What are the most robust implementations of passive/self-localization assuming high noise and reverberation? I am doing research on a related subject that requires the use of TDOA estimation of two signals in an environment with a great deal of noise and reverberation. If anyone had any expertise on (or links to research regarding) robust passive localization/self-localization, it would be greatly appreciated - thanks!!
It is well known that the GCC-PHAT algorithm (based on signals correlation) is robust in the case of reverberation. You can also use preprocessing algorithms to reduce noise.