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Multi-sensor multi- target track association and fusion algorithm

Author: ChengYueBing
Tutor: DaiYueWeiï¼›ZuoYuDe
School: Nanjing University of Technology and Engineering
Course: Control Theory and Control Engineering
Keywords: Multi-sensor Target tracking IMM filtering Track Association Track Fusion
CLC: TP212
Type: Master's thesis
Year: 2010
Downloads: 362
Quote: 3
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Abstract


With the rapid development of modern science and technology, as well as the needs of modern warfare , maneuvering target tracking application of information in the field of fusion technology is a research hotspot in recent years . High maneuverability and the complexity of the face of the modern battlefield enemy flying targets , in order to effectively combat and defense targets must organic combination of multiple sensors to provide target information to accurately track . In this paper, a particular research projects , the use of distributed radar network technology , of IMM filter used in this paper , the track association and fusion algorithm to be implemented in software , and carried out a series of computer simulation . First, target tracking field measurement data pre-processing technology , as well as interactive multiple model tracking algorithm kalman filtering based on the analysis of simulation examples prove that the algorithm is effective . Provide data support for follow-up research track association and fusion algorithm . Secondly , based on practical engineering background , is widely used weighted , fix , track correlation algorithm independent sequential distributed a summary of the discussion and analysis in Track crossover , bifurcation , and the merger of the case , independent of sequential theoretical feasibility of the algorithm , and simulation examples prove the practicality of the algorithm . Finally , the article describes several common target tracking track fusion algorithms , including both centralized and distributed . View of the centralized computing large and higher requirements on the system processor , distributed fusion algorithm , and associated successful route , using no feedback optimal distributed fusion algorithm 50 times Monte Carlo simulation , to verify this algorithm reliability. This article from the engineering point of view , this paper discusses the key target tracking data fusion technology , provides a useful reference for practical engineering applications .

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CLC: > Industrial Technology > Automation technology,computer technology > Automation technology and equipment > Automation components,parts > Transmitter ( converter),the sensor
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