1. A method for estimating a power spectral density of a target noise signal, the method comprising: performing n two-channel acquisitions, wherein each of the two-channel acquisitions includes: acquiring a set of samples of a signal a(t) from a first channel, simultaneously acquiring a set of samples of a signal b(t) from a second channel, and storing the sample set of the signal a(t) and the sample set of the signal b(t) in a memory, wherein the signal a(t) is a sum of a first interfering noise signal and the target noise signal, wherein the signal b(t) is a sum of a second interfering noise signal and the target noise signal; utilizing a computational device to implement: smoothing a complex-valued averaged cross spectral density to obtain a complex-valued smoothed cross spectral density, wherein the complex-valued averaged cross spectral density is an average of n complex-valued cross spectral densities, wherein n is an integer greater than one, wherein each of the n complex-valued cross spectral densities is computed based on a corresponding one of the n two-channel acquisitions; and determining an estimate of the power spectral density of the target noise signal based on the complex-valued smoothed cross spectral density, wherein the estimate of the power spectral density of the target noise signal is stored in a memory.