Gao Tian

Multi-sources information fusion algorithm in airborne detection systems

Abstract To aim at the multimode character of the data from the airplane detecting system, the paper combines Dempster-Shafer evidence theory and subjective Bayesian algorithm and makes to propose a mixed structure multimode data fusion algorithm. The algorithm adopts a prorated algorithm relate to the incertitude evaluation to convert the probability evaluation into the precognition probability in an identity frame, and ensures the adaptability of different data from different source to the mixed system. To guarantee real time fusion, a combination of time domain fusion and space domain fusion is established, this not only assure the fusion of data chain in different time of the same sensor, but also the data fusion from different sensors distributed in different platforms and the data fusion among different modes. The feasibility and practicability are approved through computer simulation.

An Improved Terminal Guidance Algorithm Based on Differential Game Theory

Two-side optimal problem of pursuit-evasion conflicts is studied in this paper, and a new missile guidance law for air defense missile intercepting maneuver target is developed. The guidance law could be called as Reduced Sensitivity Guidance Law (RSGL), which is based on the differential game theory and the capacity of target maneuver. The mathematical model of RSGL is solved by riccati equation method. According to the target acceleration estimation values processed by kalman filter method, the missiles terminal guidance of RSGL parameters can be modified to improve the guidance performance, which with low sensitivity to time-to-go estimation error. Compared to the simulation results under the same situation, RSGL has higher performance than the augmented proportional navigation (APN) and the minimum effort guidance law (MEL) with less miss distance and lower acceleration of pursuit missile.

Research on Real-time Localization Algorithm of Aircraft on use of Pilot Signals

A 3-D passive localization algorithm on the low-altitude aircraft is presented, which takes use of CDMA cellular network pilot signals. The method is using the time differences of arrival (TDOA) of CDMA cellular network pilot signals to make twice weighted least squares(WLS), and then taking use of the original information of Inertial Navigation System(INS) to make fuzzy elimination, finally achieving 3-D real-time positioning of the low-altitude aircraft. Monte Carlo simulation shows that the algorithm is of high speed and high precision, in the Gaussian white noise conditions, the mean square error approaches Cramer-Lao (CRLB).