Distributed wide field electromagnetic method based on high-order 2^(n) sequence pseudo random signal

To make three-dimensional electromagnetic exploration achievable,the distributed wide field electromagnetic method(WFEM)based on the high-order 2^(n) sequence pseudo-random signal is proposed and realized.In this method,only one set of high-order pseudo-random waveforms,which contains all target frequencies,is needed.Based on high-order sequence pseudo-random signal construction algorithm,the waveform can be customized according to different exploration tasks.And the receivers are independent with each other and dynamically adjust the acquisition parameters according to different requirements.A field test in the deep iron ore of Qihe−Yucheng showed that the distributed WFEM based on high-order pseudo-random signal realizes the high-efficiency acquisition of massive electromagnetic data in quite a short time.Compared with traditional controlled-source electromagnetic methods,the distributed WFEM is much more efficient.Distributed WFEM can be applied to the large scale and high-resolution exploration for deep resources and minerals.

Development of a wide-range and fast-response digitizing pulse signal acquisition and processing system for neutron flux monitoring on EAST

The neutron count rate fluctuation reaches six orders of magnitude between the ohmic plasma scenario and high power of auxiliary heating on an experimental advanced superconducting tokamak(EAST).The measurement result of neutron flux monitoring(NFM)is a significant feedback parameter related to the acquisition of radiation protection-related information and rapid fluctuations in neutron emission induced by plasma magnetohydrodynamic activity.Therefore,a wide range and high time resolution are required for the NFM system on EAST.To satisfy these requirements,a digital pulse signal acquisition and processing system with a wide dynamic range and fast response time was developed.The present study was conducted using a field-programmable gate array(FPGA)and peripheral component interconnect extension for instrument express(PXIe)platform.The digital dual measurement modes,which are composed of the pulse-counting mode and AC coupled square integral's Campbelling mode,were designed to expand the measurement range of the signal acquisition and processing system.The time resolution of the signal acquisition and processing system was improved from 10 to 1 ms owing to utilizing highspeed analog-to-digital converters(ADCs),a high-speed PXIe communication with a direct memory access(DMA)mode,and online data preprocessing technology of FPGA.The signal acquisition and processing system was tested experimentally in the EAST radiation field.The test results showed that the time resolution of NFM was improved to 1 ms,and the dynamic range of the neutron counts rate was expanded to more than 10^(6) counts per second.The Campbelling mode was calibrated using a multipoint average linear fitting method;subsequently,the fitting coefficient reached 0.9911.Therefore,the newly developed pulse signal acquisition and processing system ensures that the NFM system meets the requirements of high-parameter experiments conducted on EAST more effectively.

WIDELY LINEAR RLS CONSTANT MODULUS ALGORITHM FOR COMPLEX-VALUED NONCIRCULAR SIGNALS

Based on the constant modulus criterion, a new Widely Linear(WL) blind equalizer and a novel widely linear recursive least square constant modulus algorithm are proposed to improve the blind equalization performance for complex-valued noncircular signals. The new algorithm takes advantage of the WL filtering theory by taking full use of second-order statistical information of the complex-valued noncircular signals. Therefore, the weight vector contains the complete second-order information of the real and imaginary parts to decrease the residual inter-symbol interference effectively. Theoretical analysis and simulation results show that the proposed scheme can significantly improve the equalization performance for complex-valued noncircular signals compared with traditional blind equalization algorithms.

Evaluation of System Performance of Ultra-Wide Band Jointing in MC Signaling in Correlated Environments

The evaluation of System Performance of UWB (ultra-wide band) jointing in MC (multi-carrier) signaling in correlated environments is presented in the report. The correlated Nakagami-m statistical distribution for the multipath fading model is assumed in this scenario. In fact to establish the model for analyzing in this article is using MC-CDMA (multi-carrier code-division multiple-access) system characterization combined with a UWB scheme. The average BER (bit error rate) is calculated and compared to a special case of previously published results. Studied results from this paper can be implied to approve the system performance for a UWB system combined with a MC-CDMA wireless communication system. It is worth noting that the Nakagami-m distributed fading parameter significantly dominates UWB system performance when it cooperates with MC signaling under a fading environment. Finally, it is worthy of noting that when the SNR (signal-to-noise ratio) at system’s receiver reaches a preset high threshold value, the parameter of power decay ratio effect could be not included.

