Application Of Data Mining Technology In Radar-data Processing

With the development and application of database technology, more and more radar-data accumulated. How to effectively use these radar-data resources and to extract valuable information in a large number of complex and disparate data sources for decision-making use emergent for the radar-database to solve. The appearance of data warehouse and data mining techniques provide an effective theory and method.For today's Firing Data Solution, the radar detection accuracy is a key constraining factor in their development. How to eliminate the impact of error caused by the radar detection and to improve the fire solver accuracy are our goal. On the basis of the practical application of fire control-calculating and taking a certain type of radar data obtained in the experiment as a sample, data warehousing and data mining techniques is introduced to analyze the hidden relationship between the radar measurement errors and its influencing factors. First of all, using SQL Server 2005 radar data to build a warehouse in the data preparation process of the data pre-processing has improved data quality and has established a good radar error data analysis environment; Second, through the comparative analysis of algorithms, has established the radar tracking data distance error model, the azimuth and pitch error model using the decision tree algorithm; and finally, using the established radar tracking data and error model to combine with the traditional radar tracking data processing method for processing, the results are clearly superior to the traditional approach and improve fire control. Furthermore it presents a fire control solution calculation using data mining techniques combined with the traditional filtering method for a new fire-control radar tracking data processing. It puts forward a new approach to improve the accuracy of fire control Solution.