A robust radar emitter signals recognition algorithm based on Cauchy random projection

Aimed at the performance decline of conventional radar emitter signals recognition techniques with the presence of noise and impulsive interference, a robust recognition algorithm based on Cauchy random projection is proposed. By virtue of sparse characteristics of impulse system radar and impulsive interference, the more robust ℓ₁ norm random projection is combined with the state-of-art sparse representation recognition. As a consequence, the recognition problem is converted into solving ℓ₁ norm minimization. The SaS interference model is built, and the recognition performance between ℓ₂ and ℓ₁ random mapping. Simulation results show the recognition validity of the proposed method in the range of impulse radar signals, and that it´s more robust than sparse recognition method based on ℓ₂ norm random dimensionality-reduction, which is more applicable for the practical applications.