A Method for Orthogonal FH Signals Dynamic Sorting.

In this paper, a new method for dynamically sorting orthogonal FH (Frequency Hopping) signals is presented to solve the problem of sorting the orthogonal FH signals in the complex electromagnetic environment. The method based on the sliding window's data stream models takes advantage of the constructive neural network to cluster frequency-domain data and orientation information dynamically, it reduces the influence of noises and solves the correlation fuzziness of the orientation information and the amplitude. The orthogonal FH signals are dynamically sorted by using time-frequency correlation method in each covered cluster. Experimental results have shown that the method is efficient. [ABSTRACT FROM AUTHOR]