基于异构多智能体自注意力网络的路网信号协调顺序优化方法

针对路网交通信号控制的复杂性,本文提出基于异构多智能体自注意力网络的路网信号协调顺序优化方法,提升路网范围内多交叉口信号控制策略性能。首先,模型考虑多交叉口交通流的空间相关性,采用基于自注意力机制的价值编码器学习交通观测表征,实现路网级通信;其次,面向多智能体策略更新的非稳态环境,模型在前序智能体的联合动作基础上,基于多智能体优势分解的策略解码器,顺序决策最优反应动作;最后,设计基于有效行驶车辆的动作掩码机制,在时效完备区间自适应调节决策频率,并提出考虑等待公平性的时空压力奖励函数,进一步提高策略性能与实用性。在杭州路网数据集上验证模型有效性,结果表明:所提模型在2个数据集和5个性能指标上均优于基准模型;相比最优基准模型,所提模型平均行程时间降低10.89%,平均排队长度降低18.84%,平均等待时间降低22.21%。此外,所提模型的泛化能力更强,且显著减少车辆等待时间过长的情形。

基于全基因组SNPs标记对河南斗鸡遗传多样性及选择信号分析

【目的】对河南斗鸡品种的遗传多样性与全基因组选择信号进行分析,挖掘河南斗鸡品种重要的种质特性基因。【方法】使用AffymetrixAxiom 600K高密度鸡基因分型芯片对来自9个品种的173只鸡的群体(包括20只河南斗鸡及153只商品鸡)进行基因分型;计算各个品种的期望杂合度、观测杂合度、次等位基因频率及核苷酸多样性评估地方鸡群体的遗传多样性;通过构建系统发育树、主成分分析、祖先成分分析方法研究品种的群体结构;利用斗鸡与商品鸡的成对遗传分化指数值进行选择信号分析。【结果】河南斗鸡及各商品鸡群体的观测杂合度为0.153~0.311,期望杂合度为0.158~0.315,次等位基因频率为0.111~0.234,核苷酸多样性为9.77×10^(-5)~1.56×10^(-4),且斗鸡的遗传多样性低于商品肉鸡品种,高于商品蛋鸡品种。系统发育树、主成分分析及祖先成分分析表明品种间有明显的群体分化。河南斗鸡与商品鸡群的主成分分析发现,河南斗鸡与商品肉鸡品种的遗传距离相对较近;将河南斗鸡和商品鸡群进行遗传选择信号后分析发现,河南斗鸡在神经,骨骼肌肉发育,免疫等性状经过高度选择。【结论】本研究从全基因组水平探究了河南斗鸡的遗传多样性和群体结构,筛选出候选基因,为河南斗鸡遗传资源保护和利用提供参考。

基于时频边界拟合的NZ估计优化方法

奈奎斯特折叠接收机(NYFR)可以用少量设备实现宽带雷达信号接收,而测量接收信号的波形参数需要正确估计信号所在的奈奎斯特区(NZ)。针对目前广泛应用的线性调频(LFM)信号,在分析LFM信号经NYFR采样后时频图的基础上,对基于时频边界拟合的NZ估计方法进行了优化;讨论了NYFR结构中本振信号的调制系数和调制频率对该方法性能的影响,给出了NYFR的参数选择策略。仿真结果表明,优化后的时频边界拟合方法在信噪比优于-9 dB时,正确检测概率可达100%。

