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
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
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： 2014-01-14
上传用户：奇奇奔奔
