Current radar systems utilize advanced processing techniques to optimize detection, accuracy and resolution performance. Although the detection range of these systems is still calculated with the basic range equation, prediction of the accuracy and resolution performance of such systems generally require detailed simulations. This thesis examines the positional accuracy of a pulsed surveillance radar utilizing various position estimators.
The following dissertation considers the single-scan two-dimensional positional accuracy of a pulsed surveillance radar. The theoretical aspects to the positional accuracy are considered and a generalized analytical approach is presented.
Practical position estimators are often complex, and theoretical predictions of their performance generally yield unfriendly mathematical equations. In order to evaluate the performance of these estimators, a simulation method is described based on replicating the received video signal. The accuracy of such a simulation is determined largely by the accuracy of the models applied, and these are considered in detail. Different azimuth estimation techniques are described, and their performances are evaluated with the aid of the signal simulation.
The best azimuth accuracy performance is obtained with the class of analogue processing estimators, but they are fund to be more susceptible to interference than their binary processing counterparts. The class of binary processing estimators offer easily implemented techniques which are relatively insensitive to radar cross-section scintillation characteristics. A hybrid estimator, using both analogue and binary processing, is also evaluated and found to give an improved accuracy performance over the binary processing method while still maintaining the relative insensitivity to radar cross-section fluctuation.