The analysis of scan-to-scan integration techniques for sea clutter

To cancel sea clutters, techniques of decorrelation, integration, and threshold are often applied. This paper discusses two integration techniques, i.e. the direct integration and its recursive first-order approximation, and evaluates their performance by a Monte Carlo simulation which runs 10⁸ cycles for each statistical sea clutter model. The experimental results show that the integration parameter of the first-order approximated integration is very close to the theoretical value for all simulated models of clutters. It is also found that the threshold value increases rapidly for long tail clutters and more number of integration gives larger integration gain