Research On Comprehensive Analysis Method Of AIS And ADS-B Information In High Frequency Surface Wave Radar

AIS,ADS-B and HFSWR,as important surveillance and tracking systems in the sea and airspace,can obtain target dynamic information.The difference is that HFSWR is an autonomous detection and tracking target,but the amount of information provided is small,the accuracy is not high,and it is easily affected by the terrain and climate.AIS and ADS-B are passive detection methods that can only provide information about cooperative targets.The information data rate is high,the positioning accuracy is accurate,and they are not easily affected by terrain,climate,and sea conditions.Therefore,the information fusion between multi-source sensor information and HFSWR is of great significance to the promotion and application of HFSWR.This thesis uses HFSWR as the research background,and cooperates with AIS and ADS-B equipment to study the comprehensive analysis method of AIS and ADS-B information in HFSWR.First,the HFSWR antenna array correction method based on AIS information is studied.According to the actual antenna array,the radar echo signal model and the amplitude-phase error model are constructed,and on this basis,the influence of the amplitude-phase error on the Direction of Arrival(DOA)is analyzed.Simultaneously,different types of signals are simulated and analyzed.The correction effect of the amplitude and phase error correction algorithm.Aiming at the deficiencies of the passive correction algorithm,this thesis adopts a method of antenna array correction using AIS information.This method uses high signal-to-noise ratio ship target echo information and target AIS information to calculate the phase error and amplitude of the antenna array error.The effectiveness of the method is verified by HFSWR measured data and corresponding AIS information,and the measured data processing flow is given.Finally,the consistency compensation of each receiving channel is carried out to improve the accuracy of HFSWR angle measurement.Secondly,the method of trajectory association based on multiple data sources is studied.The essence of trajectory association is to achieve target information matching among multiple devices.First,the characteristics of HFSWR,AIS and ADS-B data sources and the process of trajectory correlation are studied and analyzed,and the coordinate transformation and time registration of multi-source data are realized.Secondly,the principle of the track correlation algorithm based on the mean nearest neighbor is studied,and the selection process of the threshold parameters is analyzed.The mean nearest neighbor criterion of the track in a period of time is selected as the overall track correlation criterion.Finally,combined with HFSWR measured data to verify the effectiveness of the correlation algorithm.Finally,the detection performance evaluation method based on AIS/ADS-B information is studied.First,the AIS and ADS-B information are coordinated to analyze the single-target and multi-target trajectory accuracy of HFSWR ships and aircraft.Compared with the single-target results,the multi-target results are more reliable.Secondly,the situation assessment of non-cooperative targets in the detection area is carried out through the track correlation and the measured data of HFSWR.Finally,according to the actual HFSWR system,a clear index system is established,the comprehensive performance of HFSWR is evaluated by tomographic analysis,and the feasibility of the method is verified by simulation experiments.