Vichicl Target Respect Research Based On Muti-sensors Iformation Blend

In this paper, many methods of data association are analyzed and summarized. Functional model and fusion methods are discussed from applied angle. In addition, basic elements in targets tracking technology are introduced. Furthermore, based on the project which systemic study for information processed real-time of armored vehicles is introduced, the general framework and working flow are explained and some methods of several key steps have a detailed analysis in this paper.Firstly, the nearest neighbor for data association (NNDA) and fast algorithm for data association (FAFDA) are introduced in this paper. At the same time, emulation experiment and analysis of emulation result are conducted, which validates merits and defects between NNDA and FAFDA. This paper presents a novel method of data association based on fast algorithm for data association and multiple sensors joint probability data association, which is called multiple sensors fast algorithm for data association (MSFAFDA). The basic theory of MSFAFDA is that all the data in gate are regarded as valid data. But associated probabilities of the valid data are different. The second data are calculated according to the first data and observational data. At the same time, emulation result and error contrast and analysis between NNDA and MSFAFDA validate it.Secondly, in allusion to question which the precision of targets gained by radar is low, azimuth gained by infrared sensor with high precision is introduced to improve azimuth precision of targets fused. This algorithm makes good use of merits between radar and infrared sensor. Emulation experiment validates that azimuth error of targets fused is reduced rapidly.