直驱风电场并网系统宽频振荡小干扰稳定判据及稳定性分析

并网电力系统中多直驱风电机组(direct-driven permanent magnet synchronous generator,PMSG)风电场可能出现次同步/超同步振荡现象,为深入的研究直驱风电场并网系统的宽频振荡,文章对多PMSG风电场并网系统进行了一系列研究。首先,针对次同步振荡频率场景和超同步振荡频率场景分别建立了单台PMSG的简化数学模型。然后,结合风电场的等效降阶法求解了多PMSG风电场并网系统的特征方程,运用劳斯赫尔维兹判据得出各频率场景下并网系统中风电场的稳定性判据,从解析的角度分析了并网系统中各运行参数对系统稳定性的影响。最后,通过一个可扩展的多PMSG风电场并网系统验证了文中提出的风电场等效降阶模型下的稳定判据是可行有效的,并直观的讨论了并网系统中PMSG风电机组数量以及长线路等效电抗变化对并网系统稳定性的影响。

宽谱域光电探测器阵列信号实时处理算法优化研究

宽谱域光电探测器阵列是一种先进的光电设备,能够在广泛的光谱范围内检测光信号,光谱范围覆盖从红外到紫外的大部分光谱。然而,宽谱域探测器产生的数据量巨大,对实时处理算法提出了极高的要求。本文介绍了宽谱域光电探测器阵列的基本原理,探讨了新型算法的设计与优化方法。实践证明,该优化方法能够显著提高宽谱域光电探测器阵列信号的实时处理效率。

LoRa信号干扰分析与性能研究

LoRa(Long Range radio)系统在当前不断发展的低功率广域网(LPWAN)中处于相对领先地位。它的MAC层采用的是基于ALOHA的接入协议。该接入机制虽然简单易实现,但同时也容易加剧冲突和碰撞的发生,降低整个系统的通信性能。因此,需要研究多个终端同时占用信道资源时的相互干扰情况,而LoRa信号的扩频因子(SF)将决定信号的通信覆盖范围。因此,分析了干扰信号的SF与发送信号的SF相同以及不同时,干扰信号对发送信号解调性能的影响。实验结果表明,相同SF信号间的干扰影响相对较大,而干扰信号使用的SF与发送信号不同时,干扰的影响相对较小。通过理论分析,获得了接收端正确解调时所要求的信干比(SIR)。可见,不同SF的LoRa信号可看作伪正交。

瑞利散射信号的远距离OPGW光缆断纤定位研究

光纤复合架空地线(OPGW)容易因雷击、覆冰、烧损、断股而形成断纤故障,导致骨干电源与调度通信中断,威胁电力系统用电安全。随着光纤应用领域的逐渐扩大,大范围的断纤故障检测成为难题。提出基于广域测量的远距离OPGW光缆断纤定位方法。在瑞利散射原理的基础上,采集入射光子进入OPGW光缆核心结构时反射的瑞利散射信号。利用信号波形特征保留度最高的快速傅里叶变换,以消除瑞利散射信号噪声。通过相位调制器拟合瑞利散射信号在三维视角下的幅值波动情况,识别信号幅值大幅跌落的OPGW光缆断纤位置。利用幅值大幅变化的瑞利散射信号特征可以远距离捕获的特点,实现远距离OPGW光缆断纤定位。试验结果表明,所提方法定位距离远、精度高、效率高。通过所提方法的应用,可以及时准确地定位OPGW光缆中的断纤位置,帮助维护人员快速响应和处理故障,从而最大限度减少因断纤故障而造成电力系统中断的时间,提高电力系统的可靠性和稳定性。

