A comparative study of pseudo-static slope stability analysis using different design codes

Many researchers have developed new calculation methods to analyze seismic slope stability problems, but the conventional pseudo-static method is still widely used in engineering design due to its simplicity. Based on the Technical Code for Building Slope Engineering(GB 50330-2013) of China and the Guidelines for Evaluating and Mitigating Seismic Hazards in California(SP117), a comparative study on the pseudo-static method was performed. The results indicate that the largest difference between these two design codes lies in determination of the seismic equivalence reduction factor( f_(eq)). The GB 50330-2013 code specifies a single value for f_(eq) of 0.25. In SP117, numerous factors,such as magnitude and distance, are considered in determining f_(eq). Two case studies show that the types of slope stability status evaluated by SP117 are in agreement with those evaluated by the seismic time-history stability analysis and Newmark displacement analysis. The factors of safety evaluated by SP117 can be used in practice for safe design. However, the factors of safety evaluated by GB 50330-2013 are risky for slope seismic design.

Performance Analysis Concerning Antinoise for Several Pseudo-random Code Fuzes

Introduces in brief the principle of three kinds pseudo-random code fuzes, viz. the pseudo-random code phase modulation fuze,the pseudo-random code phase modulation and pulse amplitude modulation(PAM) combined fuze,and the pseudo-random code phase modulation and random(pseudo-random) pulse position modulation(PPM) combined fuze. On this basis, their SNR gains in signal processing after band pass filter to the correlation detection, and the overall SNR gains of the whole procedure after correlation detection are deduced in detail. The results show that the latter two kinds of fuzes have the same performances concerning antinoise that are stronger than that of the pseudo-random code phase modulation fuze.

Modulation for Digital Radio Broadcasting Using Amplitude Autocorrelation of Pseudo Random Noise Codes to Carry Information

The frequency bands used in mobile communications are allocated according to the type of application. With the need for more channels, the frequency spectrum has become a scarce natural resource. This study shows the results of a proposed modulation using a variation of the autocorrelation of pseudo-random codes to carry information. The work also presents the generation of multiple orthogonal axes to increase the bit rate thus improving the channel efficiency.

可级联组网的无线时间比对系统设计

随着科技的发展,越来越多的场合需要实现多个终端间的纳秒量级高精度时间比对,例如现代化军事靶场、战场、雷达观测基地等。现阶段常用的纳秒量级多终端间的时间比对方法是导航卫星共视法,该方法需要搭建数据交换链路,应用的灵活性受限。本文基于无线伪随机码测距原理、双向时间比对原理和码分多址技术,设计出一套可以自适应组网的高精度时间比对系统,不需要额外搭建数据交互通路即可实现级联节点之间的纳秒量级时间比对。其次,分析了利用该系统实现纳秒量级时间比对的技术难点,并提出了相应的解决方法。最后,搭建实验平台对设计的时间比对系统进行验证。实验结果表明,在500 m的无线比对基线下,可以实现优于0.5 ns的静态时间比对精度。

ModiΡed pseudo-noise code regeneration method

A modiΡed pseudo-noise（PN） code regeneration method is proposed to improve the clock tracking accuracy without impairing the code acquisition time performance.Thus,the method can meet the requirement of high accuracy ranging measurements in short time periods demanded by radio-science missions.The tracking error variance is derived by linear analysis.For some existing PN codes,which can be acquired rapidly,the tracking error variance performance of the proposed method is about 2.6 dB better than that of the JPL scheme（originally proposed by Jet Propulsion Laboratory）,and about 1.5 dB better than that of the traditional double loop scheme.

北斗卫星船载导航信号并行捕获算法

信号捕获作为实现北斗卫星船载导航的第一阶段,也是最重要的一环,为此研究基于北斗卫星船载导航信号并行捕获算法,在短时间内捕获卫星信号,为船舶提供高精度的定位和导航服务。建立北斗卫星导航信号模型,依据模型生成的北斗卫星导航信号,采用傅里叶变换(Fast Fourier Transformation,FFT)算法以及快速傅里叶逆变换(Inverse Fast Fourier Transform,IFFT)算法,通过并行频率搜索和并行码相位搜索分别将伪随机码相位、载波频移的二维搜索变成一维进行并行搜索,获取北斗卫星信号的伪随机码和载波频移,实现北斗卫星船载导航信号并行捕获。实验结果表明,该算法可以成功地捕获船载导航信号,并且捕获耗时短;对船载导航信号的载波频率估计误差小。

果园作业平台车架耐久性研究

针对农用机械作业工况复杂、受多种外力、对结构件寿命影响较大等问题,以果园作业平台车架为研究对象,编制车架加速载荷谱,分析车架耐久性。采用有限元分析方法,对车架进行力学分析并选取关键载荷测点,建立果园作业平台多体动力学模型采集相应测点载荷谱,利用伪损伤保留编辑法获取不同伪损伤保留量的加速载荷谱,从压缩时间效率、伪损伤域、功率谱密度、穿级/雨流计数和统计值参数等方面对比,分析伪损伤保留量对加速载荷谱质量的影响。通过车架耐久性仿真对比不同编辑方案对耐久性分析精度和效率的影响。对比结果表明,伪损伤保留量不低于90%才能保证加速载荷谱的质量。仿真结果表明,车架最小寿命历程大约为65000 km,根据果园作业平台使用条件和用户使用情况调查,了解果园作业平台每年大约行驶8100 km,使用年限为8年,该车架满足要求。且伪损伤保留量为95%时为最佳编制方案,加速载荷谱时间压缩量为55%,车架耐久性仿真分析误差能控制在5%内且仿真效率提高391%,本文为提高农用机械部件耐久性载荷的编辑质量提供参考。

