Discussion on the application prospect of the transient electromagnetic method based on the dual launcher and mine advanced detection

The dual transmitter implements the equivalent anti-magnetic flux transient electromagnetic method, which can effectively reduce the scope of the transient electromagnetic detection blind area. However, this method is rarely reported in the detection of pipelines in urban geophysical exploration and the application of coal mines. Based on this, this paper realizes the equivalent anti-magnetic flux transient electromagnetic method based on the dual launcher. The suppression effect of this method on the blind area is analyzed by physical simulation. And the detection experiment of underground pipelines is carried out outdoors. The results show that the dual launcher can significantly reduce the turn-off time, thereby effectively reducing the impact of the blind area on the detection results, and the pipeline detection results verify the device’s effectiveness. Finally, based on the ground experimental results, the application prospect of mine advanced detection is discussed. Compared with other detection fields, the formation of blind areas is mainly caused by the equipment. If the dual launcher can be used to reduce the blind area, the accuracy of advanced detection can be improved more effectively. The above research results are of great significance for improving the detection accuracy of the underground transient electromagnetic method.

Sensor scheduling for ground maneuvering target tracking in presence of detection blind zone

Continuous and stable tracking of the ground maneuvering target is a challenging problem due to the complex terrain and high clutter. A collaborative tracking method of the multisensor network is presented for the ground maneuvering target in the presence of the detection blind zone(DBZ). First, the sensor scheduling process is modeled within the partially observable Markov decision process(POMDP) framework. To evaluate the target tracking accuracy of the sensor, the Fisher information is applied to constructing the reward function. The key of the proposed scheduling method is forecasting and early decisionmaking. Thus, an approximate method based on unscented sampling is presented to estimate the target state and the multi-step scheduling reward over the prediction time horizon. Moreover, the problem is converted into a nonlinear optimization problem, and a fast search algorithm is given to solve the sensor scheduling scheme quickly. Simulation results demonstrate the proposed nonmyopic scheduling method(Non-MSM) has a better target tracking accuracy compared with traditional methods.

Blind detection of liquefaction by existing methods for New Zealand M_L6.3 earthquake on Feb. 22,2011

Real-time liquefaction monitoring and warning techniques are new ways to mitigate liquefaction hazard. A key point is to establish a reverse liquefaction detection method based on seismic records. However, the existing methods are quite limited and the reliability requires verification. On Feb. 22, 2011 an earthquake of magnitude 6.3 struck at New Zealand＇s South Island. Remarkable liquefaction phenomena were reported, which provide an opportunity to verify the existing liquefaction detection methods. 27 acceleration records within 50 km to the epicenter were selected to perform a blind detection by using the existing methods, including Miyajima method, Suzuki method, Kostadinov-Yamazaki method and Yuan-Sun method. The blind detection results indicate that Yuan-Sun method gives correct results for seven confirmed sites, and Suzuki method and Yuan-Sun method yield correct detection for a reported non-liquefied site. Four methods including the Yuan-Sun method give identical detection for four sites and three methods also including the Yuan-Sun method give identical detection for ten sites. Besides, there are five sites, for which the four methods give opposite detection.

RLS and LMS blind adaptive multi-user detection method and comparison in acoustic communication

RLS and LMS blind adaptive multi-user detection algorithm and multi-user detector was proposed to solve the problem of multi-user signal detection problem encountered in underwater acoustic communication networks.In simulation analysis,RLS and the LMS blind adaptive multi-user detector were designed and tested for synchronous and asynchronous multi-user communication process.The results of SIR comparison and MMSE comparison show that,both of the two methods can realize blind adaptive detection when any user change in multi-user communication,during this process,the training communication sequences are not needed.The RLS algorithm has about 5 dB higher in SIR compared with LMS algorithm,and the convergence velocity of RLS algorithm is also higher than LMS algorithm when the communication users change.RLS algorithm has better ability in multi-user detection than that of LMS algorithm,and it has great attraction and guiding significance for solving the problem of multiple access interference(MAI) in multi-user communication.

Science Letters:Blind spot detection using vision for automotive applications

This paper describes a vision-based system for blind spot detection (BSD) in intelligent vehicle applications. A camera is mounted in the lateral mirror of a car with the intention of visually detecting cars that are located in the so-called blind spot and cannot be perceived by the vehicle driver. The detection of cars in the blind spot is carried out using computer vision techniques, based on optical flow and a double-stage data clustering technique for robust vehicle detection.

