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Research on Techniques of Adaptive Data Fusion

Author: XiaoHou
Tutor: ChenShiYou
School: China Ship Research Institute
Course: Computer Software and Theory
Keywords: Data Fusion Adaptive Track Correlation Uncertainty Evaluation System error estimates
CLC: TP202
Type: Master's thesis
Year: 2011
Downloads: 113
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Abstract


Data fusion system performance is usually influenced by the sensor characteristics , characteristics of the environment and the target fusion model , integration process and other factors . Sensor , the dynamic changes of the environment and target characteristics makes the fusion process , the fusion model , the fusion parameters fixed data fusion system is difficult to obtain ideal results . Self- adaptive data fusion system , weakening the impact of external factors on the performance of the fusion system is an important research content data fusion technology . Papers around the data fusion system adaptive ability to carry out research work , including: track association Uncertainty Evaluation Research . Based on information uncertainty metric theory , the concept of clear track correlation uncertainty ; reference measurement uncertainty evaluation method , the track association Uncertainty evaluation method has been improved , making the assessment method is easier to understand , easier . Proposed and implemented an adaptive track data . The traditional track sequential method , sequential length is usually set in a fixed value . Papers based on the track correlation uncertainty Rating , adjust the length of the Track Correlation method of sequential online , the Track Correlation determine the timeliness and reliability of the unity , enhance Track Sequential sensor accuracy , the target distribution and the adaptability of the route . Error estimation method based on data-driven system is proposed and implemented . Large residual error for error estimation methods of traditional sensor systems using iterative learning method using collaborative target high-precision positioning information to create a sensor system error numerical model . Adaptive data fusion system structure , processes and software design , implementation and simulation . Experimental results show that the Track Correlation method of sequential length according to the target distribution , route , and track accuracy is automatically adjusted , to be able to output a reliable verdict in a timely manner ; error after calibration of the sensor system , the small residual systematic errors ; data fusion system sensor characteristics and target characteristics change certain adaptive .

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CLC: > Industrial Technology > Automation technology,computer technology > Automation technology and equipment > General issues > Design, performance analysis and synthesis
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