首页> 外文会议>Annual Computing and Communication Workshop and Conference >Radar Pulse on Pulse Identification Algorithm Hardware Acceleration Performance Analysis
【24h】

Radar Pulse on Pulse Identification Algorithm Hardware Acceleration Performance Analysis

机译:脉冲脉冲脉冲识别算法硬件加速性能分析

获取原文
获取外文期刊封面目录资料

摘要

The performance in radar receiver signal processing is a critical factor in identifying radar pulses. The use of field-programmable gate arrays (FPGA) in hardware acceleration provides multiple advantages in radar signal processing. High-level synthesis (HLS) tools enable systems developed in high-level languages, such as C, flexibility in conversion to a register-transfer level (RTL) design. A direct HLS translation for an FPGA target may not always improve performance, and analysis is compelling in systems where speed and performance are crucial. System on a Chip (SoC) FPGAs includes a processing system (PS) and programmable logic (PL) architectures on a single device. The performance between high-level language designs executed on the PS and HLS adaption implemented on the PL can be directly analyzed. This paper presents the performance comparisons of a Python and HLS versions of a previous work radar pulse on pulse identification algorithm implemented on an SoC FPGA.
机译:雷达接收机信号处理中的性能是识别雷达脉冲的关键因素。在硬件加速下使用现场可编程门阵列(FPGA)在雷达信号处理中提供了多种优势。高级合成(HLS)工具使能系统以高级语言开发,例如C,转换为寄存器传输级别(RTL)设计的灵活性。 FPGA目标的直接HLS翻译可能并不总是提高性能,并且在速度和性能至关重要的系统中分析是引人注目的。芯片上的系统(SOC)FPGA包括单个设备上的处理系统(PS)和可编程逻辑(PL)架构。可以直接分析在PS上执行的PS和HLS Adaption上执行的高级语言设计之间的性能。本文介绍了在SOC FPGA上实现的脉冲识别算法上的先前工作雷达脉冲的Python和HLS版本的性能比较。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号