Full-domain collaborative deployment method of multiple interference sources and evaluation of its deployment effect

This paper realizes the full-domain collaborative deployment of multiple interference sources of the global satellite navigation system(GNSS)and evaluates the deployment effect to enhance the ability to disturb the attacker and the capability to defend the GNSS during navigation countermeasures.Key evaluation indicators for the jamming effect of GNSS suppressive and deceptive jamming sources are first created,their evaluation models are built,and their detection procedures are sorted out,as the basis for determining the deployment principles.The principles for collaboratively deploying multi-jamming sources are developed to obtain the deployment structures(including the required number,structures in demand,and corresponding positions)of three single interference sources required by collaboratively deploying.Accordingly,simulation and hardware-in-loop testing results are presented to determine a rational configuration of the collaborative deployment of multi-jamming sources in the set situation and further realize the full-domain deployment of an interference network from ground,air to space.Varied evaluation indices for the deployment effect are finally developed to evaluate the deployment effect of the proposed configuration and further verify its reliability and rationality.

Localization for mixed near-field and far-field sources under impulsive noise

In order to solve the problem that the performance of traditional localization methods for mixed near-field sources(NFSs)and far-field sources(FFSs)degrades under impulsive noise,a robust and novel localization method is proposed.After eliminating the impacts of impulsive noise by the weighted out-lier filter,the direction of arrivals(DOAs)of FFSs can be estimated by multiple signal classification(MUSIC)spectral peaks search.Based on the DOAs information of FFSs,the separation of mixed sources can be performed.Finally,the estimation of localizing parameters of NFSs can avoid two-dimension spectral peaks search by decomposing steering vectors.The Cramer-Rao bounds(CRB)for the unbiased estimations of DOA and range under impulsive noise have been drawn.Simulation experiments verify that the proposed method has advantages in probability of successful estimation(PSE)and root mean square error(RMSE)compared with existing localization methods.It can be concluded that the proposed method is effective and reliable in the environment with low generalized signal to noise ratio(GSNR),few snapshots,and strong impulse.

NEAR-FIELD SOURCE LOCALIZATION METHOD AND APPLICATION USING THE TIME REVERSAL MIRROR TECHNIQUE

In order to develop the acoustic keyboard for Personal Computer(PC),it is necessary to seek high-precision near-field source localization algorithm for identifying the keyboard characters.First of all,the focusing property of Time Reversal Mirror(TRM) is introduced,and then a mathe-matical model of microphone array receiving typing sound is established according to the realization of acoustic keyboard from which the TRM localization algorithm is carried out.The results through computer simulation show that the localization Root Mean Square Error(RMSE) performance of the algorithm can reach 10-3,which demonstrates that the algorithm possesses a high accuracy for the actual near-field acoustic source localization,with potential of developing the computer acoustic keyboard.Furthermore,for the purpose of testing its effect on actual near-field source localization,we organize three experiments for acoustic keyboard characters localization.The experiment results show that the positioning error of TRM algorithm is less than 1 cm within a provided acoustic keyboard region.This will provide theoretical guidance for the further research of computer acoustic keyboard.

A search-free near-field source localization method with exact signal model

Most of the near-field source localization methods are developed with the approximated signal model,because the phases of the received near-field signal are highly non-linear.Nevertheless,the approximated signal model based methods suffer from model mismatch and performance degradation while the exact signal model based estimation methods usually involve parameter searching or multiple decomposition procedures.In this paper,a search-free near-field source localization method is proposed with the exact signal model.Firstly,the approximative estimates of the direction of arrival(DOA)and range are obtained by using the approximated signal model based method through parameter separation and polynomial rooting operations.Then,the approximative estimates are corrected with the exact signal model according to the exact expressions of phase difference in near-field observations.The proposed method avoids spectral searching and parameter pairing and has enhanced estimation performance.Numerical simulations are provided to demonstrate the effectiveness of the proposed method.

