Initial orbit determination of BDS-3 satellites based on new code signals

For the two newly launched satellites(PRN number 27 and 28) of the future global BeiDou navigation satellite system(BDS-3), there is no available broadcast ephemeris data and other initial orbit information, but the initial orbit is the fundamental of the comprehensive analysis of the satellites and their signals. Precise orbit determination(POD) also requires determination of a priori initial value with a certain precision in order to avoid problems such as filter divergence during POD. Compared with the Newton iteration method, which relies on the initial value, this study utilizes the Bancroft algorithm to directly solve the nonlinear equations with the advantage of numerical stability. The initial orbits of these two satellites are calculated based on new code signals, and their results are analyzed and discussed. The experimental results show that, with the exception of very few epochs, when the new code signal is utilized, the median and robust variance factor of the observed residuals computed using pseudo-range observations and the solved initial orbits are less than 4 and 2 m, respectively. It also shows that this solution can be used for rapid initial orbit recovery after maneuvers of the new BeiDou satellites.

Novel non-coherent integration method using binary phase-coded radar signal

The m series with 511 bits is taken as an example being applied in non-coherent integra- tion algorithm. A method to choose the bi-phase code is presented, which is 15 kinds of codes are picked out of 511 kinds of m series to do non-coherent integration. It is indicated that the power in- creasing times of larger target sidelobe is less than the power increasing times of smaller target main- lobe because of the larger target＇ s pseudo-randomness. Smaller target is integrated from larger tar- get sidelobe, which strengthens the detection capability of radar for smaller targets. According to the sidelobes distributing characteristic, a method is presented in this paper to remove the estimated sidelobes mean value for signal detection after non-coherent integration. Simulation results present that the SNR of small target can be improved approximately 6. 5 dB by the proposed method.

Totally Coded Method for Signal Flow Graph Algorithm

After a code-table has been established by means of node association information from signal flow graph, the totally coded method (TCM) is applied merely in the domain of code operation beyond any figure-earching algorithm. The code-series (CS) have the holo-information nature, so that both the content and the sign of each gain-term can be determined via the coded method. The principle of this method is simple and it is suited for computer programming. The capability of the computer-aided analysis for switched current network (SIN) can be enhanced.

Polyphase coded signal design for MIMO radar using MO-MicPSO

A novel modified optimization technique known as the multi-objective micro particle swarm optimization（MO-MicPSO） is proposed for polyphase coded signal design.The proposed MO-MicPSO requires only a small population size compared with the standard particle swarm optimization that uses a larger population size.This new method is guided by an elite archive to finish the multi-objective optimization.The orthogonal polyphase coded signal（OPCS） can fundamentally improve the multiple input multiple output（MIMO） radar system performance,with which the radar system has high resolution and abundant signal channels.Simulation results on the polyphase coded signal design show that the MO-MicPSO can perform quite well for this high-dimensional multi-objective optimized problem.Compared with particle swarm optimization or genetic algorithm,the proposed MO-MicPSO has a better optimized efficiency and less time consumption.

Recognition Method Based on Wigner-Hough Transform for Poly-Phase Code Radar Signal

In order to solve the recognition of polyphase code radar signal, this paper gives two methods based on Frank code, i.e. the high-order spectrum recognition method and the fractional Fourier transform (FRFT) method, by analyzing the micro characteristics of polyphase code signals in time and frequency domain respectively. And a recognition algorithm based on Wigner-Hough transform (WHT) is developed in this paper. We verify the validity of each method by computer simulation and give relative merits and demerits. A set of results demonstrate that the algorithm based on Wigner-Hough transform has better recognition performance in low signal-to-noise (SNR) than others.

