Research On Radar Data Storage And Analysis Processing Technology

The motion law of the sea targets can be obtained by analyzing data which is collected with the use of radar and related equipment, but the huge amount of data of radar data brings new difficulties to the storage and analysis of radar data. A distributed parallel processing framework Hadoop for storage and analysis of radar data may be provided. Enemy target confuses our commanders through camouflage.we can find these goals by judging whether the trajectory is abnormal with the abnormal path analysis algorithm.In view of the massive characteristics of radar data, the distributed processing framework Hadoop is used to storage and process radar data, and the abnormal path analysis algorithm is designed. First the radar data distributed storage is realized, then AIS data and track data are analyzed to summarize the motion law of the trajectory of the target to generate knowledge base of whole AIS trajectory, knowledge base of single AIS trajectory and knowledge base of whole track trajectory, and thus based on the abnormal path analysis algorithm to extract abnormal trajectory, the analysis of the abnormal trajectory, and the judgement of whether the new path is abnormal. At last, the processing efficiency of different ways is compared. The results show that the processing speed of distributed parallel processing is better than that of centralized processing, and it increases with the increase of node number.In this paper, we have realized the screening of effective radar data, the efficient storage of radar data, the discovery of the target motion and distribution law, the judgment of the abnormal track and the discovery of the abnormal track rule. Using MapReduce to complete the rapid analysis of massive radar data, dig out the value of radar data more.