For LEO Satellite Networks: Intelligent Interference Sensing and Signal Reconstruction Based on Blind Separation Technology

In LEO satellite communication networks,the number of satellites has increased sharply, the relative velocity of satellites is very fast, then electronic signal aliasing occurs from time to time. Those aliasing signals make the receiving ability of the signal receiver worse, the signal processing ability weaker,and the anti-interference ability of the communication system lower. Aiming at the above problems, to save communication resources and improve communication efficiency, and considering the irregularity of interference signals, the underdetermined blind separation technology can effectively deal with the problem of interference sensing and signal reconstruction in this scenario. In order to improve the stability of source signal separation and the security of information transmission, a greedy optimization algorithm can be executed. At the same time, to improve network information transmission efficiency and prevent algorithms from getting trapped in local optima, delete low-energy points during each iteration process. Ultimately, simulation experiments validate that the algorithm presented in this paper enhances both the transmission efficiency of the network transmission system and the security of the communication system, achieving the process of interference sensing and signal reconstruction in the LEO satellite communication system.

Hybrid Slip Model for Near-Field Ground Motion Estimation Based on Uncertainty of Source Parameters

The hybrid slip model used to generate a finite fault model for near-field ground motion estimation and seismic hazard assessment was improved to express the uncertainty of the source form of a future earthquake.In this process, source parameters were treated as normal random variables, and the Fortran code of hybrid slip model was modified by adding a random number generator so that the code could generate many finite fault models with different dimensions and slip distributions for a given magnitude.Furth...

A novel approach to conductive EMI noise source modeling

A new approach to conductive electromagnetic interference （EMI） noise source modeling, i. e. the source internal impedance extraction, is presented. First, the impedance magnitude is achieved through an exciting probe and a detecting probe, or through calculations based on insertion loss measurement results when inserting a series nigh-value known impedance or a shunt low-value known impedance in the circuit. Then the impedance phase is extracted by the Hilbert transform （HT） of the logarithm of the obtained impedance magnitude. Performance studies show that the estimated phase error can increase greatly at a zero frequency in the Hilbert transform because of the existence of a singular point, and this effect can be eliminated by introducing a zero-point when the noise source does not include a series-connected capacitive component. It is also found that when the frequency is nigher than 150 kHz, the estimated phase error is not sensitive to the inductive source but sensitive to the capacitive source. Finally, under the conditions of the same measurement accuracies for impedance magnitude, the accuracy of complex impedance based on the HT can be improved about 10 times when compared with the accuracy of estimated parameters based on the impedance magnitude fitting method （IMFM）.

Decomposition of the Unsteady Wave Patterns for Bessho form Translating-Pulsating Source Green Function

In order to interpret the physical feature of Bessho form translating-pulsating source Green function, the phase function is extracted from the integral representation and stationary-phase analysis is carried out in this paper. The complex characteristics of the integral variable and segmentation of the integral intervals are discussed in m complex plane. In θ space, the interval [-π/2+φ,-π/2+φ-iε] is dominant in the near-field flow, and there is a one-to-one correspondence between the real intervals in m space and the unsteady wave patterns in far field. If 4τ>1(τ is the Brard number), there are three kinds of propagation wave patterns such as ring-fan wave pattern, fan wave pattern and inner V wave pattern, and if 0<4τ<1, a ring wave pattern, an outer V and inner V wave pattern are presented in far field. The ring-fan or ring wave pattern corresponds to the interval [-π+α,-π/2+φ] for integral terms about k2, and the fan or outer V wave pattern and inner V wave pattern correspond to [-π+α,-π/2) and(-π/2,-π/2+φ] respectively for terms about k1. Numerical result shows that it is beneficial to decompose the unsteady wave patterns under the condition of τ≠0 by converting the integral variable θ to m. In addition, the constant-phase curve equations are derived when the source is performing only pulsating or translating.

Independent Component Analysis Based Blind Adaptive Interference Reduction and Symbol Recovery for OFDM Systems

To overcome the inter-carrier interference （ICI） of orthogonal frequency division multiplexing （OFDM） systems subject to unknown carrier frequency offset （CFO） and multipath, this paper develops a blind adaptive interference suppression scheme based on independent component analysis （ICA）. Taking into account statistical independence of subcarriers＇ signals of OFDM, the signal recovery mechanism is investigated to achieve the goal of blind equalization. The received OFDM signals can be considered as the mixed observation signals. The effect of CFO and multipath corresponds to the mixing matrix in the problem of blind source separation （BSS） framework. In this paper, the ICA- based OFDM system model is built, and the proposed ICA-based detector is exploited to extract source signals from the observation of a received mixture based on the assumption of statistical independence between the sources. The blind separation technique can increase spectral efficiency and provide robustness performance against erroneous parameter estimation problem. Theoretical analysis and simulation results show that compared with the conventional pilot-based scheme, the improved performance of OFDM systems is obtained by the proposed ICA-based detection technique.

