Adaptive Detection of Coherent Radar Targets in the Presence of Noise Jamming

Pia Addabbo (1) , Olivier Besson (2) , Danilo Orlando (3) , Giuseppe Ricci (4)

1 Giustino Fortunato University
2 ISAE-SUPAERO - Institut Supérieur de l'Aéronautique et de l'Espace
3 UNICUSANO - University Niccolò Cusano = Università Niccoló Cusano
4 Università del Salento [Lecce]

In this paper, we devise adaptive decision schemes to detect targets competing against clutter and smart noise-like jammers (NLJ) which illuminate the radar system from the sidelobes. Specifically, the considered class of NLJs generates a pulse of noise (noise cover pulse) that is triggered by and concurrent with the received uncompressed pulse in order to mask the skin echo and, hence, to hide the true target range. The detection problem is formulated as a binary hypothesis test and two different models for the NLJ are considered. Then, ad hoc modifications of the generalized likelihood ratio test are exploited where the unknown parameters are estimated by means of cyclic optimization procedures. The performance analysis is carried out using simulated data and proves the effectiveness of the proposed approach for both situations where the NLJ is either active or switched off.

Mots clés: Adaptive radar detection; Alternating estimation; Generalized likelihood ratio test; Electronic countermeasures; Electronic counter-countermeasures; Noise cover pulse; Noise-like jammers

Domaines: Traitement du signal et de l'image [eess.SP]

Pia Addabbo, Olivier Besson, Danilo Orlando, Giuseppe Ricci. Adaptive Detection of Coherent Radar Targets in the Presence of Noise Jamming. IEEE Transactions on Signal Processing, 2019, 67 (24), pp.6498-6510. ⟨10.1109/TSP.2019.2954499⟩. ⟨hal-02613952⟩