With the development of modern science and technology, the objects being measured are becoming increasingly complex. People not only need to know the size of a certain object being measured, but also need to know the comprehensive information or some internal characteristic information of the object being measured. A single isolated sensor is no longer able to meet this requirement. The previous sensor technology was to transmit sensor information to independent processing systems. In recent years, a complex system has been equipped withsensorWith the increasing number and variety of sensors (such as a spacecraft requiring thousands of sensors), it is necessary to effectively process a large amount of various sensor information. This means an increase in the amount of information to be processed, and it also involves conflicts and inconsistencies between various sensor data sets. In the early 1990s, when information processing technology evolved from single sensor processing to multiple sensor processing,Sensor information fusionTechnology has become an important direction for the development of sensing technology.

sensorInformation fusion, also known as data fusion, is a technology that comprehensively processes and optimizes the acquisition, representation, and intrinsic connections of multiple types of information. Sensor information fusion technology processes and synthesizes various information from a multi information perspective, obtaining the inherent connections and patterns of various information, thereby eliminating useless and erroneous information, retaining correct and useful components, and ultimately achieving information optimization. It also provides new ideas for the research of intelligent information processing technology.

Sensor information fusion can be defined as follows: it is the synthesis of multi-sensor information that has been integrated and processed to form an expression of a certain feature of the external environment or the measured object. singlesensorOnly partial information segments of the environment or the tested object can be obtained, while multi-sensor information can be fused to reflect the characteristics of the environment perfectly and accurately. The fused sensor information has the following characteristics: information redundancy, information complementarity, real-time information, and low cost of information acquisition.