Near-field 3D imaging approach combining MJSR and FGG-NUFFT

A near-field three-dimensional(3 D)imaging method combining multichannel joint sparse recovery(MJSR)and fast Gaussian gridding nonuniform fast Fourier transform(FGGNUFFT)is proposed,based on a perfect combination of the compressed sensing(CS)theory and the matched filtering(MF)technique.The approach has the advantages of high precision and high efficiency:multichannel joint sparse constraint is adopted to improve the problem that the images recovered by the single channel imaging algorithms do not necessarily share the same positions of the scattering centers;the CS dictionary is constructed by combining MF and FGG-NUFFT,so as to improve the imaging efficiency and memory requirement.Firstly,a near-field 3 D imaging model of joint sparse recovery is constructed by combining the MF-based imaging method.Secondly,FGG-NUFFT and reverse FGG-NUFFT are used to replace the interpolation and Fourier transform in MF-based imaging methods,and a sensing matrix with high precision and high efficiency is constructed according to the traditional imaging process.Thirdly,a fast imaging recovery is performed by using the improved separable surrogate functionals(SSF)optimization algorithm,only with matrix and vector multiplication.Finally,a 3 D imagery of the near-field target is obtained by using both the horizontal and the pitching interferometric phase information.This paper contains two imaging models,the only difference is the sub-aperture method used in inverse synthetic aperture radar(ISAR)imaging.Compared to traditional CS-based imaging methods,the proposed method includes both forward transform and inverse transform in each iteration,which improves the quality of reconstruction.The experimental results show that,the proposed method improves the imaging accuracy by about O(10),accelerates the imaging speed by five times and reduces the memory usage by about O(10~2).

Quantum interference with independent single-photon sources over 300 km fiber

In the quest to realize a scalable quantum network,semiconductor quantum dots(QDs)offer distinct advantages,including high single-photon efficiency and indistinguishability,high repetition rate(tens of gigahertz with Purcell enhancement),interconnectivity with spin qubits,and a scalable on-chip platform.However,in the past two decades,the visibility of quantum interference between independent QDs rarely went beyond the classical limit of 50%,and the distances were limited from a few meters to kilometers.Here,we report quantum interference between two single photons from independent QDs separated by a 302 km optical fiber.The single photons are generated from resonantly driven single QDs deterministically coupled to microcavities.Quantum frequency conversions are used to eliminate the QD inhomogeneity and shift the emission wavelength to the telecommunication band.The observed interference visibility is 0.670.02(0.930.04)without(with)temporal filtering.Feasible improvements can further extend the distance to∼600 km.Our work represents a key step to long-distance solid-state quantum networks.

Two dimensional subdiffraction focusing beyond the near-field diffraction limit via metasurface

Near-field plates with the capabilities of modulating the near-field pattern and forcing the incident wave to a subwavelength spot have been experimentally investigated at microwave wavelengths.Their superlensing properties result from the radiationless electromagnetic interference.However, the material's loss and limitations of state-of-the-art nanofabricating technology pose great challenges to scale down the microwave near-field plates to the infrared or optical region.In this paper, a related but alternative approach based on metasurface is introduced which breaks the near-field diffraction limit at mid-infrared region(10.6 μm).The metasurface consists of periodic arrangement of chromium dipolar antennas with the same geometry but spatially varying orientations, which plays the dual roles in achieving the prescribed amplitude modulation and the abrupt π phase change between the subwavelength neighboring elements.As a result, a two dimensional subdiffraction focus as small as 0.037λ~2 at ~0.15λ above the metasurface is presented.In addition, the broadband response and ease fabrication bridge the gap between the theoretical investigation and valuable applications, such as near-field data storage, subdiffraction imaging and nanolithography.

