熟悉A/D转换 软件思路：选择RAO做为模拟输入通道； 连续转换4次再求平均值做为转换结果 最后结构只取低8位 结果送数码管的低3位显示
上传时间： 2014-01-21
上传用户：eclipse
软件思路：选择RAO做为模拟输入通道 连续转换4次再求平均值做为转换结果最后结构只取低8位结果送数码管的低3位显示 硬件要求：拨码开关S14第2位置ON，第1位置OFF拨码开关S6全部置ON，S5第4-6位置ON，第1-3位置OFF为不影响结果，其他拨码开关置OFF。
上传时间： 2017-08-04
上传用户：zhouli
基于RBMCDA (Rao-Blackwellized Monte Carlo Data Association)方法的多目标追踪程序
标签： Rao-Blackwellized Association RBMCDA Monte
上传时间： 2017-08-29
上传用户：tb_6877751
FPGA是一种可通过用户编程来实现各种数字电路的集成电路器件。用FPGA设计数字系统有设计灵活、低成本，低风险、面市时间短等好处。本课题在结合国际上FPGA器件方面的各种研究成果基础上，对FPGA器件结构进行了深入的探讨，重点对FPGA的互连结构进行了分析与优化。FPGA器件速度和面积上相对于ASIC电路的不足很大程度上是由可编程布线结构造成的，FPGA一般用大量的可编程传输管开关和通用互连线段实现门器件的连接，而全定制电路中仅用简单的金属线实现，传输管开关带来很大的电阻和电容参数，因而速度要慢于后者。这也说明，通过优化可编程连接方式和布线结构，可大大改善电路的性能。本文研究了基于SRAM编程技术的FPGA器件中逻辑模块、互连资源等对FPGA性能和面积的影响。论文中在介绍FPGA器件的体系构架后，首先对开关矩阵进行了研究，结合Wilton开关矩阵和Disioint开关矩阵的特点，得到一个连接更加灵活的开关矩阵，提高了FPGA器件的可布线性，接着本课题中又对通用互连线长度、通用互连线间的连接方式和布线通道的宽度等进行了探讨，并针对本课题中的FPGA器件，得出了一套适合于中小规模逻辑器件的通用互连资源结构，仿真显示新的互连方案有较好的速度和面积性能，在互连资源的面积和性能上达到一个很好的折中。 接下来课题中对FPGA电路的可编程逻辑资源进行了研究，得到了一种逻辑规模适中的粗粒度逻辑块簇，该逻辑块簇采用类似Xilinx 公司的FPGA产品的LUT加触发器结构，使逻辑块簇内部基本逻辑单元的联系更加紧密，提高了逻辑资源的功能和利用率。随后我们还研究了IO模块数目的确定和分布式SRAM结构中编程电路结构的设计，并简单介绍了SRAM单元的晶体管级设计原理。最后，在对FPGA构架研究基础上，完成了一款FPGA电路的设计并设计了相应的电路测试方案，该课题结合CETC58研究所的一个重要项目进行，目前已成功通过CSMC0.6μm 2P2M工艺成功流片，测试结果显示其完全达到了预期的性能。
上传时间： 2013-04-24
上传用户：6546544
This paper examines the asymptotic (large sample) performance of a family of non-data aided feedforward (NDA FF) nonlinear least-squares (NLS) type carrier frequency estimators for burst-mode phase shift keying (PSK) modulations transmitted through AWGN and flat Ricean-fading channels. The asymptotic performance of these estimators is established in closed-form expression and compared with the modified Cram`er-Rao bound (MCRB). A best linear unbiased estimator (BLUE), which exhibits the lowest asymptotic variance within the family of NDA FF NLS-type estimators, is also proposed.
标签： performance asymptotic examines non-data
上传时间： 2015-12-30
上传用户：225588
In this article, we present an overview of methods for sequential simulation from posterior distributions. These methods are of particular interest in Bayesian filtering for discrete time dynamic models that are typically nonlinear and non-Gaussian. A general importance sampling framework is developed that unifies many of the methods which have been proposed over the last few decades in several different scientific disciplines. Novel extensions to the existing methods are also proposed.We showin particular how to incorporate local linearisation methods similar to those which have previously been employed in the deterministic filtering literature these lead to very effective importance distributions. Furthermore we describe a method which uses Rao-Blackwellisation in order to take advantage of the analytic structure present in some important classes of state-space models. In a final section we develop algorithms for prediction, smoothing and evaluation of the likelihood in dynamic models.
标签： sequential simulation posterior overview
上传时间： 2015-12-31
上传用户：225588
We present a particle filter construction for a system that exhibits time-scale separation. The separation of time-scales allows two simplifications that we exploit: i) The use of the averaging principle for the dimensional reduction of the system needed to solve for each particle and ii) the factorization of the transition probability which allows the Rao-Blackwellization of the filtering step. Both simplifications can be implemented using the coarse projective integration framework. The resulting particle filter is faster and has smaller variance than the particle filter based on the original system. The convergence of the new particle filter to the analytical filter for the original system is proved and some numerical results are provided.
标签： construction separation time-scale particle
上传时间： 2016-01-02
上传用户：fhzm5658
％ PURPOSE : Demonstrate the differences between the following ％ filters on a simple DBN. ％ ％ 3) Particle Filter (PF) ％ 4) PF with Rao Blackwellisation (RBPF)
标签： Demonstrate differences the following
上传时间： 2016-01-07
上传用户：cjf0304
跳变马尔可夫模型状态估计的粒子滤波算法研究，本文在系统分析传统粒子滤波理论与应用问题的基础上，重点研究了基于跳变马尔可夫状态空间模型的粒子滤波算法。针对混合系统在二维离散状态情形下的混合状态估计问题，给出了基于Rao-Blackwellised粒子滤波的二维离散状态与连续状态的同步估计算法，一定程度上缓解了传统粒子滤波算法在高维状态空间估计中的失效问题，有效提高了状态估计的精度。应用数值仿真计算，对相关粒子滤波算法的性能进行了比较分析。结果表明，本文研究的算法能够有效完成二维离散状态与连续状态的同步估计，其中，二维离散状态的估计准确率达到了 96％。
上传时间： 2013-12-12
上传用户：qb1993225
This paper studies the problem of tracking a ballistic object in the reentry phase by processing radar measurements. A suitable (highly nonlinear) model of target motion is developed and the theoretical Cramer—Rao lower bounds (CRLB) of estimation error are derived. The estimation performance (error mean and
标签： processing ballistic the tracking
上传时间： 2014-10-31
上传用户：yyyyyyyyyy
