The Research Of Radar Parallel Imaging Algorithm Of Command Control Communication Network

The integration system of command control communication is a technical system thatcored on the computer technology, using for data acquisition, data storage and data processing,as well as display and describe them from terminals and related equipments through thecommunication network. However, with the development of science and technology, thetraditional command control communication system has already not used to real-timeprocessing all kinds of military communication data of huge operand and Data throughput,especially in radar signal processing is the most complicated. Radar signal processing andother types of signal processing work in different way, radar signal not only require hugecomputational complexity, but also particularly huge data throughput, which means that theinput speed of real-time processing system and the output speed and network communicationability should be highly required. The communication integration system used for radar signalreal-time processing, therefore, need the highest real-time, high precision and strong ability ofnetwork communication of large-scale parallel processing system.The research target of this paper is to increase the speed of data processing for theintegration system of command control communication, lay a foundation for the realization ofreal-time processing of signal. Therefore, this article will study parallelization of keyalgorithms in the system. At first, this paper summarizes the research background, the conceptof integrated control communication system, radar imaging data processing charges in theimportance of communication integration system, and data processing technology, especiallythe research status of parallel processing technology. Secondly, according to the processing ofradar imaging process, analyzed the radar data processing principle and some typical imagingalgorithm, mainly includes the radar data imaging principle, imaging algorithm and so on, andanalyze the imaging algorithm can parallelism, to design the model of the parallel processing.Finally, the paper puts forward the pipeline parallel processing algorithm based on MPI, andtools on the algorithm performance is verified by simulation. Chapter3and4of this paper isthe focus of this paper. The third chapter in the base of second chapter, on the basis of thedata processing, parallel processing technology as the basis of that, of secondary radar ispresented based on the data parallel processing algorithm and the pipeline parallel processingalgorithm based on MPI, focused on the two kinds of algorithm parallelization model and dataprocessing flow, and analyzes the similarities and differences of the two kinds of algorithms,and simulation verification.Both military radar and civilian radar are faced with dealing with massive amounts ofdata, the next step research work can consider how to be more efficient for data, in order to meet the high real-time performance, high precision of radar imaging algorithms requireparallel.