An improved method for separation of garbled secondary surveillance radar replies
Cheng Li, Yu Zhang, Bo Tang · 2017
For improving the method of FastICA to separate garbled secondary surveillance radar (SSR) replies signals having fault in time for separating and calculated amount, an improved method was proved in this paper. Firstly, the algorithm uses PA to estimate the separating matrix W. Then using iteration on measures of negentropy to get the best matrix. Finally, garbled signals are separated effectively with guidance matrix. Numerical simulations show that the proposed method can separate multiple replies accurately in the complex environment and it outperforms the algorithm of nc-FastICA obviously in the separation performance.