Designing a Generic, Software-Defined Multimode Radar Simulator for FPGAs Using Simulink® HDL Coder and Speedgoat Real-Time Hardware

Michael, Thomas; Reynolds, Simon; Woolford, Thomas

doi:10.1109/radar.2018.8557272

Cited by 6 publications

(3 citation statements)

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“…The tools facilitating the top-down approach enable the design to be developed at high level of abstraction, in a graphical format. There are two popular families of tools in this category, namely the Mathworks family, which includes Matlab [17][18][19] and Simulink [20,21], and the National Instruments (NI) family, which includes Labview [22][23][24] and can make use of third-party tools such as ModelSim [25,26]. They provide component libraries for the modeling and simulation of electronic and mechatronic systems and include models of semiconductors, motors, drives, sensors, and actuators [27].…”

Section: Schematic-based/graphical Electronic System Level (Esl) Desi...mentioning

confidence: 99%

Digital Electronic System-on-Chip Design: Methodologies, Tools, Evolution, and Trends

Cirstea,

Benkrid,

Dinu

et al. 2024

Micromachines

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This paper reviews the evolution of methodologies and tools for modeling, simulation, and design of digital electronic system-on-chip (SoC) implementations, with a focus on industrial electronics applications. Key technological, economic, and geopolitical trends are presented at the outset, before reviewing SoC design methodologies and tools. The fundamentals of SoC design flows are laid out. The paper then exposes the crucial role of the intellectual property (IP) industry in the relentless improvements in performance, power, area, and cost (PPAC) attributes of SoCs. High abstraction levels in design capture and increasingly automated design tools (e.g., for verification and validation, synthesis, place, and route) continue to push the boundaries. Aerospace and automotive domains are included as brief case studies. This paper also presents current and future trends in SoC design and implementation including the rising, evolution, and usage of machine learning (ML) and artificial intelligence (AI) algorithms, techniques, and tools, which promise even greater PPAC optimizations.

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Section: Schematic-based/graphical Electronic System Level (Esl) Desi...mentioning

confidence: 99%

Digital Electronic System-on-Chip Design: Methodologies, Tools, Evolution, and Trends

Cirstea,

Benkrid,

Dinu

et al. 2024

Micromachines

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“…However, these products are mainly oriented to enterprises and they are expensive. Therefore, they are not suitable for academic application [19][20][21][22][23].…”

Section: Introductionmentioning

confidence: 99%

Development of Manipulator Digital Twin Experimental Platform Based on RCP

et al. 2022

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From the perspective of teaching and researching, we developed a manipulator digital twin experiment platform (named the remote experience platform, REP) based on a rapid control prototype (RCP). The platform consisted of a controlled target, a real-time controller, rapid prototype configuration software, and supervisory control software. The controlled target was a 6-DOF manipulator, divided into a physical entity and its digital twin. The 3D model and mathematical model of the manipulator were constructed as an experimental entity in a digital space. The whole system provided flexible and intuitive experimental scenes without the restraints of time and place. Based on RCP technology, students can design various complex control strategies using simulation tools such as Matlab/Simulink, then convert the graphical model into executable code to be performed in target hardware. The framework and development methods of the proposed system are elaborated in this paper. An example is demonstrated, including invocation of algorithms, one-click code generation and compilation, real-time verification and online parameter adjustment, and more. The feasibility and practicability of the system are verified through the PID control experiment of the manipulator.

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“…The design of dedicated hardware architectures is traditionally done by using hardware description languages (HDL). However, as proven by different works [25][26][27], higher abstraction level frameworks can support the designer in helping to focus the attention on system functionalities and in reducing time-to-market. This is possible, for example, by using MATLAB/Simulink software [28].…”

Section: Introductionmentioning

confidence: 99%

A Model-Based Design Floating-Point Accumulator. Case of Study: FPGA Implementation of a Support Vector Machine Kernel Function

Bassoli

Bianchi

Munari

2020

Sensors

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Recent research in wearable sensors have led to the development of an advanced platform capable of embedding complex algorithms such as machine learning algorithms, which are known to usually be resource-demanding. To address the need for high computational power, one solution is to design custom hardware platforms dedicated to the specific application by exploiting, for example, Field Programmable Gate Array (FPGA). Recently, model-based techniques and automatic code generation have been introduced in FPGA design. In this paper, a new model-based floating-point accumulation circuit is presented. The architecture is based on the state-of-the-art delayed buffering algorithm. This circuit was conceived to be exploited in order to compute the kernel function of a support vector machine. The implementation of the proposed model was carried out in Simulink, and simulation results showed that it had better performance in terms of speed and occupied area when compared to other solutions. To better evaluate its figure, a practical case of a polynomial kernel function was considered. Simulink and VHDL post-implementation timing simulations and measurements on FPGA confirmed the good results of the stand-alone accumulator.

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Designing a Generic, Software-Defined Multimode Radar Simulator for FPGAs Using Simulink® HDL Coder and Speedgoat Real-Time Hardware

Cited by 6 publications

References 0 publications

Digital Electronic System-on-Chip Design: Methodologies, Tools, Evolution, and Trends

Digital Electronic System-on-Chip Design: Methodologies, Tools, Evolution, and Trends

Development of Manipulator Digital Twin Experimental Platform Based on RCP

A Model-Based Design Floating-Point Accumulator. Case of Study: FPGA Implementation of a Support Vector Machine Kernel Function

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