Parallel optimization of track fusion algorithm based on OpenMP
Aiming at the problem that it is difficult to meet the real-time requirements with the increase of data volume in the distributed data fusion algorithm of netted radar,the track association algorithm based on statistical double-threshold method in the data fusion process is studied,and a multi-threaded optimization idea based on Open Multi-Processing(OpenMP)is proposed.The operation speed of the internal algorithm is improved by OpenMP parallel calculation of the correlation distance between radar tracks,and the external data transmission speed is accelerated by using three threads to separate the data receiving,fusion and sending processes,thus improving the processing speed of the overall fusion process.Taking the large capacity target scenario as the test case,the processing time and optimization acceleration ratio are evaluated.The simulation results show that the proposed parallel optimization method can effectively improve the computing speed.
万方数据
维普
