Multi-Frequency Radar Discrimination

The TSC Phase I study will examine novel deterministic approaches to (1) multi-sensor motion parameter estimation and (2) reconstruction of multi-band radar static patterns, for exploiting multiple radars at different frequencies to discriminate the lethal re-entry vehicle from among the large numbers of threat-like objects associated with advanced countermeasures. The proposed features estimate deterministic motion state and multi-frequency static pattern separately. This provides a performance advantage over classical radar discrimination features (e.g. RCS statistics and wideband apparent length) which are hybrid quantities depending on both the static features of a target and its state of motion. Precise estimation of target rotational motion is the key to successfully exploiting information from multiple sensors. S-band provides important information for the motion solution, based on Doppler processing. X-band provides the most detailed static pattern information. In Phase I, TSC will build on and complement ongoing MDA sponsored TSC efforts to construct the needed dual-band static patterns. TSC will dynamically simulate radar signatures and evaluate motion solutions estimated derived from them. In Phase II, discrimination performance will be assessed via Monte-Carlo analysis. Open literature unclassified sources which describe the AN/SPY-1 Cobra Gemini and Cobra Judy X-Band radars will provide nominal S- and X-band parameters.