Finite rate of innovation sparse sampling for a binary frequency-coded ultrasonic signal

To achieve sparse sampling on a coded ultrasonic signal,the finite rate of innovation(FRI)sparse sampling technique is proposed on a binary frequency-coded(BFC)ultrasonic signal.A framework of FRI-based sparse sampling for an ultrasonic signal pulse is presented.Differences between the pulse and the coded ultrasonic signal are analyzed,and a response mathematical model of the coded ultrasonic signal is established.A time-domain transform algorithm,called the high-order moment method,is applied to obtain a pulse stream signal to assist BFC ultrasonic signal sparse sampling.A sampling of the output signal with a uniform interval is then performed after modulating the pulse stream signal by a sampling kernel.FRI-based sparse sampling is performed using a self-made circuit on an aluminum alloy sample.Experimental results show that the sampling rate reduces to 0.5 MHz,which is at least 12.8 MHz in the Nyquist sampling mode.The echo peak amplitude and the time of flight are estimated from the sparse sampling data with maximum errors of 9.324%and 0.031%,respectively.This research can provide a theoretical basis and practical application reference for reducing the sampling rate and data volume in coded ultrasonic testing.

对瞬时测频干扰机理的研究

瞬时测频(instantaneous frequency measurement,IFM)接收机是电子侦察中非常重要的测频资源,其结构简单、灵敏度高、侦察频带宽、分辨率高,可以快速测定被测信号的频率,在现代电子战中得到广泛应用。基于IFM微波鉴相器在某一瞬间只能响应一个信号的特性,结合IFM工作原理,研究了一种新的(超过2个信号)对IFM干扰策略,并分析了干扰机理,通过模拟仿真对IFM的干扰效果进行了评估。仿真结果表明:多信号交叠可以对IFM系统产生明显的干扰效果,可以使得其无法测得正确频率,并错误地输出同时到达信号指示。

Implementation of a kind of FPGA-based binary phase coded radar signal processor architecture

A flexible field programmable gate array based radar signal processor is presented. The radar signal processor mainly consists of five functional modules： radar system timer, binary phase coded pulse compression（PC）, moving target detection （MTD）, constant false alarm rate （CFAR） and target dots processing. Preliminary target dots information is obtained in PC, MTD, and CFAR modules and Nios I! CPU is used for target dots combination and false sidelobe target removing. Sys- tem on programmable chip （SOPC） technique is adopted in the system in which SDRAM is used to cache data. Finally, a FPGA-based binary phase coded radar signal processor is realized and simula- tion result is given.

基于空时分组/混沌编码的多天线多基频通信编码研究

为了优化空时分组编码(STBC)和混沌编码,提升无线通信的性能与可靠性,采用多基频混沌编码(MFCC)结合空时分组编码技术搭建了一种双重编码模型,并对该模型的编码解码性能进行仿真分析,评估模型的编码解码性能。实验结果显示,当信噪比为10 dB时,新模型的误码率低至10-8,并且能在两基频条件下实现3548 b/s的高吞吐量。表明该编码解码模型不仅能降低误码率,还能有效提高基频的吞吐量,为促进无线通信技术的发展提供了有力支持。

Efficient practical codebook-precoding MIMO scheme based on signal space diversity

A novel practical codebook-precoding multiple-input multiple-output（MIMO） system based on signal space diversity（SSD） with the minimum mean squared error（MMSE）receiver is proposed.This scheme utilizes rotation modulation and space-time-frequency component interleaving.A novel precoding matrix selection criterion to maximize the average signal to interference plus noise ratio（SINR） is also put forward for the proposed scheme,which has a larger average mutual information（AMI）.Based on the AMI- maximization criterion,the optimal rotation angles for the proposed system are also investigated.The new scheme can make full use of space-time-frequency diversity and signal space diversity,and exhibit high spectral efficiency and high reliability in fading channels.Simulation results show that the proposed scheme greatly outperforms the conventional bit- interleaved coded modulation（BICM） MIMO-orthogonal frequency division multiplexing（OFDM） scheme without SSD,which is up to4.5 dB signal-to-noise ratio（SNR） gain.

