A Range Estimation Algorithm for Anti-Aircraft Artillery

This paper proposes a range estimation algorithm for anti-aircraft artillery (AAA) which operated by man. The man is required to identify, acquire, and accurately track a maneuvering aircraft. However, the man brings to the AAA system various inherent limitations, such as reaction time delay and randomness, which limits his tracking ability thus missing measurement. To cope with these situations, an easy and efficient method is proposed that using preprocessing filters in the fire control system when the sensor data are frequently unreliable and missing. It computes probability matrix for state transition after modeling filter states as finite-state Markov chain, and computing false alarm and detection probability of each filter state under the measurement failure probability. The modified weighted least square method is used to estimate range according to preprocessing filter´s state. The simulation shows that the proposed algorithm is reasonable and appropriate when the sensor data have nonstationary characteristic