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Research on the Tracking and Fusing Technologies Between ESM and Early-Warning Radar

Author: ChenJiaHui
Tutor: LiuMei
School: Harbin Institute of Technology
Course: Information and Communication Engineering
Keywords: Track Initiation Track Association Heterogeneous sensor data fusion
CLC: TN953
Type: Master's thesis
Year: 2010
Downloads: 205
Quote: 3
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Abstract


With the development of science and technology , the environment of modern warfare has changed dramatically . The original strategic tool can no longer meet the needs of the real outstanding performance in the emergence of network warfare ideas and information fusion technology development . Increasingly complex war environment and a variety of new weapons continue to emerge has brought great challenges to the data fusion system , in such cases , the paper mainly studies the ESM and early warning radar track initiation , track correlation and heterogeneous sensor data integration and other issues . First project special positioning scene , the emitter signal arrival time ( time of arrival- TOA ) and emitter signals reach the azimuth (direction of arrival-DOA), a mathematical model , solving nonlinear equation of state of the target precise positioning. Comparison of several positioning algorithm by simulation results show that the full use of all the information of the target -based TOA and DOA estimated targeting the highest accuracy . Secondly, the analysis based on the Standard Hough Transform Track Initiation Algorithm inadequacies , time information and heuristic rules to the Hough transform , ant colony optimization algorithm based on Hough transform . The simulation results show that the algorithm is simple and easy to implement, high probability of correct track initiation . Again , in order to solve the public azimuth measurement the ESM and early warning radar track correlation , starting from the actual project , ranging sample size improved track correlation algorithm based on fuzzy comprehensive analysis . Itineraries recognition model for the target measurement data before the associated discriminant fitting can be used for the measurement of the associated pair , thus increasing the reliability of the judgment of the associated . Using the measured data to validate the algorithm , the results show that the algorithm has a good prospect of engineering application . Finally , ESM and early warning radar measurements are not equal, the number of spatial dimensions of this situation, compared to the expansion -dimensional filtering tracking algorithm based on Bayesian filtering fusion fusion tracking algorithm and equivalent sensor fusion tracking algorithm . The augmented filtering algorithm using a flexible , simple, but with the increase in the number of sensors , the amount of computation is increased dramatically , not suitable for engineering applications . Fusion tracking algorithm based on the equivalent filter has better performance on the simulation time and convergence precision .

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CLC: > Industrial Technology > Radio electronics, telecommunications technology > Radar > Radar tracking system
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