超宽频带范围开关磁阻电机电子干扰信号调制方法

传统的电子干扰信号调制方法,只能对特定频段的干扰信号进行抑制,导致误比特率值较大,因此设计一种超宽频带范围开关磁阻电机电子干扰信号调制方法。构建一个可调的开关磁阻电机电子干扰信号模型。该模型可模拟不同频段和幅度的干扰信号,对干扰信号进行振幅调制,通过改变信号的幅度调整其对电机性能的影响,采用多比特差分检测方法对调制后的信号进行检测。实验结果表明,设计的超宽频带范围开关磁阻电机电子干扰信号调制方法,误比特率明显低于其它两种方法,误比特率最低达0.02,证明该方法的信号调制最佳。

A Novel UWB Signal Sampling Method for Localization based on Compressive Sensing

Ultra-wide-band (UWB) signals are suitable for localization, since their high time resolution can provide precise time of arrival (TOA) estimation. However, one major challenge in UWB signal processing is the requirement of high sampling rate which leads to complicated signal processing and expensive hardware. In this paper, we present a novel UWB signal sampling method called UWB signal sampling via temporal sparsity (USSTS). Its sampling rate is much lower than Nyquist rate. Moreover, it is implemented in one step and no extra processing unit is needed. Simulation results show that USSTS can not recover the signal precisely, but for the use in localization, the accuracy of TOA estimation is the same as that in traditional methods. Therefore, USSTS gives a novel and effective solution for the use of UWB signals in localization.

Widely linear UKF constant modulus algorithm for blind adaptive beamforming

Based on a uniform linear array, a new widely linear unscented Kalman filter-based constant modulus algorithm (WL-UKF-CMA) for blind adaptive beamforming is proposed. The new algorithm is designed according to the constant modulus criterion and takes full advantage of the noncircular property of the signal of interest (SOI), significantly increasing the output signal-to interference-plus-noise ratio (SINR), enhancing the convergence speed and decreasing the steady-state misadjustment. Since it requires no known training data, the proposed algorithm saves a large amount of the available spectrum. Theoretical analysis and simulation results are presented to demonstrate its superiority over the conventional linear least mean square-based CMA (L-LMS-CMA), the conventional linear recursive least square-based CMA (L-RLS-CMA), WL-LMS-CMA, WL-RLS-CMA and L-UKF-CMA.

2-D SPATIAL-SPECTRUM ESTIMATION FORWIDE-BAND SOURCES BASED ON INTERPOLATED CIRCULAR ARRAYS

In array signal processing, 2-D spatial-spectrum estimation is required to determine DOA of multiple signals. The circular array of sensors is found to possess several nice properties for DOA estimation of wide-band sources. C. U. Padmini, et al.(1994) had suggested that the frequency-direction ambiguity in azimuth estimation of wide-baud signals received by a uniform linear array (ULA) can be avoided by using a circular array, even without the use of any delay elements. In 2-D spatial-spectrum estimation for wide-band signals, the authors find that it is impossible to avoid the ambiguity in source frequency-elevation angle pairs using a circular array. In this paper, interpolated circular arrays are used to perform 2-D spatial-spectrum estimation for wide-band sources. In the estimation, a large aperture circular array (Υ】λmin/2) is found to possess superior resolution capability and robustness.

高峰值电压长寿命超宽带时域信号源

设计了一款基于雪崩晶体管和Marx电路的超宽带(UWB)时域信号源,其具有较高的峰值电压、较快的上升沿、较窄的半脉宽、较高的重频、较长的寿命等特点。通过8路功率合成的方法,在电路成本较低的前提下,改善了输出电压饱和的问题,提高了信号源的输出电压。通过晶体管并联技术,在高峰值电压输出的情况下,提高了信号源的寿命。最终信号源实现了峰值电压10 kV,上升沿183 ps,半脉宽750 ps。在重频为20 kHz下,可以连续工作超过45 min。该信号源可用于对目标的探测、干扰、攻击和物质处理等领域。