外泌体来源非编码RNA对骨关节炎微环境的作用及临床应用进展

背景:骨关节炎是一种常见的关节退行性疾病,其发生发展的病因学机制尚不清楚。早期骨关节炎的及时诊治十分重要,目前尚无确切有效的方法。外泌体来源广泛,其中包含非编码RNA(Non-coding RNAs,ncRNAs),如微小RNAs、环状RNAs和长链非编码RNAs。外泌体ncRNAs可直接从原始细胞递送至邻近或远程细胞,通过细胞间通讯调节细胞活性,在重塑骨关节微环境中具有重要的调控作用。目的:总结外泌体来源ncRNAs对骨关节炎关节内微环境的干预作用,以及在临床应用中取得的进展,阐明其在骨关节炎诊治方面的潜力。方法:以“exosomes,non-coding RNA,osteoarthritis,application,signal pathway,synovial fluid,cartilage cells,cartilage matrix,subchondral bone,mechanism”为检索词在PubMed数据库中进行检索,最终纳入66篇相关文献进行综述分析。结果与结论:①外泌体来源ncRNAs在骨关节炎的发病过程中对关节内微环境具有重要调控作用,主要体现在外泌体ncRNAs调控关节内炎症反应、软骨细胞及软骨基质的退化,软骨下骨重塑和细胞间通讯。②外泌体中的ncRNAs可以作为骨关节炎的生物标志物,帮助骨关节炎的早期诊断和监测疾病进展与预后。③外泌体ncRNAs可作为骨关节炎的治疗靶点,外泌体携带miRNAs递送到关节的软骨细胞及软骨基质,发挥调控作用。④外泌体ncRNAs可以通过调控基因表达、促进细胞间通讯,提高软骨组织工程的效果,修复或再生受损软骨。⑤未来研究者应继续发掘外泌体来源ncRNAs对骨关节炎的干预机制,并可结合最新软骨组织工程的研究成果应用到临床之中,这将有效帮助解决骨关节炎患者的病痛。

基于稀疏编码的复杂机械振动信号盲分离方法

复杂机械振动信号激励源较多,故源信号之间互为相关源,且较难满足统计独立特性,导致传统盲源分离方法分离效果不佳。对此,提出一种基于信号稀疏编码的机械振动信号盲分离方法。盲源分离的关键在于对混合矩阵的精确估计,然而机械振源中相关成分的存在严重影响混合矩阵的估计。对此,首先对观测信号进行短时傅里叶变换,增加信号稀疏性;然后利用稀疏编码筛选出具备直线聚类特性的时频观测点,利用K均值(K-means)聚类法找到聚类中心;最后利用所提筛选规则找到估计的混合矩阵,重构出源信号。通过对往复压缩机故障数据的分析,验证了所提方法有效性。

自适应多普勒频移的二相码信号处理方法

针对二相编码脉冲压缩雷达的信号处理、航天测控系统接收机的解扩需求,在高动态大偏差多普勒频移的场景下,对载波频率搜索捕获的处理方法复杂、计算量较大、实时性较差等问题,本文提出了一种自适应多普勒频移的二相码信号处理方法,在单脉冲的脉内实时提取多普勒频移同相信号及正交信号的波形,并且生成4个片段信号,根据各信号之间固定的时序关系,去除多普勒频移对基带信号的调制,恢复原始基带信号,进而实现脉冲压缩及接收机解扩。MATLAB仿真验证了有效性和可行性。该方法实现简捷、计算量小、实时性好、硬件资源少,对现有相关信号处理领域有一定的指导意义。

多功能信号源系统设计与数据压缩方法研究

在智能电网的各种设备安全检测中,需要信号源模拟多种故障信号,重复配置大量试验参数。针对这一需求,设计了一个多功能及操作便捷的信号源系统。该信号源系统能够输出多路可调直流、交流信号,还可配置开入量、开出量信号进行状态序列试验,模拟多种运行故障;利用SQLite存取试验数据,可快速进行多种电气试验,提升检测效率;使用混合熵编码与提升格式的小波变换等算法对录波文件(COMTRADE格式)进行压缩,节省存储空间,较对比算法有更高的压缩比和更低的重构误差。经测试,系统能够实现用户自定义的信号调制,模拟电力系统多种故障信号,在工程现场应用取得了良好的效果。

基于相位编码波形和非匹配滤波器设计的间歇采样转发干扰抑制方法

间歇采样转发干扰(ISRJ)利用信号欠采样原理和匹配滤波特点,在雷达信号距离维上产生多个数量可控的虚假目标点。根据ISRJ采样函数特点,本文提出一种针对ISRJ的相位编码波形和非匹配滤波器设计方法。在雷达发射信号前,根据干扰的脉冲宽度和重复频率参数,设计适用于抑制ISRJ的非匹配滤波的相位编码信号。在接收到带有干扰的回波后,根据ISRJ采样函数与发射前设计的编码信号,构建抑制ISRJ的非匹配滤波器,降低干扰能量。仿真结果表明,与传统未经处理的相位编码信号相比,所提方法优化设计的信号表现出更好的抗干扰能力。