Prediction of near-field strong ground motions for scenario earthquakes on active fault

A method to predict near-field strong ground motions for scenario earthquakes on active faults is proposed. First, macro-source parameters characterizing the entire source area, i.e., global source parameters, including fault length, fault width, rupture area, average slip on the fault plane, etc., are estimated by seismogeology survey, seismicity and seismic scaling laws. Second, slip distributions characterizing heterogeneity or roughness on the fault plane, i.e., local source parameters, are reproduced/evaluated by the hybrid slip model. Finally, the finite fault source model, developed from both the global and local source parameters, is combined with the stochastically synthetic technique of ground motion using the dynamic comer frequency based on seismology. The proposed method is applied to simulate the acceleration time histories on three base-rock stations during the 1994 Northridge earthquake. Comparisons between the predicted and recorded acceleration time histories show that the method is feasible and practicable.

射电天文台址周边干扰电磁兼容分析

为研究射电天文台址周边固定、移动干扰源对射电天文观测的影响,细化射电天文业务与其他业务间的电磁兼容(electromagnetic compatibility,EMC)分析,提出一种基于干扰源状态和辐射量级的EMC分析方法。首先,判断干扰源状态,依据其类型采集电磁干扰评估区域,划分区域得到各点/网格至望远镜的相对地形;然后,计算射电天文天线指向干扰源的增益并根据地形特征选用适宜电波传播模型预测电波传输损耗,进而预估干扰到达望远镜的功率大小;最后结合干扰电平限值、望远镜的指向,确定该干扰源对望远镜的干扰影响。本文对移动状态干扰源和固定状态干扰源的EMC分析与评估结果,可为台址周边电磁干扰协调及干扰兼容性分析提供技术支撑。

基于遗传算法优化BP神经网络的GNSS干扰源定位技术

全球导航卫星系统(GNSS)应用已全面深入到国家安全和国民经济当中,但由于GNSS信号到达地面后信号强度很弱,极易受到无意或有意的人为干扰。当出现压制干扰时会影响接收机正常工作,从而导致某一区域导航定位效果受到影响,因此对干扰源的排查和消除十分重要。针对上述压制干扰,通过在监测区域分布一定数量低成本接收机,利用其接收的载噪比数据特征实现干扰源的位置估计。考虑到信号传播过程中的衰减模型是非线性的,提出了基于遗传算法(Genetic Algorithm,GA)优化反向传播(Back Propagation,BP)神经网络的干扰源定位方法,通过神经网络学习得到监测区域载噪比特征的复杂非线性关系,GA对神经网络的初始权值和阈值进行优化,最终在监测区域通过梯度下降法搜索出干扰源位置。结果表明,GA优化后的网络预测误差更小,能够初步定位干扰源位置且平均定位误差率(Average Localization Error Rate,ALER)约为0.23%,验证了模型的合理性和有效性。

流气式低本底α/β测量仪的串道特征及干扰修正

研究了一系列α、β金属平面源、粉末源及薄层样法自制面源在流气式低本底α/β测量仪上的串道现象。结果显示:^(90)Sr-^(90)Y金属面源以及 ^(14)C,^(137)Cs,^(90)Sr-^(90)Y, ^(40)K粉末源β对α通道的串道比均在0.1%以下,基本可以忽略不计;α金属平面源串道比大小规律表现为 ^(210)Po<^(209)Po<^(239)Pu<^(239)Pu-^(241)Am混合源<241Am,范围为3.49%~25.4%,发射不同能量粒子的α金属源的串道比差异较大。由于衰变过程产生的内转换电子、俄歇电子以及X射线等在β道产生响应,241Am源的串道比明显高于其他源,241Am粉末源的串道比随单位面积质量厚度增加而增大。α粒子对β通道的串道现象较明显,并与样品制源方式有关,主要是不同制源方式造成的自吸收差异导致的,总体有α粉末源串道比>薄层样法自制α面源>α金属平面源,测量时应重点考虑α粒子对β放射性的串道干扰。通过210Po加标样及牡蛎样品经放化分析制成的电镀源验证,对待测样品源进行一定厚度的铝箔或纸片覆盖,可以有效的减小α粒子对β通道的串道干扰;也可以直接利用串道比对测量计数进行修正,此时需要考虑待测样品源和串道比刻度源的一致性,否则会导致修正结果的偏差较大。

