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Study On A Class Of Sensor Fault Detection For Systems With Multiplicative Noise

Posted on:2014-09-25Degree:MasterType:Thesis
Country:ChinaCandidate:Q DongFull Text:PDF
GTID:2268330401485320Subject:Control theory and control engineering
Abstract/Summary:PDF Full Text Request
Systems with multiplicative noise have largely promoted the technology ofmodern signal processing. In recent years, with the accuracy of modeling and dataacquisition required in the field of underwater target tracking and petroleum seismicexploration, estimation theory of systems with multiplicative noise is increasinglyshowing its usefulness and attracting more and more attention of scholars at home andabroad. However, the noises of the systems are portrayed more accurate and fine,which makes the model of the systems more complex than ever before. So the theoryand application of systems with multiplicative noise are not perfect in many respects.Sensor fault detection is an important branch of modern control theory, which comesup an endless stream of theoretical results in last decades. The main focus of thispaper is on resolving the problem of a class of sensor fault detection for systems withmultiplicative noise. At the same time, the paper makes an in-depth study in detectingtargets at sea with high-frequency surface wave radar and inquires into an algorithmfor the detection based on systems with multiplicative noise while interfered bycomplex and uncertain disturbances in the marine environment. Simulation andcomparative experiment results illustrate the effectiveness of the above algorithms.Here are the main works of this paper:1. As to the necessity and complexity of sensor fault detection in the field ofunderwater target tracking and petroleum seismic exploration, this paper proposes anew sensor fault model based on systems with multiplicative noise and builds anappropriate fault indicator to manage the fault detection. Different from the traditionalmethods restricted with the Gaussian distribution characteristics of the innovation, thenew methodology is more flexible, which can improve the accuracy of fault detectionas well.2. Due to the great impact made by a variety of strong noises on high-frequencysurface wave radar, real-time and accuracy of ship targets detection at sea areseriously affected. This paper makes an analysis of two clutters, ionospheric clutterand sea clutter, which affect surface wave radar mostly and introduces a model of radar target detection with multiplicative noise and proposes a new method ofreal-time detection for ship targets based on the theory of fault detection.
Keywords/Search Tags:multiplicative noise, optimal estimation, sensor fault detection, high-frequency surface wave radar, sea clutter modeling, target detection
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