Analysis on the Inverting Methods for Ocean Surface Current Based on Particle Swarm Optimization

Ocean surface current information extraction is one of the key technologies in the measuring of wave information through X-band radar, and it is the basis for acquiring other wave information more accurately. In order to acquire real-time and high-precision ocean surface current information and solve the problem that the least square method could not get ideal results in dealing with high harmonics waves and background noise, this article proposes to use the PSO algorithm in the theory of swarm intelligence to conduct the inversion of the ocean surface current information. Through inverting the actually tested radar images and comparing the result of this two algorithms, the experimental results show that the algorithm proposed by this article could be able to easily introduce the treatment on high harmonics waves and aliasing effect, less liable to be affected by background noise, and is of higher inversion precision, better stability and suitability.