基于遗忘因子RLS算法的自适应直达波对消技术

在以民用广播、电视及CDMA等信号为照射源的无源雷达系统中,由于发射信号为连续波信号,直达波和多径信号对雷达回波的干扰很强,影响了目标的检测。为此采用RLS自适应对消处理技术来抑制直达波干扰,针对RLS自适应算法的性能分析,提出了改进RLS自适应处理算法,收到了良好的滤波效果。最后在以广播信号为照射源的实验系统中,根据实际采集的数据进行仿真论证,验证了该方法的可行性。     

Variable sampling interval Shewhart control charts for monitoring the multivariate coefficient of variation

In many industrial manufacturing processes, the ratio of the variance to the mean of a quantity of interest is an important characteristic to ensure the quality of the processes. This ratio is called the coefficient of variation (CV). A lot of control charts have been designed for monitoring the CV of univariate quantity in the literature. However, the CV control charts for multivariate quantity have not received much attention yet. In this paper, we investigate a variable sampling interval (VSI) Shewhart control chart for monitoring multivariate CV. The time between two consecutive samples is allowed to vary according to the previous value of the multivariate CV, which will help the chart to detect the process shifts faster. The comparison with the fixed sampling interval Shewhart chart is implemented to highlight the advantage of the VSI method. Finally, an illustrative example is demonstrated on real data.     

Encoding true-color images with a limited palette via soft vector clustering as an instance of dithering multidimensional signals

One of the classic problems of digital image processing is to encode true-color images for the optimal viewing on displays with a limited set of colors. A major manifestation of optimal viewing in this regard is to maximally remove parasitic artifacts in the degraded encoded images such as the contouring effect. Several robust attempts have been made to solve this problem over the past 50 years, and the first contribution of this paper is to introduce a simple – yet effective – novel solution that is based on soft vector clustering.The other contribution of this paper is to propose the application of the soft clustering methodology deployed in our color-encoding solution for the dithering of multidimensional signals. Dithering essentially adds controlled noise to the analog signal upon its digitization so that the resulting quantization noise is dispersed over a much wider band of the frequency domain and is therefore less perceptible in the digitized signal. This comes of course at the price of more overall quantization noise. Dithering is a vital operation that is performed via well-known simple schemes upon the analog-to-digital conversion of one-dimensional signals; however, the published literature is still missing a general neat scheme for the dithering of multidimensional signals that is able to handle arbitrary dimensionality, arbitrary number and distribution of quantization centroids, and with computable and controllable noise power. This gap is also filled by this paper.     

基于Android的交通信号机手持终端软件设计与实现

针对路口交通信号设置不便的问题,研究了基于Android开发平台的交通信号机手持终端软件的设计与实现过程,该软件使用Android软件开发工具包和Eclipse集成开发环境进行开发,具有常用设置、特殊设置、打开文件和保存文件等功能。交通管理人员可以用Android智能手机作为信号机手持终端,与信号机通过蓝牙连接,方便地对交通信号参数进行设置。     

信号隔离技术在某火控计算机中的应用

摘要：作为火控产品,可靠性的设计已成为决定该产品生命力的重要指标。为此,主要介绍了光电隔离和变压器隔离两种信号隔离技术在某型火控计算机中的应用,该技术的应用对提高产品的可靠性起到了良好的效果。     

On the Cramer-Rao lower bound for RSS-based positioning in wireless cellular networks

An accurate position of a mobile user's location is substantial in wireless cellular networks with respect to location based services (LBS) implementation. Among the available parameters used to estimate a desired location, low cost measurement of received signal strength (RSS) makes it suitable for outdoor and indoor positioning. Our aim here is to look at the performance of a theoretically optimal user's position estimator. We examine the Cramer-Rao lower bound (CRLB), which sets the lowest variance of any unbiased estimator. Due to the oversimplification with respect to reliance on detailed cognizance of environment, we deploy theoretical free-space and empirical COST-231-Hata, Stanford University Interim (SUI) and ECC-33 path loss models that are dominantly used in real scenarios aiming to form the system model equations. The findings show that the CRLB on estimation precision depends on the underlying path loss exponents (PLE) and the relative positions of the mobile and base stations. The calculated bounds provide a benchmark against which it is possible to evaluate different positioning algorithms, techniques and estimators relying on the specified path loss models.     

七号信令在移动通信故障定位中的应用

7号信令是由ITU-T制定的全球电信业的标准。这个标准指定了在通信中各个网络点通过数字信令网交换信息的过程及协议。在以电路交换为基础的GSM网络中,信令流程是一切通信过程的基本。只有确实掌握MS呼叫、位置更新、切换等通信过程中各接口的信令流程,才能有针对性地对网络故障进行分析定位。文中重点分析了GSM网络中位置更新的信令流程,结合信令监测系统获取的有效信令信息,对故障实例进行了分析,建立了一般的故障处理流程。     

城市轨道交通与通信信号系统

微电子技术、信息技术和计算机网络技术彻底改变了轨道交通信号技术的现状,产生了城市轨道交通信号系统。其在轨道交通安全运行和通行能力方面发挥了巨大作用,不但使运行效率大幅提高,而且实现了列车运行的自动化。     

基于线性预测分析的语音信号合成

语音合成是实现人机语音通信的关键技术。文中介绍了一种基于语音信号线性预测分析的语音合成方法,以及什么是线性预测系数和如何提取线性预测系数,然后采用了重叠存储法,用预测系数合成语音。这种合成方法可以应用到语音信号的传输过程中,能减小信号的传输带宽,提高传输速率。     

侦察信号互相关滤波的信噪比分析

低截获概率（LPI）雷达的出现导致无源探测系统难以从噪声中检测到威胁信号,针对无源探测系统的信号检测问题,提出了一种基于互相关滤波的信号检测方法,利用高信噪比的辐射源样本与辐射源信号的重复性,进行互相关滤波处理,有效提高了检测性能。分析了脉压比、输入信噪比、样本信噪比,及时间同步误差、多普勒频率差对检测性能的影响。仿真分析证明了方法的正确性与有效性。