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Analysis of using a MicroBlaze processor for hardware implementation of algorithms for data processing in electronic recognition devices and systems based on the example of a XILINX FPGA system

机译:基于Xilinx FPGA系统的示例的电子识别装置和系统中数据处理的硬件实现使用微勃朗处理器的分析

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In contemporary devices, reconnaissance systems, and radio-electronic warfare there is a necessity to process very large amounts of measurement data in real time. For this purpose, the possibility of hardware implementation for various types of algorithms in FPGA (Field-Programmable Gate Array) is of great importance. With the intensive development of semiconductor technology observed in the recent years, programmable devices have undergone very significant changes in recent years. A notable increase in logical resources has enabled implementation of a programmable processor core in the FPGA. This paper presents an example of the system which is capable of processing measurement data obtained from a radar as well as control data required for controlling the processing circuit which has been implemented in MicroBlaze processor. The MicroBlaze processor is a soft processor designed for the effective implementation within programmable systems. In this paper two solutions based on the Xilkernel real time system (a solution based on Linux) and the Xilinx Standalone version have been discussed. The proposed solutions may be the basis for building efficient data processing components in WRE devices. Performance tests of the individual solutions have been made on the basis of signals received from the FMCW (Frequency-Modulated Continuous-Wave) radar.
机译:在现代设备,侦察系统和无线电电子战中,有必要实时处理非常大量的测量数据。为此目的,FPGA(现场可编程门阵列)中各种类型算法的硬件实现的可能性非常重要。随着近年来观察到的半导体技术的密集开发,可编程设备近年来经历了非常重大的变化。逻辑资源的显着增加使得能够在FPGA中实现可编程处理器核心。本文提出了能够处理从雷达获得的测量数据的系统的示例以及控制在微勃朗处理器中实现的处理电路所需的控制数据。 MicroBlaze处理器是一种软处理器,专为可编程系统中的有效实现而设计。本文讨论了基于Xilkernel实时系统的两个解决方案(基于Linux的解决方案)和Xilinx独立版本。所提出的解决方案可以是在WRE设备中构建有效数据处理组件的基础。已经基于从FMCW(频率调制的连续波)雷达接收的信号进行各个解决方案的性能测试。

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