Biography
Enrollment Date: 2010
Graduation Date：2013
Degree：M.S.
Defense Date：2012.12.17
Advisors：Guolin Li
Department：Institute of Microelectronics，Tsinghua University
Title of Dissertation/Thesis：Marine radar display terminal software design and implementation
Abstract:
Maritime transport is playing a more and more role in the transportation , it is a great issue to ensure the voyage safety. Marine radar is of vital significance for the navigation security. It has became one of the indispensable navigation and ship anticollision equipments. The backend display system is the integral part of marine radar which consists of four modules, the display module, the target detection module, the target tracking module and the anticollision module of which the target detection and the target tracking are the key function of the radar backend. The target detection module is in charge of the signal processing which detects targets from clutters and noise. It involves in anti-disturbing, sea clutter elimination , CFAR and so on. it It is the key technology of processing the clutter and noise. Following the target detection is the target tracking module, target tracking module takes the responsibility of tracking targets, it takes some algorithms to filter and predict the captured target states. At the same time, the growing trend of the backend is generalization and software change. The thesis employs a software architecture of marine radar backend display system , integrating radar image display, target detection and target tracking based on a universal computing platform. A QT development framework and OpenGL library are adopted to accelerate the radar image display. The display module accomplishsaccomplishes the display related function, including radar echo display, off center display, open window display, target capturing and so on . The target detection module takes advantage of classic clutter and noise algorithms, including the Cell Average Const False Alarm Rate (CA-CFAR) algorithm to detecting the targets, the sea clutter suppression curve to eliminate the sea clutter. In the target tracking module, to reduce the load of computing , the Global Nearest Neighbour (GNN) algorithm is adopted to solve the data association and the αβ filter algorithm is adopted to filter and predict the target state. The thesis takes multi-thread pattern to improve the performance of the system. In the system, each module represents an individual thread, making the backend system as a entire entity and keeping each module as an standalone as well. The thesis uses the classic mutex and wait condition to solve the multi-thread communication. This marine backend display can achieve the image display , target detection and target capture in a stead？？ way.