Performance of an ATR Index Module

| We present a performance analysis of an indexing module contained in an automatic target recognition (ATR) system developed at Worcester Polytechnic Institute (WPI). The Linear Signal Decomposi-tion/Direction of Arrival (LSD/DOA) technique provides a low computational-cost indexing function for pose in ATR applications. The LSD/DOA technique forms a reduced-size, essential-information object data set which implicity incorporates target and sensor variation speciic data. To control computational costs, the system consists of two independent components: a computationally expensive oo-line component which forms the object representation and a computationally inexpensive on-line object recognition component. The size of the stored data set may also be adjusted, providing a means to trade oo complexity versus performance. Synthetic aperture radar (SAR) data collected as part of the Moving and Stationary Target Acquisition and Recognition (MSTAR) program has been released to the public, providing an opportunity for ATR performance assessment against a standard high quality data set. We present the results of a number of simulated tests against the MSTAR public database to demonstrate the performance of the LSD/DOA index module on a given target along with the performance of the WPI ATR itself as a function of depression angle and target connguration.