BLIND DIFFERENTIAL ADAPTIVE MULTIUSER DETECTION

In this paper, a new blind equalization cost function, termed differential mean output energy (DMOE), was presented, and a new multiuser detection algorithm with variable step size was designed. It is shown through simulation results for a co channel system involving severe MAI that the DMOE algorithm gives significantly enhanced signal to interference ratio (SIR) performance and converges rapidly to the optimum MMSE detector, together with a low computational complexity requirement relative to the recursive least squares (RLS) algorithm. Thus, it is not necessary to switch to the decision directed mode. Moreover, it also exhibits global convergence, and can be used in different interference environment without the requirement of estimating and restricting the surplus energy.

A VERTICAL LAYERED SPACE-TIME CODE AND ITS CLOSED-FORM BLIND SYMBOL DETECTION

Vertical layered space-time codes have demonstrated the enormous potential to accommodate rapid flow data. Thus far, vertical layered space-time codes assumed that perfect estimates of current channel fading conditions are available at the receiver. However, increasing the number of transmit antennas increases the required training interval and reduces the available time in which data may be transmitted before the fading coefficients change. In this paper, a vertical layered space-time code is proposed. By applying the subspace method to the layered space-time code, the symbols can be detected without training symbols and channel estimates at the transmitter or the receiver. Monte Carlo simulations show that performance can approach that of the detection method with the knowledge of the channel.

In-Vehicle Stereo Vision Systems with Improved Ant Colony Optimization Based Lane Detection: A Solution to Accidents Involving Large Goods Vehicles Due to Blind Spots

This paper presents an in-vehicle stereo vision system as a solution to accidents involving large good vehicle due to blind spots using Nigeria as a case study. In this paper, a stereo-vision system was attached to the front of Large Good Vehicles (LGVs) with a view to presenting live feeds of vehicles close to the LGV vehicles and their distance away. The captured road images using the stereo vision system were optimized for effectiveness and optimal vehicle maneuvering using a modified metaheuristics algorithm called the simulated annealing Ant Colony Optimization (saACO) algorithm. The concept of simulated annealing is strategies used to automatically select the control parameters of the ACO algorithm. This helps to stabilize the performance of the ACO algorithm irrespective of the quality of the lane images captured in the in-vehicle vision system. The system is capable of notifying drivers through lane detection techniques of blind spots. This technique enables the driver to be more aware of what surrounds the vehicle and make decisions early. In order to test the system, the stereo-vision device was mounted on a Large good vehicle, driven in Zaria (a city in Kaduna state in Nigeria), and data were in the record. Out of 180 events, 42.22% of potential accident events were caused by Passenger Cars, while 27.22%, 18.33% and 12.22% were caused by two-wheelers, Large Good Vehicles and road users, respectively. In the same vein, the in-vehicle lane detection system shows a good performance of the saACO-based lane detection system and gives a better performance in comparison with the standard ACO method.

Asynchronous QR-RLS-CMOE Blind Multiuser Detection

The QR-RLS-CMOE algorithm which was applied to synchronous DS/CDMA systems in AWGN channel, is modified and applied to asynchronous DS/CDMA systems in multi-path fading channel in this paper. Computer simulation experiences show that the asynchronous QR-RLS-CMOE (A-QR-RLS-CMOE) blind multiuser detection algorithm can well cancel multiple access interference and overcome multipath fading, and has a good anti-near-far effect in the case of τ<<bT .

A HYBRID INTERFERENCE CANCELLATION SCHEME FOR BLIND MULTIUSER DETECTION IN MULTIPATH FADING CHANNELS

This paper introduces and analyzes a detection scheme for adaptive suppression of Multiuser Access Interference (MAI) and MultiPath Distortion (MPD) for mobile station of DS/CDMA system. The proposed detection scheme may amount to a RAKE receiver structure,wherein each branch is considered as a linear multiuser filter designed under a Linear Constrained Minimum Variance (LCMV) optimization strategy to suppress MAI, followed by a proper combining rule to suppress MPD. The adaptive blind multiuser detecting and optimum combining of the proposed receiver are realized, based on the Least-Mean-Square (LMS) algorithm and an adaptive vector tracking algorithm respectively. Finally, the feasibility of the above two algorithms is proved by the numerical results provided by computer simulation.

