基于Jetson TX1带通采样宽带定向算法优化  

The Optimization Method of Band-pass Sampling Broadband Orientation in the Jetson TX1

作　　者：赵德铭 马晓川[1] 杨力[1] ZHAO Deming;MA Xiaochuan;YANG Li(Underwater Vehicle Information Technology Key Laboratory, Institute of Acoustics, Chinese Academy of Sciences, Beijing, 100190, China;University of Chinese Academy of Sciences, Beijing, 100490, China)

机构地区：[1]中国科学院声学研究所水下航行器信息技术重点实验室,北京100190 [2]中国科学院大学,北京100049

出　　处：《网络新媒体技术》2019年第3期28-33,共6页Network New Media Technology

摘　　要：带通采样宽带定向算法优化方法基于ARM平台的NEON协处理器,提高主动声呐宽带信号定向算法实时性。实验结果表明:利用NEON协处理器的并行运算的优化方法比仅仅利用ARM处理器实现带通采样宽带定向算法速度提高接近一倍,进而实现数据处理实时性;与具有同等处理速度的DSP阵列信号处理平台相比,克服了开发周期长、移植性差等缺点。The optimization method is based on NEON co-processor of ARM platform to improve real-time performance of active sonar wideband signal orientation algorithm. The experimental results show that the optimization method of parallel computing using NEON coprocessor nearly doubled the speed of using band-pass sampling broadband oriented algorithm only using ARM processor, and real-time data processing was realized. Compared with DSP array signal with the same processing speed, the method of using the processing platform overcome these shortcomings, for example long development cycle, poor portability and so on.

关 键 词：ARM平台 宽带定向算法 实时性 NEON协处理器 

分 类 号：TN911.7[电子电信—通信与信息系统]