Detection Algorithm Research On Taget Tracking At Sea Using HFSWR

Ocean is a sustainable economic development strategy, as well as an important barrier of national security. Every country attaches great attention to the monitoring of maritime security. High Frequency Surface Wave Radar (HFSWR) uses the effect of the high frequency electromagnetic waves diffract in the Earth’s surface makes the wave propagates along the Earth’s surface layer for the purpose of ultra-horizon detection. Because the over the Horizon, large-scale, all-weather, low cost, etc. advantages of HFSWR, it has become an important means of marine monitoring, which to achieve effective monitoring of the exclusive economic zone, safeguarding national maritime rights and interests. Therefore, practical value has appeared while using HFSWR to track targets at sea and going ahead with correlation algorithm.By probing maritime target point track with HFSWR, developing the appropriate track generation algorithm, to achieve the goal of track generation and trace detection. The main research of the paper is in the following aspects:Data analysis and processing:the data characteristics of the measured HFSWR point trace and Automatic Identification System (AIS) is analyzed, raw binary data format of the point trace is converted to text format, the needed parameters information is extracted.Determine the track initiation and generation algorithm:completes correction logic method to set the track initial, solves the targets intermittent appearance which will not have much impact on the appropriate association process and the interference of the presence of clutter. The principles of tracking and the algorithm are analyzed which includes track starting, data association, track filter and track end. When the track is stable, if the target is temporarily lost, uses the adaptive α-β filter algorithm and constant gain α-β filter algorithm continue to track and lock the movement of it, and extend appropriate batches of the track. When the target appears again can be achieved the goal of continuing tracking.Data association:the measured point track associates with the generated track choosing the method of nearest neighbor in the process of track generation, using the angle, distance and radial velocity information as features, set the association gate to judge the association of point and track data within a certain time.The verification of the generated track:judge the association of the HFSWR target track that respectively generated by adaptive a-P filter algorithm and constant gain α-β filter algorithm with synchronous AIS track, the validity of the algorithm is verified. The cooperation and the non-cooperation vessels can be distinguished from the association results, the accuracy of the generated track is improved.Vessel surveillance system design:the design environment of the ship monitoring application system is Visual Studio 2010, the programming language is C#. The main function of system includes the position of the point information detected by HFSWR, the location of AIS information, reading and display the generated track by adaptive α-β filter algorithm and constant gain α-β filter algorithm, the show of track using nearest neighbor data association algorithm, map zoom and using the latitude and longitude information to find the data.