The Application Of Passive Location In Data Fusion

On the condition of wildly use of Electric Antagonized, the active sensor is easy tobe the object of disturbance of enemy. Though the data can be provided reluctantly.which is flood in a lot of disturbance and is not provided, error of measurement andfalsity of alarm may be high. In this case, it is important that to use passive sensor todetect implement location and recognize of the object. Act as good complementarily andconsummation of active location, passive sensor location has advantage of distance offunction, cover-up receiving, and being difficult to detect upon the active sensor. Thepassive sensor has extraordinary anti-defended. But the passive sensor location can notdeal with the best signal matching filter, and it limits the precision of location. Underthis foreground of application, the thesis pay attention to the research of data fusionalgorithm on passive sensor location of multi-sensor and multi-object. It researchesalgorithm, error analysis, and advantages and disadvantages of two- and three-dimension passive sensor location. And it researches the principle and error analysis ofTDOA, and tactic about distributing of station. It changes the algorithm of point-traceassociation, attribute parameter-trace association according to characteristics of passivesensor location. And it researches the tactics of association under passive sensorlocation. It changes the tactic of the simulation of battlefields to adapt to the fusiontactic of passive sensor location, and correct the irrationality.