AN IMPROVED SUBSPACE TRACKING ALGORITHM FOR BLIND ADAPTIVE MULTIUSER DETECTION

As the Projection Approximation Subspace Tracking with deflation(PASTd) algorithm is sensitive to impulsive noise, an improved subspace tracking algorithm is proposed and applied to blind adaptive multi-user detection. Simulation results show that the improved PASTd algorithm not only remains the properties of the conventional PASTdalgorithm, but also has good Bit Error Rate(BER) performance in impulsive noise environment, thus it can effectively improve the system performance.

一种基于Polar译码度量选择的第三方高效PDCCH盲检方法

为研究和设计面向第三方场景的高效盲检方法,提出了一种基于Polar译码度量选择的第三方高效PDCCH盲检方法,其技术路线包括Polar译码算法与物理的下行控制信道(PDCCH)盲检算法2个板块.基于Polar译码盲检算法,引入一种基于下行控制信息(DCI)长度的Polar译码度量,提出了改进的基于Polar译码度量选择的第三方盲检方法.基于PDCCH盲检算法,引入一种重排序盲检算法.将改进的Polar译码算法与重排序盲检算法有机结合,提出面向第三方场景的高效PDCCH盲检方法.基于MATLAB平台搭建5G PDCCH盲检仿真链路,对所提方法进行验证与分析.结果表明,该方法能够同时有效减小PDCCH盲检次数与DCI候选长度数量,在保证目标捕获准确率的前提下提高盲检效率.

氧化镓悬臂式薄膜日盲探测器及其电弧检测应用

金属-半导体-金属(MSM)型氧化镓薄膜探测器的性能高度依赖于氧化镓薄膜的均匀性,工艺难度较高,对规模化、量产化薄膜探测器提出了挑战.本文首次在量产化悬臂式薄膜芯片表面物理沉积氧化镓薄膜,实现了一个五对叉指电极结构的MSM型氧化镓薄膜日盲探测器.得益于微机电系统(MEMS)工艺制备的悬臂式电极结构保护了内部电路与探测薄膜的完整均匀性,所获得的氧化镓薄膜虽然是非晶结构,但探测器仍然具备良好的紫外探测性能.在18 V偏压下其探测率达到7.9×10^(10) Jones,外量子效率达到1779%,上升和下降时间分别为1.22 s和0.24 s,接近晶体氧化镓薄膜的探测性能.该探测器在无任何光学聚焦系统的情况下,实现了对户外日光环境下脉冲电弧的灵敏检测,将在日盲探测领域具有良好的潜在应用价值.本工作基于MEMS工艺的悬臂式电极结构开发的敏感功能薄膜沉积技术,避免了功能薄膜大面积均匀性对刻蚀电路的影响,为MSM型薄膜探测器的制备提供了新的技术方法和工艺路线.

基于Voronoi图的无线传感网络覆盖盲区检测方法

传感网络的空洞暴露程度较少,在检测网络覆盖情况时更容易出现误差,影响盲区的检测效果。为此,提出基于Voronoi图的无线传感网络覆盖盲区检测方法。根据节点分布关系推测无线传感网络覆盖情况,在Voronoi图的指导下排除已覆盖区域,获取具备检测条件的未覆盖无线传感网络空洞。计算网络空洞的暴露程度和节点能量,作为特征样本输入粒子群分离器中,根据分类器的输出结果,实现无线传感网络覆盖盲区检测。仿真结果表明,所提方法不同覆盖盲区数量下的检测时长低于0.2 s、不同节点数量下的检测能耗低于20 J、不同空洞圆心距下的覆盖盲区差异度最高为0.24,证明所提方法具有较好的无线传感网络覆盖盲区检测效果。

双反射与透射结合的激光引信扫描系统

针对激光引信周向扫描系统光束发散角大且存在扫描盲区的问题,设计了一种基于双反射与透射结合的激光引信扫描系统。阐述了系统结构尺寸的约束并通过光线追踪分别对系统扫描过程中光束发散角和扫描角度进行了仿真,并研究了超环面和六棱台镜面的面型参数调整与光束发散角、扫描角度之间的影响。仿真结果表明:通过控制光阑位置可以实现单窗口的扫描角度达61°,六窗口组合可实现无盲区扫描;通过调整反射面参数来矫正透射场曲可实现全扫描角度光束最大发散角为0.034°;扫描路线会出现波浪式起伏,需要进一步匹配收发视场实现远距离无盲区扫描。该系统为激光引信远距离周向探测提供了技术支撑。

