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Gardner Timing Error Detector Gain

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ComparedOEMs traditionally used DSP-based hardware, plugged into a PC, for motion control. But new software-based solutions have challenged this approach, claiming equal or better performance at lower cost.View Forums comp.dsp gardner algorithm timing recovery Gardner Timing Error Detector - Loop Filter Started by Gracchus ●July 10, 2013

A Bpsk/qpsk Timing-error Detector For Sampled Receivers

ChronologicalNewest First Posted by Tim Wescott ●July 10, 2013On Wed, 10 Jul 2013 18:38:10 +0000, Eric Jacobsen wrote: >

Gardner Timing Recovery Matlab Code

On Wed, 10 Jul 2013 13:01:53 -0500, Tim Wescott > wrote: > >>On Wed, 10 Jul 2013 10:40:08 -0700, Kevin Neilson wrote: >> >>> The Gardner TED is simple, but

Symbol Timing Recovery Tutorial

it works so well. I sympathize with >>> your efforts making a loop filter, though. It's pretty simple, but >>> most of the literature gets really bogged down in theory and all of >>> the diagrams are in terms of Laplace transforms, none of which helps >>> if you just want to build something now. >>> >>> Look at p. 339 of this gardner algorithm matlab doc: http://tinyurl.com/l64wjyt >>> >>> This shows a diagram of the PI (proportional-integral) loop filter you >>> want. It's just a couple of multipliers (which can be shifters in >>> hardware) and an integrator. In your case, the phase detector will be >>> replaced with the Gardner TED, and the output of the loop filter will >>> be connected probably to an NCO/interpolator that determines when to >>> sample the input. >>> >>> You just need to pick K1 and K2 (proportional and integral) loop >>> constants. First you'll pick zeta (this is the squiggly Greek >>> character), which is the damping factor, which you can probably set to >>> 1, and wn, the natural freq, which you can start by setting to about >>> 250 times your sampling freq. After you pick zeta and wn you can get >>> K1,K2. >>> The formulas in the paper will help, but it's not very concise. >> >>Just some caveats: >> >>* You don't want to pick a natural frequency above your sampling rate. >>You want one below your sampling rate. For that matter, you want a >>natural frequency that's w

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