Marine Radar Target Detection Algorithm Research And Computer Program Development

With the development of maritime industry, higher and higher precision, speed and anti-interference ability in detecting and positioning targets of marine radars are required for discovering dangerous targets on the sea accurately and timely. In the past few years, radar signal processing equipments have been developed from analog circuit to digital circuit. The target detecting methods have also been developed from manual or half-auto detecting methods in normal radar to auto detecting methods in ARPA. Now, digital CFAR detecting methods are widely used, and the precision and reliability have been improved a lot. In this thesis, auto-detection algorithms and target parameters calculate algorithms are studied based on ARPA system to improve the targets auto-detection's precision and reliability of the marine navigation radar.Firstly, principles of marine navigation radar in ARPA system and radar signal statistic detection are introduced. Secondly, a whole targets auto-detecting algorithm is designed. In this algorithm, targets are detected in two steps which are detecting the length of the targets at distance and at azimuth seperately. Auto detection and targets parameters calculation are realized in this algorithm. Finally, pulse accumulation and CA-CFAR processing procedures are added to improve the algorithm. The algorithm is developed in the windows system on the MFC platform of VC++ software and is tested with recorded radar echo data and simulated target signals. And through adding pulse accumulation and CA-CFAR processing procedures, the results also show that the algorithm has good detection capabilities in Rayleigh noise situation.