七氟烷对恶性肿瘤影响的研究进展

恶性肿瘤在世界范围内严重威胁人类健康,其主要的治疗方法是外科手术切除,但术中麻醉药的使用能影响肿瘤患者预后。七氟烷是临床上常用的全麻药,大量的基础实验表明七氟烷可通过调节信号通路、非编码RNA(non-coding RNA,ncRNA)和免疫功能等机制对肿瘤产生不同的影响。此外,虽然临床实验发现七氟烷能够影响肿瘤患者预后,但此结论尚未统一。因此,该文就七氟烷对恶性肿瘤的不同影响及相关分子机制及七氟烷与肿瘤患者预后的关系进行综述,以期为肿瘤患者术中麻醉药的选择提供参考。

SIGNAL模型多线程代码生成研究

反应式系统是指与环境不断发生交互的控制系统。这类系统通过接收外部环境输入,对输入进行计算,并将计算结果反馈到外部环境来控制系统的行为。同步语言是一种规约反应式系统的建模语言,同步语言的优势在于支持形式化验证和精确的代码自动生成。面向多时钟同步语言SIGNAL,提出了一种SIGNAL模型到多线程Java代码生成过程。该代码生成过程基于以下3种中间结构:同步时钟卫式操作、卫式操作和带划分的卫式操作。将整个代码生成过程分为4个主要转化步骤,给出每一步转化规则。最后对空客A340的警报系统进行实例分析,评估生成代码的正确性。多线程Java代码生成可以为SIGNAL模型在分布式和多核体系下的应用提供支撑。

机载低轨卫星通信发展及关键技术综述

卫星通信是保障机载平台远程飞行的主要通信手段。低轨卫星通信具有传输损耗小、传输时延短、卫星发射灵活、能全球覆盖等优点,已成为机载卫星通信领域的研究热点。梳理了国内外机载低轨卫星通信技术发展历程,开展了机载低轨卫星通信应用分析,重点从相控阵天线、信号同步、编码调制、接入与切换等方面阐述了机载低轨卫星通信需要解决的关键技术,探讨了机载低轨卫星通信发展趋势,可为机载低轨卫星通信系统建设应用提供借鉴。

主要信号通路和非编码RNA对骨骼肌发育的调控研究进展

骨骼肌是动物躯体的重要组成部分,不仅直接影响经济动物的产肉性能和肉品质,还与机体运动、代谢密切相关。骨骼肌发育受多种信号共同调节,WNT、NOTCH、BMP、TGF-β、PI3K/AKT是参与调控骨骼肌发育的主要信号通路,非编码RNA(miRNA、lncRNA、circRNA)也在骨骼肌发育中发挥重要调控作用。本文总结了主要信号通路和非编码RNA在哺乳动物骨骼肌发育中的调控作用及其机制,以期为骨骼肌发育中调控网络研究提供参考。

基于糖酵解的中医药抗恶性肿瘤机制研究进展

癌细胞依靠糖酵解获得能量以供生长繁殖是癌症发展的核心环节。造成癌细胞有氧糖酵解增强的主要原因与糖酵解关键酶及其转运蛋白、信号通路、非编码RNA密切相关。近年来研究显示,多种中药单体(或其活性成分)及复方能够通过调控肿瘤细胞糖酵解发挥抗肿瘤作用,提升癌症中晚期患者的生存质量,延长生存期。本文以糖酵解为切入点,分别从通过靶向葡萄糖转运体,下调单羧酸转运蛋白、己糖激酶表达、磷酸果糖激酶的表达,调节丙酮酸激酶、乳酸脱氢酶的活性,抑制糖酵解过程;从myc、Ras等促癌基因及磷脂酰肌醇3-激酶/蛋白激酶B/哺乳动物雷帕霉素靶蛋白通路等代谢通路研究有氧糖酵解抗肿瘤机制;从微小RNA、长链非编码RNA等非编码RNA等三方面,总结近年来基于糖酵解的中医药抗恶性肿瘤机制,以期为中医药抗肿瘤研究提供参考。