The 6809 Lives On In An FPGA

At one point, the Motorola 6809 seemed like a great CPU. At the time it was a modern 8-bit CPU and was capable of hosting position-independent code and re-entrant code. Sure, it was pricey back in 1981 (about four times the price of a Z80), but it did boast many features. However, the price probably prevented it from being in more computers. There were a handful, including the Radio Shack Color Computer, but for the most part, the cheaper Z80 and the even cheaper 6502 ruled the roost. Thanks to the [turbo9team], however, you can now host one of these CPUs — maybe even a better version — in an FPGA using Verilog.

The CPU may be old-fashioned on the outside, but inside, it is a pipeline architecture with a standard Wishbone bus to incorporate other cores to add peripherals. The GitHub page explains that while the 6809 is technically CISC, it’s so simple that it’s possible to translate to a RISC-like architecture internally. There are also a few enhanced instructions not present on the 6809.

In addition to the source code, you’ll find a thesis and some presentations about the CPU in the repository. While the 6809 might not be the most modern choice, it has the advantage of having plenty of development tools available and is easy enough to learn. Code for the 6800 should run on it, too.

Even using through-hole parts, you can make a 6809 computer fit in a tiny space.You can also break out a breadboard.

Peering Inside The Tang FPGA

[Grug] has been working with the Tang Nano 9K FPGA board. He wanted to use the Gowin Analysis Oscilloscope (GAO) to build an internal monitor into the device for probing internal points. The problem is that the documentation is a bit lacking, so he made a video showing how to make it work to help us all out.

The idea for this isn’t unique, although for some vendors, getting this capability requires you to buy a license or the free versions are limited. We were disappointed, as was [Greg], that he had to run Windows to get the software to work.

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Manta project logo - a manta ray, with cursive 'manta' written next to it

Manta: An Open On-FPGA Debug Interface

We always can use more tools for FPGA debugging, and the Manta project by [Fischer Moseley] delivers without a shadow of a doubt. Manta lets you add a debug and data transfer channel between your computer and your FPGA, that you can easily access with helpfully included Python libraries.

With just a short configuration file as input, it gives you cores you add into your FPGA design, tapping the signals of interest as an FPGA-embedded logic analyzer, interacting with registers, and even letting you quickly transfer tons of data if you so desire.

Manta is easy to install, is developer-friendly, has been designed in Amaranth, and is fully open source as you would expect. At the moment, Manta supports both UART and Ethernet interfaces for data transfer. As for embedding the Manta cores into your project, they can be exported to both Amaranth and Verilog. You should check out the documentation website — it contains everything you might want to know to get started quick.

The Manta project has started out as our hacker’s MIT thesis, and we’re happy that we can cover it for you all. FPGA-embedded logic analyzers are a fascinating and much-needed tool, and we’ve had our own [Al Williams] tell you about his on-FPGA logic analysis journey!

DIY 6 GHZ Pulse Compression Radar

Conceptually, radar is pretty simple: send out a radio wave and time how long it takes to get back via an echo. However, in practice, there are a number of trade-offs to consider. For example, producing a long pulse has more energy and range, but limits how close you can see and also the system’s ability to resolve objects that are close to each other. Pulse compression uses a long transmission that varies in frequency. Reflected waves can be reconstituted to act more like a short pulse since there is information about the exact timing of the reflected energy. [Henrik] didn’t want to make things too easy, so he decided to build a pulse compression radar that operates at 6 GHz.

In all fairness, [Henrik] is no neophyte when it comes to radar. He’s made several more traditional devices using a continuous wave architecture. However, this type of radar is only found in a few restricted applications due to its inherent limitations. The new system can operate in a continuous wave mode, but can also code pulses using arbitrary waveforms.

Some design choices were made to save money. For example, the transmitter and receiver have limited filtering. In addition, the receiver isn’t a superheterodyne but more of a direct conversion receiver. The signal processing is made much easier by using a Zynq FPGA with a dual-core ARM CPU onboard. These were expensive from normal sources but could be had from online Chinese vendors for about $17. The system could boot Linux, although that’s future work, according to [Henrik].

At 6 GHz, everything is harder. Routing the PCB for DDR3 RAM is also tricky, but you can read how it was done in the original post. To say we were impressed with the work would be an understatement. We bet you will be too.

Radar has come a long way since World War II and is in more places than you might guess. We hate to admit it, but we’d be more likely to buy a ready-made radar module if we needed it.

Linear Feedback Shift Registers For FPGAs

If you want to start an argument at a Hackaday meeting, you have only to ask something like “How much does this weigh?” or “What time is it?” But if you really want to start a street brawl, you can always say, “Are these numbers random?” Making random numbers that are actually random is actually a tough nut to crack. Most of what we do is, technically, pseudo-random (but we’ll say random number and assume you know what we mean). One way to generate seemingly random sequences is to use a linear feedback shift register or LFSR. You can use LFSRs in software, but they are also very useful in hardware design and [Adam Taylor] takes us through his use of them on FPGAs in a recent post. Continue reading “Linear Feedback Shift Registers For FPGAs”

Homebrew GPU Tackles Quake

Have you ever wondered how a GPU works? Even better, have you ever wanted to make one? [Dylan] certainly did, because he made FuryGPU — a fully custom graphics card capable of playing Quake at over 30 frames per second.

As you might have guessed, FuryGPU isn’t in the same league as modern graphics card — those are made of thousands of cores specialized in math, which are then programmed with whatever shaders you want. FuryGPU is a more “traditional” GPU, it has dedicated hardware for all the functions the GPU needs to perform and doesn’t support “shader code” in the same way an AMD or NVIDIA GPU does. According to [Dylan], the hardest part of the whole thing was writing Windows drivers for it.

On his blog, [Dylan] tells us all about how he went from the obligatory [Ben Eater] breadboard CPU to playing with FPGAs to even larger FPGAs to bear the weight of this mighty GPU. While this project isn’t exactly revolutionary in the GPU world, it certainly is impressive and we impatiently wait to see what comes next.

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Weird Things To Do With FPGAs

There’s an old joke about how can you find the height of a building using a barometer. One of the punchlines is to drop the barometer from the roof and time how long it takes to hit the ground. We wonder if [Alexlao512] had that in mind when he wrote a post about unconventional uses of FPGAs. Granted, he isn’t dropping any of them off a roof, but still. The list takes advantage of things we usually try to avoid such as temperature variation, metastability, and the effects of propagation delays.

For example, you probably know that hooking up an odd number of inverters into a loop forms an oscillator—the so-called ring oscillator. The post discusses how you can use an oscillator like that to measure propagation delay or even as a strain gauge. If you put pressure on the FPGA chip, the frequency of the ring oscillator will subtly vary.

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