基于杂波跟踪的CFAR检测研究

通过设立专门通道将图像处理技术应用于雷达检测域杂波功率数据处理,对特征杂波进行跟踪,为恒虚警处理提供背景信息.本文介绍了对抗杂波边缘的自适应CFAR检测器设计中的研究工作,设计了基于杂波跟踪的杂波属性CF(clutter feature)-CFAR检测器和结构元素SE(structuring element)-CFAR检测器,对其检测性能进行了分析.并通过蒙特卡罗(Monte Carlo)仿真方法对上述两种检测器的检测性能进行了仿真.     

Application of the blind source separation method to feature extraction of machine sound signals

As the result of vibration emission in air, a machine sound signal carries important information about the working condition of machinery. But in practice, the sound signal is typically received with a very low signal-to-noise ratio. To obtain features of the original sound signal, uncorrelated sound signals must be removed and the wavelet coefficients related to fault condition must be retrieved. In this paper, the blind source separation technique is used to recover the wavelet coefficients of a monitored source from complex observed signals. Since in the proposed blind source separation (BSS) algorithms it is generally assumed that the number of sources is known, the Gerschgorin disk estimator method is introduced to determine the number of sound sources before applying the BSS method. This method can estimate the number of sound sources under non-Gaussian and non-white noise conditions. Then, the partial singular value analysis method is used to select these significant observations for BSS analysis. This method ensures that signals are separated with the smallest distortion. Afterwards, the time-frequency separation algorithm, converted to a suitable BSS algorithm for the separation of a non-stationary signal, is introduced. The transfer channel between observations and sources and the wavelet coefficients of the source signals can be blindly identified via this algorithm. The reconstructed wavelet coefficients can be used for diagnosis. Finally, the separation results obtained from the observed signals recorded in a semi-anechoic chamber demonstrate the effectiveness of the presented methods .     

基于RBF网络和IMM的机动目标跟踪方法

文中提出了一种应用RBF神经网络对标准IMM算法中的卡尔曼滤波结果进行校正的方法。网络输人为预测误差、卡尔曼增益以及测量值与估计值之差．网络输出反映了由于目标机动所带来的滤波误差．将网络输出结果和直接由卡尔曼滤波求解得到的结果相加．可以得到更为准确的滤波值。同时．在网络的学习算法中．在网络权值矩阵的修正公式中增加了反映滤波残差的调整项．若卡尔曼滤波的残差较大，网络调整权值的幅度也相应增大。仿真结果表明．在目标发生机动转弯处．校正后的IMM算法的跟踪误差要明显小于标准IMM算法的跟踪误差．跟踪精度较高。     

High accuracy path tracking for vehicles in presence of sliding: Application to farm vehicle automatic guidance for agricultural tasks

When designing an accurate automated guidance system for vehicles, a major problem is sliding and pseudo-sliding effects. This is especially the case in agricultural applications, where five-centimetre accuracy with respect to the desired trajectory is required, although the vehicles are moving on slippery ground. It has been established that RTK GPS was a very suitable sensor to achieve automated guidance with such high precision: several control laws have been designed for vehicles equipped with this sensor, and provide the expected guidance accuracy as long as the vehicles do not slide. In previous work, further control developments have been proposed to take sliding into account: guidance accuracy in slippery environments has been shown to be preserved, except transiently at the beginning/end of curves. In this paper, the design of this control law is first recalled and discussed. A Model Predictive Control method is then applied in order to preserve accuracy of guidance even during these curvature transitions. Finally, the overall control scheme is implemented, and improvements with respect to previous guidance laws are demonstrated through full-scale experiments.     

Error Concealment Based on Semantic Prioritization with Hardware‐Based Face Tracking

With video compression standards such as MPEG‐4, a transmission error happens in a video‐packet basis, rather than in a macroblock basis. In this context, we propose a semantic error prioritization method that determines the size of a video packet based on the importance of its contents. A video packet length is made to be short for an important area such as a facial area in order to reduce the possibility of error accumulation. To facilitate the semantic error prioritization, an efficient hardware algorithm for face tracking is proposed. The increase of hardware complexity is minimal because a motion estimation engine is efficiently re‐used for face tracking. Experimental results demonstrate that the facial area is well protected with the proposed scheme.     

Pedestrian detection and tracking in infrared imagery using shape and appearance

In this paper, we present an approach toward pedestrian detection and tracking from infrared imagery using joint shape and appearance cues. A layered representation is first introduced and a generalized expectation-maximization (EM) algorithm is developed to separate infrared images into background (still) and foreground (moving) layers regardless of camera panning. In the two-pass scheme of detecting pedestrians from the foreground layer: shape cue is first used to eliminate non-pedestrian moving objects and then appearance cue helps to locate the exact position of pedestrians. Templates with varying sizes are sequentially applied to detect pedestrians at multiple scales to accommodate different camera distances. To facilitate the task of pedestrian tracking, we formulate the problem of shot segmentation and present a graph matching-based tracking algorithm that jointly exploits the shape, appearance and distance information. Experimental results with both OSU Infrared Image Database and WVU Infrared Video Database are reported to demonstrate the accuracy and robustness of our algorithm.     

一个通用代理计费系统开发框架的设计与实现

用户在不同的网络环境中选择不同的代理软件实现上网和用户管理，这些代理软件既有共性又各具特色，为减少开发不同代理计费软件的工作量，提高开发效率，加快开发周期，提出利用软件重用的思想，将代理软件的差异集中到少数几个类的实现上，设计并实现一个通用代理计费系统开发框架，基于此框架利用相对简单的步骤开发了基于SQUID的代理计费系统，验证了框架的实用性和可行性，达到了设计目标。     

基于XML的试题库模型与实现

由于试题的多样性的类型及半结构性的内容，实现试题规范的数据结构较为困难，造成现有的试题库系统的试题类型较少和内容格式单一。使用XML元数据表示试题的内容，可有效解决上述问题，论文提出一种基于XML的试题库模型，建立具有较高查询效率的试题库组织结构，在系统原型实现上，利用关系数据库的查询性能和XML技术的表现能力，较好地解决了试题库系统对试题类型多样性和查询效率的支持。     

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豫西地区中、下二叠统太原组、山西组、上石盒子组及下石盒子组煤成气资源丰富，但成煤环境纵向发育与横向变化较大，规律难于把握。因此，开展煤成气源岩沉积环境研究有利于该区煤成气资源的勘探与开发及合理的利用。通过露头、钻井、地震资料及分析、测试资料的综合研究认为：本区中、下二叠统主要沉积了一套浅海碳酸盐岩，海湾-泻湖、潮坪、沼泽、障壁岛(砂质滩、坝)及三角洲相陆源碎屑岩和煤层。从总的沉积特征来看，下二叠统太原组、山西组基本上发育滨、浅海相碳酸盐岩、陆源碎屑岩和煤的混合沉积。上二叠统上、下石盒子组则以海陆交互相陆源碎屑沉积为主，三角洲及三角洲平原沼泽十分发育；沉积环境具有自下而上，自南东向北西方向由海相逐步过渡为陆相的基本特点。其煤成气源岩沉积环境以早二叠世山西期潮坪、泻湖过渡带之滨岸沼泽环境为最佳，其次为中二叠世下石盒子期三角洲平原沉积之平原沼泽环境。