多链路即时通信干扰信号广域监测系统设计

为了实现多链路即时通信信号实时、可靠传输,针对干扰信号设计了一种广域监测系统。系统硬件主要包括通信发射机、通信接收机和干扰机三部分。接收机通过滤波器将接收的原始信号转换成中频信号,利用扩频器完成信号识别,分析数据信息状态,确保信号同步。通信信号发射机利用DSP进行信号处理,采用PCM完成数据编码,减少内部冗余信息,使用干扰检测机内部的减法器,消除模拟信号的相关信息,完成序列匹配,补充各项信号。分析干扰信号的内点方式,完成报文数据编码,在多链路通信信道内部完成鲁棒性优化,识别信号信息,通过参数校验完成识别处理,确定内部的通信干扰信号。实验结果表明,设计的多链路即时通信干扰信号广域监测系统传输精度在95%以上,能够快速完成信号监测,具有较好的实际应用效果。

复杂干扰场景下的稳健自适应波束形成

针对复杂电磁环境中最小方差无畸变响应及干扰加噪声协方差矩阵重构波束形成器输出信干噪比下降的问题,本文基于均匀圆阵(uniform circular array,UCA)提出了一种适用于该场景的稳健自适应波束形成算法。所提算法利用稀疏重构技术得到的谱函数构造和改进干扰抑制矩阵,使其在干扰方位产生宽零陷,提高了算法的稳定性。考虑到UCA存在副瓣电平高及空间非均匀采样问题,利用二阶约束优化准则抑制UCA副瓣,使得所提算法在抑制干扰的同时具有较低的波束副瓣。当UCA半径选择合适时,所提算法的性能与最优波束形成器接近,仿真验证了所提算法的有效性。

基因组选择信号揭示西×荷杂交牛杂种优势相关基因

为探究德系西门塔尔牛与荷斯坦牛的杂种优势,挖掘与杂种优势相关的候选基因,解析牛杂种优势的遗传机制。该研究选择系谱信息清晰的德系西门塔尔牛(父本)、荷斯坦牛(母本)及其杂交F_(1)代共91头个体,利用Illumina Bovine GGP100K高密度芯片进行基因分型,基于群体分化系数Fst对其开展研究,鉴定杂种优势相关基因。结果表明,F_(1)代与德系西门塔尔牛(父本)Fst分析发现,在全基因组水平Top 1%的阈值内,检测到859个SNPs位点区域Fst值>0.19,注释到候选基因249个;与荷斯坦牛(母本)的Fst分析,发现有860个SNPs位点区域Fst值>0.15,注释到261个候选基因。基因Pathway富集分析发现,F_(1)代与父本间受到选择的基因主要富集在轴突引导通路(P<0.01);与母本间受到选择的基因主要富集在灶性粘连和催乳素信号通路(P<0.05),这些通路上的基因可能对杂交后代杂种优势的产生具有较大的影响。对F_(1)代与父本、母本共同受到选择的SNPs位点进行定位与注释,鉴定发现共有38个与牛生长发育、产奶、肉质、胴体、繁殖等性状相关的基因,如OXTR、CHKA、PRKN等。结果表明这些基因可能为西×荷杂交牛杂种优势相关基因,并为西荷杂种优势利用提供了参考依据。

基于全特征值轨迹多项式逼近的双馈风机并网宽频振荡分析

高比例新能源接入下的电力系统振荡呈现宽频特性,其阻尼和振荡频率受系统参数影响显著。为避免运行参数变化和控制器参数设置不当造成系统失稳,亟须量化系统振荡模态与参数之间的关系并分析其背后隐藏的机理。文中提出了基于多项式逼近的全特征值轨迹计算方法,通过一系列多项式基函数的线性组合来准确描述系统所有特征值与多个参数之间复杂的隐式函数关系,得到特征值变化轨迹的显式表达式。针对双馈风机并网系统进行了详细电磁暂态建模,以单机无穷大系统和风火打捆外送系统为例,验证了所提方法的准确性,并利用特征值轨迹显式表达式分析了线路串补度、转子侧控制器比例和积分系数等重要参数对双馈风机并网系统次同步振荡、低频振荡等关键模态的影响。