一种扩展GMSK扩频多普勒捕获范围的方法

伪码捕获在短时猝发GMSK(高斯滤波最小频移键控)扩频通信中是不可缺少的一环,尤其是在接收端弱信号的情况下,多普勒频移会严重影响接收端伪码捕获性能。针对短时猝发GMSK扩频体制的特殊性,设计了接收端伪码捕获算法,推导分析了该捕获算法的相关公式,并在此基础上提出了一种多通道并行接收捕获的方法以适应短时猝发条件,该方法通过扩展多普勒适应范围以提升GMSK扩频通信系统伪码捕获性能,将该方法应用到短时猝发GMSK扩频通信系统中,可提升伪码捕获峰值阈值约2.7 dB以满足系统灵敏度要求,且占用硬件资源较少。

一种伪码连续波体制的无线电高度表功能指标分解设计方法

文章分析了伪码测距体制无线电测高功能的基本原理和基于伪码测距体制的指标体系,重点研究无线电测高功能的各个组成部分分解各端到端的设计指标是否能满足用户需求,并通过天线仿真各种可能指标,验证指标分解方法的合理性,为后续的无线电测高功能设计提供指标分解思路,也为后续无线电高度表功能方案改进提供数据参考。

SOLUTION OF ASSIGNING BINARY INDEXES TO CODEVECTORS BY A KIND OF HOPFIELD NEURAL NETWORK

A method of assigning binary indexes to codevectors in vector quantization (VQ)system, which is called pseudo-Gray coding, is presented in this paper by constructing a kind of Hopfield neural network. Pseudo-Gray coding belongs to joint source/channel coding, which could provide a redundancy-free error protection scheme for VQ of analog signals when the binary indexes of signal codevectors are used as channel symbols on a discrete memoryless channel. Since pseudo-Gray coding is of combinatorial optimization problems which are NP-complete problems,globally optimal solutions are generally impossible. Thus, a kind of Hopfield neural network is used by constructing suitable energy function to get sub-optimal solutions. This kind of Hop field neural network is easily modified to solve simplified version of pseudo-Gray coding for single bit-error channel model. Simulating experimental results show that the method introduced here could offer good performances.

Pseudo-Random Coding Side-Lobe Suppression Method Based on CLEAN Algorithm

A pseudo-random coding side-lobe suppression method based on CLEAN algorithm is introduced.The CLEAN algorithm mainly processes pulse compression results of a pseudo-random coding,and estimates a target＇s distance by a method named interpolation method,so that we can get an ideal pulse compression result of the target,and then use the adjusted ideal pulse compression side-lobe to cut the actual pulse compression result,so as to achieve the remarkable performance of side-lobe suppression for large targets,and let the adjacent small targets appear.The computer simulations by MATLAB with this method analyze the effect of side-lobe suppression in an ideal or noisy environment.It is proved that this method can effectively solve the problem due to the side-lobe of pseudo-random coding being too high,and can enhance the radar＇s multi-target detection ability.

PN code acquisition algorithm in DS-UWB system based on threshold comparison criterion

The direct sequence ultra-wideband （DS-UWB） is a promising technology for short-range wireless communications. The UWB signal is a stream of very low power density and ultra-short pulses, and the great potential of DS-UWB depends critically on the success of timing acquisition. A rapid acquisition algorithm for reducing the acquisition time of the coarse pseudo-noise （PN） sequences is proposed. The algorithm utilizes the auxiliary sequence and bisearch strategy based on the threshold comparison criterion. Both theoretical analysis and simulation tests show that with the proposed search strategy and simple operations over the symbol duration at the receiver, the proposed algorithm can considerably reduce the acquisition time even as it maintains the PN sequence acquisition probability in the DS-UWB system over the dense multipath environment.

窄带干扰及动态环境BOC调制信号多通道并行捕获

针对窄带干扰及动态环境二进制偏移载波(binary offset carrier,BOC)调制信号捕获困难、捕获效率低的问题,提出利用奇异值分解(singular value decomposition,SVD)结合最小描述长度(minimum description length,MDL)准则对窄带干扰进行抑制。在部分匹配滤波器结合分数阶傅里叶变换(partially matched filter-fractional Fourier transform,PMF-FRFT)捕获算法的基础上提出结合伪码复合以及异步伪码相关累加的多通道并行捕获算法。该算法首先对接收到的含窄带干扰信号做SVD,利用MDL准则自适应估计出干扰信号的个数并完成干扰抑制;然后,将信号伪码相加形成新的伪码序列,由PMF-FRFT结合异步伪码相关累加算法实现对多个信号的精确捕获。仿真结果表明,SVD窄带干扰抑制算法在较好保留原信号特征的基础上能够有效抑制干扰信号,且性能稳定。提出的伪码复合结合异步伪码相关累加多通道捕获的算法可同时完成多个信号的捕获,有效提升信号捕获概率、减少捕获时间。

