车辆组合导航定位技术

介绍车辆导航定位及其组合导航定位技术.组合导航利用现代信息融合技术,实现对车辆组合导航的准确定位,具有全方位、全天候、自主式定位功能.着重研究了GPS/GLNOASS/MM和GPS/DR/MM三组合导航定位及跑车试验分析.跑车试验表明,车辆组合导航定位精度及可靠性比单独GPS导航定位有所提高,车辆运行效率和安全性大大改善,提高了通行能力,有效地缓解了交通拥挤状况,从而为实现交通管理"自动化"以及车辆行驶"智能化"提供了可靠的保证.     

基于新息序列修正的输入估计算法

针对传统输入估计算法跟踪机动目标时检测概率和估计精度不高的缺点,提出一种改进的输入估计跟踪算法。算法利用对检测窗内新息序列进行修正以及对卡尔曼滤波状态变量进行补偿的方法,消除了已有机动检测估计对后继机动输入估计的影响,提高了对机动的检测概率和估计精度。理论分析和仿真结果表明,改进后的算法相比原有算法和IMM3算法,不仅跟踪性能有显著提高,而且对加速度缓变的机动也有较好的跟踪能力。     

多分量二维线性调频信号瞬时频率变化率估计

针对多分量二维线性调频信号的瞬时频率变化率估计问题,提出了一种新方法.定义了二维线性调频信号的二维三次相位函数CPF.通过分析可知,应用二维CPF方法处理多分量二维线性调频信号时,会由于交叉干扰项的存在而产生伪峰,接着借助于二维CPF构造了二维三次相位函数乘积项PCPF.应用该方法可以在较低信噪比下,准确地估计出多分量二维线性调频信号的瞬时频率变化率.仿真实验验证了该方法的有效性.     

Directionality based fast fractional pel motion estimation for H.264

Motion estimation is an important and intensive task in video coding applications. Since the complex-ity of integer pixel search has been greatly reduced by the numerous fast ME algorithm, the computation overhead required by fractional pixel ME has become relatively significant. To reduce the complexity of the fractional pixel ME algorithm, a directionality-based fractional pixel ME algorithm is proposed. The proposed algorithm efficiently explores the neighborhood positions which with high probability to be the best matching around the minimum one and skips over other unlikely ones. Thus, the proposed algorithm can complete the search by examining only 3 points on appropriate condition instead of 17 search points in the search algorithm of reference software. The simulation results show that the proposed algorithm successfully optimizes the fractional-pixel motion search on both half and quarter-pixel accuracy and improves the processing speed with low PSNR penalty.     

Parametric estimation of ultra wideband radar targets

Based on the analysis of impulse response properties, a scattering model of ultra wideband (UWB) radar targets is developed to estimate the target parameters exactly. With this model, two algorithms of multiple signal classification (MUSIC), and matrix pencil (MP), are introduced to calculate the scattering center parame-ters of targets and their performances are compared. The simulation experiments show that there are no differ-ences in the estimation precision of MUSIC and MP methods when the signal-to-noise ratio (SNR) is larger than 13 dB. However, the MP method has a better performance than that of MUSIC method when the SNR is smaller than 13 dB. Besides, the time consuming of MP method is leas than that of MUSIC method. Therefore, the MP algorithm is preferred for the parametric estimation of UWB radar targets.     

Secure and efficient elliptic curve cryptography resists side-channel attacks

An embedded cryptosystem needs higher reconfiguration capability and security. After analyzing the newly emerging side-channel attacks on elliptic curve cryptosystem (ECC), an efficient fractional width-w NAF (FWNAF) algorithm is proposed to secure ECC scalar multiplication from these attacks. This algorithm adopts the fractional window method and probabilistic SPA scheme to recondigure the pre-computed table, and it allows designers to make a dynamic configuration on pre-computed table. And then, it is enhanced to resist SPA, DPA, RPA and ZPA attacks by using the random masking method. Compared with the WBRIP and EBRIP methods, our proposals has the lowest total computation cost and reduce the shake phenomenon due to sharp fluctuation on computation performance.     

我国企业自主创新策略选择:一个理论分析

采用博弈论方法分析了现阶段我国企业原始创新、集成创新和引进消化吸收再创新的选择策略,揭示企业在3种自主创新策略中选择的理论条件,解释了目前我国企业自主创新策略选择的现实格局.     

High efficient moving object extraction and classification in traffic video surveillance

Moving object extraction and classification are important problems in automated video surveillance systems. A background model based on region segmentation is proposed. An adaptive single Gaussian background model is used in the stable region with gradual changes, and a nonparametric model is used in the variable region with jumping changes. A generalized agglomerative scheme is used to merge the pixels in the variable region and fill in the small interspaces. A two-threshold sequential algorithmic scheme is used to group the background samples of the variable region into distinct Gaussian distributions to accelerate the kernel density computation speed of the nonparametric model. In the feature-based object classification phase, the surveillance scene is first partitioned according to the road boundaries of different traffic directions and then re-segmented according to their scene localities. The method improves the discriminability of the features in each partition. AdaBoost method is applied to evaluate the relative importance of the features in each partition respectively and distinguish whether an object is a vehicle, a single human, a human group, or a bike. Experimental results show that the proposed method achieves higher performance in comparison with the existing method.     

故障拓展模型到概率检验模型的转换规则

以故障拓展模型和概率检验模型为基础,通过分析概率检验模型的语法语义、转移命令及逻辑关系,研究清晰、完整的转换规则,实现故障拓展模型向概率检验模型的转换。此外,研究模型的定量概率检验转换规则,构建逻辑验证表达。最后,对机载通信系统调谐控制功能展开基于概率检验的定量安全性评估。结果表明,通过将故障拓展模型转换为概率检验模型的转换规则,能够实现复杂系统定量安全性自动分析,从而有效支持航空器复杂系统安全性评估过程。     

高速背板互连的信号完整性仿真方法

提出了一种高速背板互连的信号完整性仿真方法。高速接插件的厂商只提供参数模型,借助矢量拟合方法可以推导出电路模型,再使用部分元等效电路法仿真走线得到等效电路模型。推导出联合仿真的方法,实现了高速背板互连的信号完整性仿真。通过等效电路的仿真结果和厂商提供的原始参数进行的比较,以及部分元等效电路法与商用软件仿真结果的比较验证了等效电路的正确性。最后对完整的板间互连通道进行了仿真,并将最终的仿真结果与商用软件的仿真结果进行了比较,证明了所提方法的正确性,给出了整个通道眼图仿真分析结果。