Target State Bias Estimation Using Co-Located Radar Measurements

The problem of radar bias estimation is very important for ballistic missile defence development. With increasing treats capability and it's impact ranges, a careful design of Interceptor kill Vehicle with suitable capabilities are very essential. Interception with larger radar biases requires more lateral force from kill Vehicle thus making them heavy, it also requires onboard seeker to have larger target tracking range. In this paper a novel approach is presented to estimates the radar measurement bias by using only one radar which is collocated to interceptor launch location. Here a radar is placed such that it can track both the target missile as well as interceptor missile simultaneously. The onboard interceptor navigation data is fused with the radar measurements to estimate the biases in radar measurements corresponding to target tracks. In this paper a target bias estimation using Extended Kalman Filter is formulated and presented for BMD system. The simulation result shows significant reduction in handing over error which leads to the better kill vehicle design against a high speed targets with technologically feasible Radio Frequency seeker.