An effective detection method based on the neural network is proposed in this paper. By the self-organizing learning in high efficiency, it can model different kinds of noise or clutter rapidly and accurately. This results in a good detection performance, and this detector can approximate the optimal ones on the condition of different statistical distributions. Finally the experiments have proved the effectiveness of this approach.