That is quite interesting, and makes sense! The spread-spectrum signal is a psuedo-random, but same sequence for all receivers, while the noise varies and shoul

That is quite interesting, and makes sense! The spread-spectrum signal is a psuedo-random, but same sequence for all receivers, while the noise varies and should cancel out. Though, if I am not mistaken, the laws of super-sampling hold in this case, and SNR is only improved by O(sqrt(N)) for N samples, so this approach will have practical limits as one has to place a very large number of receivers in range of the emitter (or do auto-correlations over a very long time window), with enough separation to make sure the noise isn't correlated anymore, if looking for a signal deep below the noise floor.