I submitted my ISS SSTV Image from the April 2018 ISS SSTV Event and received this lovely png in my email this weekend. Yay Me.
Setting up for a pleasant spring evening for the 70 cm VHF Spring Sprint. I bagged 16 points, which isn’t too shabby considering I used a magmount antenna stuck to a mixing bowl for the contest (it’s on the top of the patio umbrella). Most of my contacts were on SSB, which was cool because this was my first time using that mode on 70 cm.
For the ISS SSTV Event (which was irritatingly not on the ARISS page this time) I only managed to snag one decode (see below).It’s not too bad a decode for just aiming the antenna on the trunk of my car at the approximate angle of the pass and recording the audio coming out of the speaker with my phone. I decoded the audio later using MMSSTV. Hopefully next time I’ll have a better setup.
In the process of designing a linear driver stage to use as a a load, I came across this thread on the EE stackexchange detailing one guy’s design process and lessons learned doing this exact thing.
I’ve ended up using the STP75NF75 because it was the part that didn’t crater during testing. Since most MOSFETS are designed as switches making them operate in linear mode takes some doing.
The whole post links to the various threads that the author was asking questions in, and he has all of them annotated with lessons learned. It’s a quality post and interesting reading in its own right, and is worth reading even if you never want to go through this particular design exercise.
I came across this circuit in the “Typical Applications” section of the datasheet for the On Semiconductor version of the TL431 programmable voltage reference. I think you will agree that it’s definitely not “typical”.
That’s some old skool Forrest Mims III out-of-the-box shit right there.
As part of the 20th anniversary of amateur radio on the International Space Station (ISS) the crew broadcast a series of Slow Scan Television (SSTV) images from the Russian crew module. After several failed attempts (mostly due to my laptop’s sound card sucking) I managed to receive and decode this image: