Mixed SSR sources separation exploiting sparsity: a geometrical approach

The aim of this work is to discriminate and separate overlapped downlink SSR signals received by a multilateration (MLAT) station in a crowded environment. As a typical MLAT receiver station is equipped with an omni directional antenna, the probability of multiple receptions increases as a function of the traffic density. The proposed algorithm is conceived for a multi channel receiver with garbled signals discrimination/separation capabilities. Taking advantage of the sparsity characteristics of the MLAT signals (Mode S) our approach faces the problem under a geometrical outline.