量化量测下约束方差滤波的容许量化水平研究

doi:10.3969/j.issn.1000-1093.2012.06.020

兵工学报 ›› 2012, Vol. 33 ›› Issue (6): 753-758.doi: 10.3969/j.issn.1000-1093.2012.06.020

量化量测下约束方差滤波的容许量化水平研究

吴允刚，唐振民

(南京理工大学计算机科学与技术学院, 江苏南京 210094)

收稿日期:2011-04-20 修回日期:2011-04-20 上线日期:2014-03-04
作者简介:吴允刚（1971—），男，高级工程师
基金资助:
国家自然科学基金项目（90820306）

Study on Allowable Quantization Level of Variance-constrained Filtering in Quantized Measurements

WU Yun-gang， TANG Zhen-min

(School of Computer Science and Technology, Nanjing University of Science and Technology, Nanjing 210094, Jiangsu, China)

Received:2011-04-20 Revised:2011-04-20 Online:2014-03-04

摘要/Abstract

摘要： 为解决量化量测下传感器量化水平的选取问题，对于给定的系统滤波方差约束指标，设计了一种容许量化水平尽可能低的滤波器。给出了一种估计误差协方差系统稳定性的条件和当前估计型稳态滤波的线性矩阵不等式(LMI)计算方法。工程意义在于满足系统估计误差方差精度的前提下，尽可能低的量化水平代表着设计人员可以选择分辨率更低的传感器。通过仿真算例说明了算法的有效性。

关键词: 信息处理技术, 传感器, 量化量测, 滤波, 分辨率

Abstract: In order to determine the quantization level of sensors in quantized measurements, a new filter with allowable quantization level as low as possible was designed for given constraints of variance. The condition of the stability of error covariance matrix and a LMI method for current-estimation-type steady filter were presented. It means that, on the premise of meeting the system estimation variance, the designers can choose the sensors with lower resolution. A numerical example shows the usefulness and flexibility of the proposed approach.

Key words: information processing, sensor, quantized measurement, filtering, resolution

中图分类号:

TP30

吴允刚，唐振民. 量化量测下约束方差滤波的容许量化水平研究[J]. 兵工学报, 2012, 33(6): 753-758.

WU Yun-gang， TANG Zhen-min. Study on Allowable Quantization Level of Variance-constrained Filtering in Quantized Measurements[J]. Acta Armamentarii, 2012, 33(6): 753-758.

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量化量测下约束方差滤波的容许量化水平研究

Study on Allowable Quantization Level of Variance-constrained Filtering in Quantized Measurements

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