【摘要】 在应用干涉仪算法测向时，需要对多个接收信号进行逐一处理，而且测向精度往往与本地样本库数据量正相关，因此当需对大量信号进行高精度测向时，常规的计算平台难以保证算法的实时性。针对以上问题，提出一种优化的干涉仪算法，能够在降低样本库数据量的同时保持较高的测向精度，并探索了一种基于GPU并行计算的算法实现方式。经计算机仿真验证，基于GPU实现的优化算法，可将执行速度提升至CPU平台的十余倍。更多还原

【Abstract】 When the interferometer algorithm is used to carry out direction-finding, the interferometer algorithm need to process multiple signals one by one and its accuracy of direction-finding is always positively correlated with the amount of local calibration data. Therefore, when high-precision direction-finding of a large number of signals is required, the normal computing platforms are difficult to ensure the real-time of the algorithm. Aiming at providing a solution for those circumstances, we propose a optimized method of interference direction-finding algorithm, which could obtain higher direction accuracy while reducing the amount of calculation. Besides, a parallel computing implementation for interferometer algorithm based on GPU has also been explored in this article, which has been proved through computer simulation experiments that the optimized algorithm based on GPU could increase the execution speed to more than ten times compared with CPU.更多还原