直接序列扩频非正交分组码索引调制技术研究

为了进一步提高传统码索引调制(Code Index Modulation, CIM)的误码率性能和降低伪随机(Pseudo Noise, PN)码索引资源的耗费量,提出非正交分组-码索引调制(Nonorthogonal Grouping-Code Index Modulation, NG-CIM)方案。NG-CIM在发送端将每一个传输时隙并行分为调制块和映射块,调制块通过比特分组后映射成为多组调制符号,映射块为各组调制符号的正交分量和同相分量索引相同的PN码进行直接序列扩频传输。仿真结果表明,在加性高斯白噪声信道中,随着频谱效率的提升,NG-CIM的误码率性能较CIM有着约2~4dB的改善,同时PN码资源的耗费量也大大减少。

伪码引信小型实时可配置高速伪码调制频率源

针对传统伪码引信调制频率源集成度不高、码型和载波频率固定不变的问题,提出一种小型实时可配置高速伪码调制频率源。该频率源包括高速乘法器、宽带锁相环和环路滤波器等,采用SIP集成工艺将电路集成到小型QFN封装内。测试和试验结果证明,该频率源能实时接收外部的高速差分调制信号和载波配置信号,可产生载频、码型可变伪码脉冲信号,与数字相关器配合使用,在引信由远及近探测时,可有效提高引信的抗干扰能力,拓展引信近距离探测范围,最近探测距离减小30 m,探测精度优于1 m。

一种基于改进f-k滤波的编码雷达信号去噪方法

超宽带编码雷达探测地下介质时,回波信号不可避免地受到噪声影响,这会对数据解释带来一定困难.频率-波数(f-k)滤波方法可以有效滤除部分噪声,但其对高频段的滤波效果欠佳.针对此问题,本文提出一种改进的f-k滤波方法,即根据频率和波数的分布情况,设置不同的视速度阈值进行分段处理,提高高频段的视速度阈值,有效滤除了高频段的噪声.实验结果表明,经本文方法处理后的图像熵较传统方法处理后的图像熵减小了6%,具有良好的噪声抑制效果.

应用标签并行识别技术的RFID防碰撞算法

针对RFID传统算法一次只能识别一个标签、吞吐率低、饿死率高的不足,文中提出一种RFID系统防碰撞算法,即利用伪ID码分组,并应用标签可并行识别技术的防碰撞算法(PILD算法)。PILD算法利用伪ID码对待识别标签进行分组,当出现碰撞现象时,运用并行识别算法对出现碰撞的标签进行识别。该算法能避免因帧长过大造成吞吐率下降的问题,并提高RFID识别技术的吞吐率。首先对PILD算法的识别过程进行理论分析,再运用Mathematica软件对PILD算法进行仿真。理论分析及仿真结果表明:当标签总数为2000,单次碰撞标签数小于等于6时,标签平均查询次数近似为1.26次;该算法的吞吐率较稳定且达到0.791092,与基于伪ID码的树型防碰撞算法和Logistic⁃DFSA算法相比,所提算法吞吐率分别提高28.82%、4.74%;当标签数大于1400时,PILD算法的标签总查询次数最少,标签平均查询次数最少。所提算法中伪ID码分组能够减少单个标签因多次碰撞发生“饿死现象”的概率,与基于伪ID码的树型防碰撞算法和Logistic⁃DFSA算法相比,PILD算法饿死率最低。

基于周期插值的自编码扩频系统自干扰抑制

针对自编码扩频系统存在误码传递产生的自干扰问题,本文提出了基于伪随机序列周期插值的自编码扩频系统,该方法采用周期的插入伪随机序列,改变自编码扩频通信系统的扩频序列的产生方式,隔断在接收端采用恢复的信息码元作为解扩序列对接收到的序列进行解扩产生的误码传递。本文构建了基于伪随机序列周期插值的自编码扩频系统,推导了基于伪随机序列周期插值的自编码扩频系统的理论表达式。理论分析与仿真结果表明:在高斯白噪声信道与瑞利信道情况下均可改善系统在低信噪比时的误码性能;通过倒谱分析表明基于伪随机序列周期插值的自编码扩频系统无周期性,未改变系统的隐蔽性能。

基于载波平滑伪码的高精度航天扩频体制测距技术

在航天扩频测控系统中,伪码测距技术可以有效避免相位模糊,但是码长也限制了其相位测量精度,而载波测距技术则具有更高的相位测量精度。针对扩频测控体制,提出了一种基于载波平滑伪码的高精度航天扩频体制测距技术,该技术利用锁相环获得的载波相位对伪码值进行平滑,在保留伪码测距无相位模糊特性的基础上进一步提升测量精度,从而减小测距接收机的随机误差。仿真结果和试验数据表明:该方法能有效提高星地测距精度,测量精度达到毫米量级,具有很强的实用价值。