3 hours ago · 37 min read7498 words · Tech · hide · 0 comments

At long last, I am picking up the modulation-recognition (MR) topic again. My plan is to describe the core MR algorithm I’ve developed using cyclic cumulants in this post, and then in a third and final post present some performance results using simulated and captured signals. Recap of Part I Post The Part-I post introduced the basic MR problem statement, provided four distinct important problem variations, and discussed the problem aspects that render the problem a perennial one. The four variations are summarized next. Radio-Frequency Scene Analysis. The most general version of the problem, as described in my introductory post and my wicked-problem post. For an arbitrary RF scene, detect, characterize, and classify all signals in the scene regardless of their durations, bandwidths, signal-to-interference-and-noise ratios (SINRs), types, and parameters. The cocktail-party problem for radios ™. Conventional Modulation Classification. The least general version of the problem involves…

No comments yet. Log in to reply on the Fediverse. Comments will appear here.