Secondary Surveillance Radar: Sparsity-based sources separation in a real environment

Abstract

Secondary surveillance radar (SSR) based on multilateration principle and omni-directional antennae are operational today [1], [2]. We proposed several new algorithms to separate a mixture of overlapping SSR replies on a M-elements antenna in previous works [3], [4], [5], [6], other solutions were also proposed in the literature [7], [8], [9]. Unfortunately, a rare event, but important, has not yet been resolved: the impinging of more sources than sensors with an approximate similar time of arrival. This preliminary work studies the use of the SSR sources sparsity property, as in [10], [11], [12]. Real recorded signals in a live environment will be used to demonstrate the effectiveness of the proposed techniques.