SVM (support vector machine) space-time adaptive processing method

The invention discloses an SVM (support vector machine) space-time adaptive processing method, and the method makes the most of the features of space-time snapshot data after space-time adaptive processing echo demodulation sampling, enables a clutter inhibition problem to be converted into a pattern recognition problem, and achieves the detection of a moving target through an SVM method. Compared with a conventional space-time adaptive processing method, the method can effectively reduce the requirements for the number of echo range gates. Meanwhile, compared with a conventional space-time adaptive processing method based on polynomial, the method still can obtain better detection performance under the condition of low signal to noise ratio. The method fills a gap that a space-time adaptive processing method at a current stage cannot accurately detect the moving target under the conditions that the number of range gates is smaller and the signal to noise ratio of echoes is lower. The method is simple in structure, and is suitable for detection of the moving target.