基于ISODATA算法的土地利用状况调查

针对现有利用遥感影像进行土地利用状况调查的需求,从统计模式识别的角度出发,在分析ISODATA算法基本原理的基础上,通过visual C＋＋语言编程实现,并将其运用于武汉市某地区的土地利用调查工作中,同时对照ER—DASIMAGINE软件处理结果对分类结果进行分析,提出了改进意见,证明了该方法的可行性与实用性。     

Parasitic resistance current sensing topology for coupled inductors

Traditional current sensing topology based on inductor equivalent series resistance fails to extract phase currents for coupled inductors due to the presence of the magnetising inductance. This article proposes a new direct-current resistance current sensing topology for coupled inductors. By implementation of a simple resistor-capacitor network, the proposed topology can preserve the coupling effect between phases. As a result, real phase inductor currents and total current can be sensed. Detailed mathematical analysis and design equations are presented in this article. Sensitivity and mismatch issues are addressed. Experimental results show that the proposed topologies are able to extract phase current as well as total current with acceptable accuracy.     

Highly configurable capacitive interface circuit for tri‐axial MEMS microaccelerometer

A highly configurable capacitive interface circuit with on‐chip calibration capability for tri‐axial microaccelerometer is presented. The capacitive interface circuit is designed to be programmable, and can reduce the output errors due to the parasitic capacitance variations and process variations. The capacitive sensing chain adopts the chopper stabilisation, and includes the front‐end charge amplifier with three 10‐bit programmable capacitor arrays, 9‐bit digital‐to‐analogue converter and 10‐bit programmable gain amplifier. The calibration coefficients are stored to the on‐chip erasable programmable read only memory. The outputs from the three‐channel capacitive sensing chain are converted to digital signal by the integrated 14‐bit algorithmic analogue‐to‐digital converter. After calibrating the 48 samples, all the samples meet the desired specification range. Before the calibration, the errors of the average values of the output offset and gain were +47.1% and ?85.9%, respectively. After the calibration, however, the errors of the average values of the output offset and gain are reduced to be 0.3% and 0.5%, respectively. The resolutions for x/y‐axis and z‐axis are measured to be 326 and 728?µg, respectively.     

An optimal scheduling and routing under adaptive spectrum-matching framework for MIMO systems

Multi-users (MUs) along the communication links cause noise and traffic in the channel. The prediction of availability and the optimal usage of channels are the main objectives of the multi-input multi-output (MIMO) system. Several optimisation algorithms select the optimal channel for the users effectively. But the high-error rate and the probability values are the two major problems in traditionally optimised channel selection methods. The bandwidth allotted for information transmission is minimum. Moreover, the outage probability values are maximum in traditional scheduling algorithms. This paper proposes the new optimisation algorithm that predicts the channels for transmission and adaptive spectrum matching concept to predict the suitable channel from allocated bands. Also, the prioritisation on high-spectrum intensity basis assures an efficient data delivery to the receiver. The scheduling of available channels and data prioritisation minimises the error probability rates. This paper investigates the effectiveness of proposed optimal channel utilisation against the different modulation schemes such as three-dimensional complementary codes, linear network coding with the quadrature phase shift keying in terms of the average block error probability and bit error rate.     

一种基于PN累积自相关的DTMB频谱感知新算法

针对数字电视地面广播传输标准(DTMB)的频谱感知问题,提出了一种新的基于DTMB信号帧中伪随机(PN)序列累积自相关的频谱感知算法。所提算法的创新性在于通过联合多个不同相关间隔的累积自相关结果作为频谱感知的检验统计量,充分利用了有限频谱感知时间内的信号信息。仿真结果表明,当把感知时间设为50 ms时,为了确保频谱感知检测的虚警概率和漏验概率都低于0.01,针对DTMB信号的3种帧头模式,所提算法所需的信噪比分别为-20.5 dB、-21 dB和-22 dB,优于已有的频谱感知算法。此外,仿真结果还表明载波频偏和多径衰落对所提算法的性能几乎没有影响。     

Flexible and Highly Sensitive Strain Sensors Fabricated by Pencil Drawn for Wearable Monitor

Functional electrical devices have promising potentials in structural health monitoring system, human‐friendly wearable interactive system, smart robotics, and even future multifunctional intelligent room. Here, a low‐cost fabrication strategy to efficiently construct highly sensitive graphite‐based strain sensors by pencil‐trace drawn on flexible printing papers is reported. The strain sensors can be operated at only two batteries voltage of 3 V, and can be applied to variously monitoring microstructural changes and human motions with fast response/relaxation times of 110 ms, a high gauge factor (GF) of 536.6, and high stability >10 000 bending–unbending cycles. Through investigation of service behaviors of the sensors, it is found that the microcracks occur on the surface of the pencil‐trace and have a major influence on the functions of the strain sensors. These performances of the strain sensor attain and even surpass the properties of recent strain sensing devices with subtle design of materials and device architectures. The pen‐on‐paper (PoP) approach may further develop portable, environmentally friendly, and economical lab‐on‐paper applications and offer a valuable method to fabricate other multifunctional devices.     

基于空谱特征稀疏表达的治安风险检测文献综述

文章指出治安风险是在一定地域范围内,由治安秩序紊乱导致安全损失的一种未来情景.当前科技飞速发展,治安形势的复杂程度前所未有,亟需运用新的技术新手段深化风险认识,提高对治安风险的感知能力.利用有效的高光谱遥感辅助技术手段,可以探索针对偏僻地区,以专业载荷为基础的遥感治安风险预测路线,为科技强警走出一条新路.     

基于压缩感知的SAR图像目标识别

提出一种基于压缩感知的合成孔径雷达图像目标识别方法,将目标识别问题转化为稀疏表示的近似求解问题。该方法利用测试样本在全体训练样本基下的稀疏性,实现样本间的近似稀疏表示。通过考察稀疏系数主要集中于样本真实类别之上的分布特性,研究了稀疏系数本身对目标类别具有的可区分能力,最后基于稀疏系数的分布特性设计分类算法完成目标识别。基于MSTAR数据中三类目标的实验证明,与目前已有的几种典型方法相比,该方法可以取得更高的识别率,是一种有效的合成孔径雷达图像目标识别方法。     

可调谐长周期光子晶体光纤光栅压力传感的实验研究

采用超连续谱做宽带光源和金属丝施加周期性压力,在高非线性光子晶体光纤(HNL-PCF)上产生了长周期光纤光栅(PLPG),测定了脉冲透射谱峰值和压力的关系。实验表明,在20～60N范围内,压力和透射谱峰值的线性度达到0.9953,灵敏度达到0.5dB/N。     

基于中继协作的认知无线电性能研究

频谱感知是认知无线电技术的关键。协作频谱感知能够充分利用网络资源,提高网络中认知用户的检测概率,降低认知用户的虚警概率。基于两个认知用户之间的中继协作,研究了协作频谱感知的感知性能与吞吐量的折衷。仿真结果表明：中继协作的频谱感知方法能够使得在充分保证对授权用户不造成干扰即检测概率一定时,能够有效地降低认知用户感知授权用户的虚警概率,缩短＂弱＂认知用户获得最大吞吐量的最优感知时间,提高其最大吞吐量,并提高认知系统的最大吞吐量。