Systolic Lidar-based Fuzzy Logic System for border Monitoring using FPGA

Hossam O. Ahmed
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引用次数: 6

Abstract

The protection of sensitive facilities or international borders using Wireless Sensor Networks (WSN) has become one of the important topics nowadays. One of the efficient techniques which could guarantee a high precision capabilities of event detection is to depend on Fuzzy Logic System (FLS) as the Artificial Intelligence(AI)-based processing algorithm, in addition to use the Field Programmable Logic Array (FPGA) as the hardware platform due to its reconfigurability and high-speed processing power that it could provide. In this paper, we designed a systolic-based FLS architecture using VHDL based on the validated MATLAB model. The proposed systolic FLS architecture has been designed to be interfaced with a TFmini Plus Lidar Sensor Lidar sensor and a MaxSonar ultrasonic sensor using the Intel Altera OpenVINO FPGA kit. The proposed systolic FLS processing core achieved a processing computational speed of 3.085 GOPS at maximum operating frequency of 181.55 MHz, while draining only 29.09 mW as a core dynamic thermal power dissipation loss and only about 12.98 mW as a I/O thermal power dissipation loss.
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基于FPGA的收缩激光雷达模糊边界监控系统
利用无线传感器网络(WSN)保护敏感设施或国际边界已成为当今的重要课题之一。基于模糊逻辑系统(FLS)作为基于人工智能(AI)的处理算法,利用现场可编程逻辑阵列(FPGA)作为硬件平台,以其可重构性和高速处理能力,是保证事件检测高精度能力的有效技术之一。本文在验证的MATLAB模型的基础上,利用VHDL语言设计了一个基于心脏收缩的FLS体系结构。所提出的收缩FLS架构被设计为与使用英特尔Altera OpenVINO FPGA套件的TFmini Plus激光雷达传感器和MaxSonar超声波传感器接口。在最高工作频率为181.55 MHz时,所提出的收缩FLS处理核心的处理计算速度为3.085 GOPS,核心动态热功耗损耗仅为29.09 mW, I/O热功耗损耗仅为12.98 mW。
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