琼中地电场观测干扰排查实验分析

自2014年观测至今,琼中地电场观测数据长期受到干扰,每次干扰时长几小时到十几小时不等,干扰幅度为几十mV/km至几千mV/km,观测曲线形态表现为突跳或台阶,其数据可用性降低。基于此,从自然环境、观测装置、主机、场地环境等方面展开逐一排查,并采用长短极距比值干扰源定位方法,确定引起数据阶变的干扰源,解决台站固定时间段漏电干扰引起数据不能使用的问题,提高数据可靠性。分析结果可为其他台站电磁环境干扰排查提供借鉴。

多源干扰下侧扫声呐图像复原的综合校正研究

为了减少因海洋环境以及侧扫声呐工作机理等干扰所造成的声呐图像畸变,提出多源干扰下侧扫声呐图像复原的综合校正方法。针对辐射图像明暗区域差异明显、轮廓特征模糊等问题,基于双伽马函数和Retinex理论设计辐射均衡化和轮廓清晰化算子,实现了图像辐射校正;针对环境干扰及工作机理所造成的图像水柱区及图像压缩等问题,设计了海底点检测因子并通过获取实际平距实现斜距校正;针对AUV速度波动造成的图像异常拖拽和压缩等问题,基于经纬度设计航行速度,并通过校正比例系数复原图像块来实现速度校正。实验测试结果表明,相较于其它方法,文中综合校正方法不仅使校正图像具有均衡性好、特征轮廓清晰、水柱区基本消除和两舷图像衔接平滑的优点,而且SNR指标平均提升了6.060%、ENT指标平均降低了16.583%、SD指标平均降低了49.904%、ENL指标平均增加了78.347%,有效实现了侧扫声呐图像的复原。

基于优化聚类的人工源电磁法数据信噪分离方法

为了降低强电磁干扰对人工源电磁法(Controlled Source Electromagnetic Method,CSEM)有效信号的影响,改善CSEM实测数据处理结果因人而异且效率低的不足,本文针对CSEM有效信号周期性特征提出了一种加权自适应带宽均值漂移聚类(Weighted Adaptive Bandwidth Mean-Shift Clustering,WAB-MSC)信噪分离方法.首先在传统均值漂移聚类(Mean-Shift Clustering,MSC)算法的基础上增加核函数,降低处理结果对带宽选择的敏感度,提高算法的稳健性;其次结合实测CSEM数据的分布特征提出了一种基于局部密度梯度的带宽估计方法,实现了自适应带宽选择;最后通过仿真数据与实测数据对本文方法进行了验证,结果表明:本文方法能有效消除强电磁干扰对CSEM数据的影响,最大程度保留受噪声影响较小或未受噪声影响的数据,提高数据信噪比,降低强干扰噪声对CSEM初始资料的影响程度,获得更为真实的地电响应模型,为后续数据处理提供保障.

汽车组合仪表有意电磁干扰空时域联合分离系统设计

有意电磁波与汽车仪器电磁传输波产生的混合干扰,降低了汽车组合仪表的稳定运行能力,造成仪表设备失灵;为避免上述情况的发生,设计汽车组合仪表有意电磁干扰空时域联合分离系统;在步进电机驱动电路中,设置汽车组合仪表控制器、分离电源与PCB电路板、有意电磁干扰数字传感器;分配有意电磁波空时域源地址,通过计算干扰信号平坦度的方式,确定脉冲参数的取值范围,实现汽车组合仪表有意电磁的空时域干扰效应分析;估算有意电磁波干扰信号的数目,按照信号分解的处理原则,求解联合分离修正函数,实现电磁干扰的联合分离;在设置频率范围在100 MHz~1 GHz之间、幅度范围为0.5~5 V、脉冲宽度范围为10~100 ns区间后,通过实验结果表明,设计系统应用后可以在混合信号中,按照空域、时域标准的不同分离有意电磁波,且分离后的信号波长、信号频率依然在1.0μm、300 Hz左右,不会因混合干扰降低汽车组合仪表的稳定运行能力。