1. A method for real time matched field processing, said method comprising the steps of: measuring acoustic data from at least one sensor of a sonar array of sensors; providing a first data input from said measuring step; translating the first data input to a frequency domain with a Fourier transform to a set of continuous time samples from said at least one sensor; defining a data vector from the frequency domain; determining at least one replica vector representing a predicted value of the at least one sensor output for a specific frequency; averaging multiple replica data sets of the at least one replica vector to the first data input; determining a closest matched data set to the first data input from said averaging step; and outputting an ambiguity surface as a set of numbers in a range between zero and one with a highest value corresponding to a position of an acoustic source.