Re: signal detection in doppler

On May 19, 9:28 am, "cpshah99" <cpsha...@xxxxxxxxxxxxxx> wrote:
Hello People

I have been scratching my head on this doppler problem:

Because of the doppler effect, the received signal will either be
expanded
or compressed on time axis.

Now, the expansion or compression is sampling rate conversion. So, I
tried
to use 'resample' function of matlab. The actual length of the signal
is
30720 and sampling freq is 48000Hz.

Now, when I use y=resample(x,10010,10000) i can find the peak i.e.
start
of my data by correlating the signal with training sequence.

But when I use y=resample(x,10007,10000) i can't find the peak.

So is there any better way to
1. model this exapnsion or compression
or 2. to find peak when the received is corrupted by severe doppler.

Help in this regard will be highly appreciated.

Chintan

Just clarify - a doppler shift isn't modeled by a frequency shift. It
is really a time dilation. For pure sinusoids it then appears as a
frequency shift. If you signal doesn't have a lot of bandwidth wrt the
center frequency then you can approximate the doppler shift by a
frequency shift.

Cheers,
David

%%%%%

Hi David

My center freq is 12KHz and BW is 4 KHz.

I understand as u said, the doppler effect is time dilation, but should I
just shift the center freq or sampling freq to approximate the doppler
shift because if I shift carrier freq then it will just add phase shift but
it will not expand or compress the signal.

Also I am reading Multirate Digital Signal Processing by Crochiere and
Rabiner to implement Farrow Interpolator, suggested by Julius.

Thanks you again.

Chintan.
.

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