Aiming at the problem of floating small target detection under sea clutter background, a new floating small target detection algorithm, EEMDCAN-Robust ICA & SG, is proposed.The denoising algorithm combines EEMDCAN, Robust ICA with Savitzky-Golay filtering algorithm to process sea echo signal, and the improved bat algorithm is used to optimize KELM model for chaotic prediction of reconstructed signal.The experimental results show that:1) The new algorithm greatly suppresses the sea clutter without destroying the chaotic characteristics of the sea clutter;2) Under the same conditions, the training time is shorter and the prediction accuracy is higher compared with that of the traditional chaos prediction algorithms;and 3) The detection performance of the new algorithm is stable, and the detection performance under low signal to clutter ratio is significantly superior to that of the traditional algorithm.It has been proved that the new algorithm can detect small floating targets quickly and effectively.