基于深度学习的盲道和盲道障碍物识别算法

盲道和盲道障碍物是影响盲人出行安全的重要因素,现有算法只对盲道分割和盲道障碍物检测单独处理,效率低且计算量大。针对上述问题,文中提出了一种基于深度学习的多任务识别算法。该算法通过骨干网络提取公共特征,将提取的特征经过SPP(Spatial Pyramid Pooling)和FPN(Feature Pyramid Networks)网络融合特征后,分别传入分割网络和检测网络完成盲道分割和盲道障碍物检测的任务。为了让盲道分割更平整,引入修正损失函数。为了提高障碍物检测召回率,将检测网络的NMS(Non Maximum Suppression)替换为Soft-NMS。实验结果表明,该算法分割部分MIoU(Mean Intersection over Union)、MPA(Mean Pixel Accuracy)分别达到了93.52%、95.29%,检测部分mAP(mean Average Precision)、mAP@0.5以及mAP@0.75分别达到了75.58%、91.58%和74.82%。相较于使用SegFormer网络进行盲道分割和RetinaNet网络进行盲道障碍物检测,该算法在精度提升的同时速度也提升73.72%,FPS(Frames Per Secon)达到了18.52。相比于其他对比算法,该算法在速度和精度上也有一定的提升。

自卸车右转盲区风险目标动态检测算法研究

针对自卸车外形尺寸大导致车辆右转弯时存在较大视野盲区的问题,提出一种自卸车右转盲区风险目标动态检测算法,该算法利用YOLOv8模型的C2f模块和损失计算模块,提高了模型的检测精确率。同时,在盲区中预设4条位置阈值线,增加盲区风险预警模块,建立了自卸车右转盲区辅助驾驶系统。结果表明:所提出的风险目标动态检测算法能够识别小型乘用车、载货汽车、公交车、行人和电动自行车等多种类型的目标,且所有类别目标的50%交并比阈值下的平均精度均值(mAP50)为0.87;自卸车右转盲区辅助驾驶系统能够根据图像中风险目标框的位置进行不同程度的预警。

一种基于盲源分离的同频干扰抑制方法

基于调频广播的无源探测系统具有反隐身、抗干扰等许多优点,但由于体制的特殊性,其极易受到其他同频电台的干扰,严重影响系统性能。针对这种情况,文章提出了基于时间平滑二阶协方差矩阵分解的盲源分离同频干扰抑制方法。仿真结果表明,该算法在干信比很高的情况下仍然具有较好的鲁棒性。

感光层厚度对a-GaO_(x)基日盲紫外光电探测器的性能影响研究

为制备高性能日盲紫外光电探测器,采用低温金属有机物化学气相沉积方法制备了非晶氧化镓薄膜。通过对薄膜结构特性测试证明了薄膜的非晶特性,并且薄膜表面较为平坦,光学吸收边位于深紫外波段范围内。在此基础上,研制了日盲紫外光电探测器。随非晶氧化镓感光层厚度由33.2 nm增至133.6 nm,探测器的光电流和暗电流均提升了2个数量级,并且响应度和外量子效率均随感光层厚度提升而增大,探测器的响应度和外量子效率的最大值分别达到2.91 A/W和1419.12%。探测器的厚度依赖特性可归因于界面高缺陷层、光吸收强度以及探测器的几何参数。此外,探测器展现出良好的波长选择性以及时间分辨响应稳定性。

基于3种方法的福建天气雷达探测环境评估与分析

【目的】我国新一代天气雷达组网探测仍然存在较大盲区,特别是对低层大气的覆盖情况缺少评估。该文旨在研究福建省雷达对低层大气的探测情况,以辅助补盲雷达站址选择。【方法】利用SRTM高分辨率地形数据,采用3种方法,对福建省8部SA天气雷达0.5~3.4°仰角的探测环境,从单站范围、雷达探测重叠度、组网覆盖范围等方面进行分析,其中方法1、方法2、方法3分别基于射线海拔高度不同、射线与地形高度差不同、馈源以上高度不同,对一定高度区间的雷达覆盖情况进行评估。【结果】从业务角度出发评估低层大气探测环境,方法1和方法2的评估效果更优,以方法2为例,分析在盲区新建雷达的补盲效果,结果表明盲区主要位于闽中、闽西南和闽北地区。【结论】补盲雷达若位于靠近福建省界的闽西南区域,能最大程度新增0~2 km高度雷达波束覆盖面积,经计算得出新增面积可达15 000 km2以上。