Marc Oudin

ABSTRACT - Nous nous intéressons dans cet article à l'algorithme Opposition dans les Lobes Secondaires (OLS) utilisé en traitement d'antenne RADAR dans un but d'antibrouillage en contexte de rotation d'antenne. Nous montrons que l'utilisation de la méthode Extended Sample Matrix Inversion (ESMI) [2] conduit alors à des performances supérieures à la méthode standard.

An effective scheme for spatio-temporal processing with ground-based rotating radars consists in making adaptive spatial filtering, with frequent updates, followed by temporal processing. In presence of jamming and clutter, spatial processing first filters jammers, whereas temporal processing then filters clutter. However, starting by making a spatial adaptive processing requires to dispose of jamming + noise alone reference. But as clutter

ABSTRACT In this paper, we consider the problem of using space-time adaptive processing (STAP) in ground-based rotating radars, in the case where no jamming alone reference is available. Thus, we propose the use of a STAP algorithm, in which adaptive processing is applied in beam post-Doppler space. First, we give design rules for the implementation of this processing, after considering two cases depending on the knowledge of the jammerspsila DOAs and investigating the influence of the number of Doppler filters on performance. Then, we show by simulations that the proposed processing is robust to antenna rotation and has the advantage of having both an high convergence speed with the number of training samples and a low implementation complexity.

ABSTRACT This paper considers spatio-temporal filtering in ground-based rotating radar systems. After the drawbacks of the standard spatio-temporal processing in this context are underlined, an hybrid spatio-temporal scheme is proposed to overcome them. Finally, this introduced processing is compared to standard ones through Monte Carlo simulations

ABSTRACT This paper considers interference cancellation in radar systems when the signal environment is non-stationary and focuses on the extended sample matrix inversion algorithm (ESMI) first proposed by Hay ward (1996). An explicit expression of the signal to noise plus interference ratio (SINR) obtained by this ESMI algorithm is given and analyzed. Compared to the SMI algorithm, it is shown that the performance improves for mainlobe jammers but degrades for sidelobe jammers. To overcome this drawback, an alternative constraint strategy is proposed which attains the good performances of the standard ESMI algorithm whatever the position of the jammers. Finally, the explicit expressions of these SINR are compared to Monte Carlo simulations w.r.t. implementation conditions