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- #Simulink fpga simulation generator
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The Simulink family of products and Xilinx System Generator are widely used together to develop FPGA-based signal processing algorithms for digital communications, video/imaging systems, and aerospace/defense systems. Simulink provides a flexible design environment in which you can easily combine blocks depending on where you are in the design process and which design sections are destined for an FPGA. System Generator blocks, on the other hand, are designed to provide such an implementation path and also provide a way to accelerate simulations through the HIL capability. In a typical simulation, blocks from the Simulink family of products tend to run faster than their System Generator counterparts, but they generally provide no direct path to an FPGA implementation. For example, the Communications Blockset provides RS encoding and convolutional encoding blocks that could replace the corresponding blocks shown in Figure 2. While most of the blocks in this transmitter subsystem come from the System Generator Blockset, you can use similar blocks from the Simulink family of products. Using either the JTAG interface with Parallel Cable IV or specialized interfaces, you can also extend System Generator’s HIL capability to other FPGA platforms.Īs an alternative hardware scheme, you can export both the testbench and golden data to hardware description language (HDL) simulation tools that FPGA designers easily understand. Consequently, you can test the design in actual hardware and accelerate the execution of System Generator blocks by a factor of 10–100, typically, saving considerable development and debugging time. Thus, results for the compiled System Generator blocks are computed on the FPGA rather than being emulated in software. This co-simulation capability automatically creates bit streams to and from the FPGA and associates them with the corresponding System Generator blocks in the Simulink model. Selecting compilation targets from the Hardware Co-Simulation menu lets you incorporate an implemented design (running on the FPGA) directly within a Simulink simulation.
#Simulink fpga simulation free
(The model is available as a free reference design with System Generator.) We explore the QAM demodulator design in three phases: system design and modeling, automatic hardware generation, and simulation and hardware verification. This capability provides a straightforward method to verify hardware implementation and accelerate simulations. Moreover, System Generator’s hardware-in-the-loop (HIL) capability enables the co-simulation of FPGA implementations directly within Simulink. Using Model-Based Design, we can develop a high-level abstraction that can be automatically compiled into an efficient FPGA implementation. Specifically, we focus on a receiver design for a 16-level quadrature amplitude modulation (16-QAM) telemetry system. In this article, we demonstrate an FPGA design flow that uses a combination of the Simulink family of products, Xilinx System Generator for DSP™, and Xilinx FPGAs. Moreover, FPGAs let engineers optimize fixed-point word lengths and pack multiple channels into a single device, thereby reducing the effective power and cost per channel.īesides their field programmability, speed, and flexibility, FPGAs also lend themselves to rapid design and verification. This kind of processing power makes it possible to use FPGAs for implementing not only conventional baseband functionality but also high-speed signal processing that operates close to the antenna. FPGAs offer superior speed-even sophisticated algorithms can operate at sample rates of tens or hundreds of MHz.
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Wireless system designs often feature FPGAs alongside DSPs.
#Simulink fpga simulation upgrade
Solutions based on digital signal processors (DSPs) and field programmable gate arrays (FPGAs) are attractive because they enable upgrade installation over a network from a central site. With today’s complex and rapidly evolving wireless technologies, cost of ownership is typically influenced by both initial capital investment and the ongoing cost of upgrading field installations.
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As the market for wireless infrastructure matures equipment vendors are under increasing pressure to deliver low-cost solutions to operators.