TY - JFULL AU - Ronald M. Yannone PY - 2008/8/ TI - Deterministic Method to Assess Kalman Filter Passive Ranging Solution Reliability T2 - International Journal of Electronics and Communication Engineering SP - 1466 EP - 1472 VL - 2 SN - 1307-6892 UR - https://publications.waset.org/pdf/14424 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 19, 2008 N2 - For decades, the defense business has been plagued by not having a reliable, deterministic method to know when the Kalman filter solution for passive ranging application is reliable for use by the fighter pilot. This has made it hard to accurately assess when the ranging solution can be used for situation awareness and weapons use. To date, we have used ad hoc rules-of-thumb to assess when we think the estimate of the Kalman filter standard deviation on range is reliable. A reliable algorithm has been developed at BAE Systems Electronics & Integrated Solutions that monitors the Kalman gain matrix elements – and a patent is pending. The “settling" of the gain matrix elements relates directly to when we can assess the time when the passive ranging solution is within the 10 percent-of-truth value. The focus of the paper is on surface-based passive ranging – but the method is applicable to airborne targets as well. ER -