Separation of Garbled Secondary Surveillance Radar Signal Based on Multichannel Array Processing
Bo Tang · Telecommunication Engineering · 2014
To overcome the problem of decoding errors of secondary surveillance radar( SSR) due to the presence of garble,an algorithm for separating the garbled replies based on array processing is proposed. Firstly,a signal model for the garbled replies is established in which the transponder of SSR utilizes the uniform linear array. Then methods for the detection of the number of transponders and the estimation of their direction of arrival( DOA) are presented. Afterwards,a recovery algorithm of the garbled replies from the transponder based on maximum likelihood estimation is proposed. Numerical simulations show that the proposed method can accurately and simultaneously separate multiple replies,and it significantly outperforms the fast independent component analysis( FastICA) algorithm. The seperation performance of the proposed method is lower at least 10 dB than that of FastICA algorithm when SNR 10 dB.