Probability of Anomaly Expressions for Random Waveform Registration

Registration by integral-square error correlation of one-dimensional discrete-time waveforms which are treated as random processes with specified autocorrelation functions is considered. An important design parameter for this class of problems is the probability of anomaly (a false dip in the correlation function) because it gives an indication of system immunity to gross registration errors. Explicit expressions for this parameter are not possible, so bounds and appoximations must be derived. Two upper bounds and an approximation for the probability of anomaly are derived here. The use of these expressions is illustrated by an example. The relative utility of these performance indicators is shown for the example by comparison with actual values of the probability of anomaly obtained by computer simulation.     

Simple Generation of One-Parameter Pseudoterrain Surfaces

A simple method for generating digital terrain surfaces as a function of only the terrain standard deviation is presented. This is accomplished by fitting a postulated autocorrelation model to actual terrain data. Observed relations between model parameters are used to obtain a one-parameter model.     

Horizon Profile Checkpoints for Low-Altitude Aircraft

A technique for utilizing on-board sensed horizon profiles and computer stored reference horizon profiles to provide navigation checkpoints for low-altitude aircraft is described. The technique has been analyzed using digitized terrain data and computer simulations to select the best method of horizon profile comparison, to determine horizon data density requirements, and to provide performance comparisons, system error limitations, and tradeoffs. Results of these analyses are shown to support feasibility conclusions and system parameter tradeoffs.