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      Preliminary Investigation on Information Processing for the Weak Observation Problem

      Journal of Radars

      Chinese Academy of Sciences

      Weak observation, Information processing, Bayesian theory, Information assembling

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          Abstract

          Increasingly, detecting systems are facing the common problem of information processing owing to low SNR, low data rate, low resolution, and low information dimensions, and it is called the weak observation problem. This paper analyzes its origin and proposes the concept of information assembling by using the repetition and prediction properties of the object of interest. Then, the probability of the cloud inference method based on Bayesian theory is proposed to address a weak observation problem such as state estimation. Eventually several new requirements for sensor design, information processing, and system control are discussed, which are three crucial factors in information system design.

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          Author and article information

          Journal
          Journal of Radars
          Chinese Academy of Sciences
          01 August 2014
          : 3
          : 4
          : 396-400
          Article
          f4b4af203808443893580850b9950c60
          10.3724/SP.J.1300.2014.14086

          This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

          Categories
          Technology (General)
          T1-995

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