Design and Implementation of a New Infrared Counter-Countermeasure Algorithm using Kalman Filter

In a target tracking system, an infrared counter-countermeasure (IRCCM) algorithm is required for target efficient tracking under infrared countermeasure (IRCM) such as IR flares. The function of active IR jamming is to cause the missile to miss its intended target by disturbing the seeker tracking process. The IRCM acts in such a way as to cause either a complete loss of target tracking or to degrade target tracking in such a manner that the guidance of the missile is affected adversely. Obviously, an early optical breaklock is preferable since it usually implies a large miss distance. This paper presents design and implementation of a new IRCCM method using Kalman filter. The proposed algorithm estimates tracking error or correction signal when jamming occurs. The method´s validity is verified with experiments on IR seeker reticle based on a digital signal processing (DSP) processor. The implementation results show that the proposed algorithm can eliminate the IRCM effect 68%