Hi The concept you most commonly see is a curve fit approach. You know the structure of the waveform through several cycles. You can fit this "model waveform" to the observed data over a large number of points. As you fit more points, the impact of the noise is reduced.
Bob On Apr 13, 2013, at 8:07 AM, mehdi <[email protected]> wrote: > >>> hi dears > i'm newer here. > i have some questions about loran-c receiver.can you help me? > i want to know how can i find third zero crossing in loran-c receiver? > i find third zero cross by peterson 's method from this paper: > Analysis of Noise and Cycle Selection in a Loran Receiver > but due to Gausian noise,when i find third zero cross,it is not correct and > it is before or after correct third zero cross.i want to know how can i > track and correct third zero cross?(in other words what is acquisition in > loran-c receivers and how can i do?) > have you any matlab code or papers or thesis for this problems? > pleassssssssssssse help me? > :( > thanks a lot > >> >> > > > > > _______________________________________________ > time-nuts mailing list -- [email protected] > To unsubscribe, go to https://www.febo.com/cgi-bin/mailman/listinfo/time-nuts > and follow the instructions there. _______________________________________________ time-nuts mailing list -- [email protected] To unsubscribe, go to https://www.febo.com/cgi-bin/mailman/listinfo/time-nuts and follow the instructions there.
