobi skeleton to subsets of triangulated surfaces, together with a geometrically intuitive pruning process that can trade off between skeleton complexity and the completeness of representing folding patterns. Compared with previous work that uses skeletons of 3-D volumes to represent sulcal patterns, the skeletons on cortical surfaces can be easily decomposed into branches and provide a simpler way to construct graphical representations of cortical morphometry. In our experiments, we demonstrate our method on two different cortical surface models, its ability of capturing major sulcal patterns and its application to compute skeletons of gyral regions.     

Organic perovskites

The past 20 years have witnessed the rapid growth of photonic integration circuits(PIC)technology,which has been warmly embraced by both academia and the industry.Powered by the advanced development in material growth,processing,and design capability,the PIC technology now covers multiple material platforms,including III–V(InP,GaAs),silicon,silica,lithium niobate on insulator(LNOI)polymer,etc.The integration level has evolved from a single functional device to thousands of components on-chip.The increase in the performance and the complexity of the PICs have become an energetic booster for communication and information technology.     

Enhancing Representation of Deep Features for Sensor-Based Activity Recognition

Sensor-based activity recognition (AR) depends on effective feature representation and classification. However, many recent studies focus on recognition methods, but largely ignore feature representation. Benefitting from the success of Convolutional Neural Networks (CNN) in feature extraction, we propose to improve the feature representation of activities. Specifically, we use a reversed CNN to generate the significant data based on the original features and combine the raw training data with significant data to obtain to enhanced training data. The proposed method can not only train better feature extractors but also help better understand the abstract features of sensor-based activity data. To demonstrate the effectiveness of our proposed method, we conduct comparative experiments with CNN Classifier and CNN-LSTM Classifier on five public datasets, namely the UCIHAR, UniMiB SHAR, OPPORTUNITY, WISDM, and PAMAP2. In addition, we evaluate our proposed method in comparison with traditional methods such as Decision Tree, Multi-layer Perceptron, Extremely randomized trees, Random Forest, and k-Nearest Neighbour on a specific dataset, WISDM. The results show our proposed method consistently outperforms the state-of-the-art methods.

     

A simple CMOS process compatible high performance parallel-stacked spiral inductor for advanced RF analog circuit applications

A high Q on-chip inductor with some unique structures has been fabricated with 0.13 μm CMOS compatible process for the first time. The unique structures including parallel stacked, line via between inter-metal layers, and use the top signal pad as the under path of the inductor instead of conventional bottom signal pad. These structures offer advantages of reducing resistance, high Q value, simple preparing process and small chip area. Experimental results show that the measured peak Q and peak-Q frequency can attain 7.06 and 1.8 GHz, respectively for the structure with four metal layers in parallel, 15 μm in metal width, 5.5 turns in wire number,and an area of 204×240 μm². The results have a better potential for advanced mobile communication applications.     

InP optical switch array module high frequency performance: measurements and analysis

An injection-mode InP optical switch array has been characterised at high frequency. A switched optical pulse settling anomaly, which limits the switching performance of the array, is associated with recombination and junction heating effects at the switch heterojunction interface. A simple model describing the effects is presented. Critical design parameters are also identified.<>     

A high-density NAND EEPROM with block-page programming formicrocomputer applications

A high-density, 5-V-only, 4-Mb CMOS EEPROM with a NAND-structured cell using Fowler-Nordheim tunneling for programming is discussed. The block-page mode is utilized for high-speed programming and easy microprocessor interface. On-chip test circuits for shortening test time and for evaluating cell characteristics yield highly reliable EEPROMs. The NAND EEPROM has many applications for microcomputer systems that require small size and large nonvolatile storage systems with low power consumption