Deinterleaving of Interfering Radars Signals in Identification Friend or Foe Systems
Younes Ahmadi, Kamal Mohamedpour, Moein Ahmadi · 2010
In a dense modern electronic warfare environment, IFF/SSR systems receive a wide range of signals from existing radars. Among the most important tasks of such systems are recognition of signals, extraction of work modes for each of the present objectives, separation of received signals, their classification and identification of friend or foe. Because of the equality of the frequency of interrogation signals, the similarity of pulse width in IFF/SSR Radars, and the lack of accuracy of the pulse amplitude as a proper criterion for classification, it is necessary to use a suitable algorithm for deinterleaving and clustering of such radars. By the present study, after proposing an optimized estimation of MRI mean value and devising a method for extracting interfering radars modes in received frame, the main lobes of the existing radars in considered frame are selected based on choosing a proper threshold. Then, using smoothing method, non-interfered parts of radars are separated. In consequence, by determining MRI modulation type and radars mode pattern from the non-interfered part, deinterleaving of the interfering radars is done.