Narrowband interference suppression in impulsive channels

Suppression algorithms are developed first for a channel containing only impulsive background noise and then for a channel containing a spread-spectrum signal as well. These algorithms are based on nonlinear filters that produce predictions of the interfering signals that are then subtracted from the received signal to suppress the interference. Several such filters, including both fixed and adaptive ones, are proposed and compared using extensive computer simulations. The independence of the filtering procedures from the noise distribution shape, given constant second-order statistics, is shown     

Statistical estimation of navigation errors

An algorithm for estimating navigation system accuracy without the use of so-called ground truth data is presented. The estimates are expressed in terms of system covariance matrices and relative bias vectors; if one of the systems is a dead-reckoning (DR) or inertial system, the algorithm also estimates drift rate parameters. A summary of tests with US Navy ships backs up the results of Monte Carlo testing. The algorithm should also have applications outside the field of navigation