You don't use fast convolution when using an FPGA. Do this in the time
domain. That's the purpose of using hardware over software. Expand your
algorithm for complex cross correlation and you will end up with a
string of simple algebraic terms. You will have to look at your losses
using fixed point vs. floating point.
--Ryan
Lin Ji wrote:
Hi,
I wonder what if the easiest way to perform real-time cross
correlation in the FPGA on USRP? I've worked weeks on writing a close
form algebra doing cross correlation,but since all my algorithms are
based on floating points and multiplication/division, I'm
afraid it's hard to convert that to Verilog code later.
All I need to do is for 2 sequence A and B, perform this:
max(ifft(fft(A).*conj(fft(B))));
It's really easy to do in MATLAB and relativly simple in C++, but in
Verilog? I have no idea...
Please people, if any one has done this before or anything related,
share some information with me, I would really preciate that!
/Lin Ji
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