Receiving and Fusion Processing of Space Reconnaissance Data Based on Multisensor

In the coming information age, intelligent reconnaissance and comprehensive analysis of communication targets in the electromagnetic signal environment of space areas is an important aspect of obtaining space information rights. In the future, the reconnaissance of space communication targets will be characterized by large data capacity, multiple sources, and high correlation. At the aeronautical information processing center, all reconnaissance data is not allowed to be continuously and simply accumulated. It is necessary to carry out effective fusion processing and intelligence integration to form a clear, reliable and complete intelligence description of the state of communication targets. The purpose of this paper is to receive and fuse multi-sensor-based space reconnaissance data. In terms of method, this paper mainly analyzes the start of the trajectory, and then analyzes the error registration of the sensor. The sources of sensor system error include: distance error, azimuth error, elevation error, time error and position error. The sensor has time alignment and spatial error recording. Through wavelet threshold denoising and Kalman filtering, the obtained information is more complete. In terms of experiments, after analyzing the observation accuracy of each sensor and eliminating the relative deviation, data fusion and processing are performed. Data preprocessing includes coordinate transformation, outlier elimination and data compression. Four aircraft and three sensors are analyzed: radar sensor SAR, infrared sensor IR and photoelectric sensor EO. Finally, it is concluded that the effectiveness and fault tolerance of the data are significantly improved after the data fusion.