The estimation of non-stationary filtered poisson process intensity using an adaptive algorithm based on the occurrence of peaks

A recursive algorithm for estimating the intensity parameter of a non-stationary filtered Poisson process is presented. The algorithm, which is tested on simulated acoustic volume reverberation, adjusts the scatterer density until the number of peaks in a segment of simulated reverberation approaches the number of peaks in a corresponding segment of measured reverberation. Extensions of the algorithm may be useful for assessment of marine resources or for the extraction of process intensity estimates for simulation of radar or sonar scattering.