2-Dimensional Accumulating Space Analyzing Model for Sequential Estimation

JI Jiang; HUANG Kai-zhi; JIN Liang; QU Jing

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2-Dimensional Accumulating Space Analyzing Model for Sequential Estimation

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- 2-Dimensional Accumulating Space Analyzing Model for Sequential Estimation
- Acta Electronica Sinica Vol. 37, Issue 7, Pages: 1487-1491(2009)
- 作者机构：
  
  国家数字交换系统工程技术研究中心,河南,郑州,450002
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN929.5
- Published：2009
- 稿件说明：
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JI Jiang, HUANG Kai-zhi, JIN Liang, et al. 2-Dimensional Accumulating Space Analyzing Model for Sequential Estimation[J]. Acta Electronica Sinica, 2009, 37(7): 1487-1491.
DOI：

JI Jiang, HUANG Kai-zhi, JIN Liang, et al. 2-Dimensional Accumulating Space Analyzing Model for Sequential Estimation[J]. Acta Electronica Sinica, 2009, 37(7): 1487-1491. DOI：

摘要

目前伪随机序列捕获算法在序列估计捕获算法方向取得了广泛的关注和深入发展

针对此领域缺乏有效、通用的模型分析工具

文中提出序列估计二维积累空间分析模型.通过分析幅度积累和概率积累之间的关系

建立了具有一致性的幅度积累空间与概率积累空间

为序列捕获算法研究和设计提供了便利的分析模型和工具.蒙特卡罗仿真和对现有算法的性能分析验证了模型的正确性

并且广泛适用于目前已有的序列估计算法.

Abstract

Nowadays

there is a great development in sequential estimation technology

which is the main field of sequential acquisition.But the sequential estimation algorithms lack of an effective and compatible analyzing model to meet this development.The paper presents a 2-dimensional accumulating space analyzing model

and the analyzing model gives the corresponding relationship of the amplitude accumulating space and the probability accumulating space.Based on the analysis results of the model

we could design some other sequential estimation algorithm with better performance.The simulation results show that they accord with the theory analysis results and the analyzing model can be used to analyze much of the existing sequential estimation algorithms.

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