Model Order Selection (MOS) rules are exploited to devise two adaptive architectures for multiple noise-like jammer detection which process clutter-free data. Specifically, the former contains a MOS-based stage, that makes inference on the number of jammers, and a detection stage, that confirms the presence of the jammers suitably exploiting the estimates provided by the first stage. On the other hand, the latter architecture, which relies on the Modified Likelihood Ratio Test proposed in [1], jointly performs detection and estimation. Remarkably, both guarantee the constant false alarm rate property with respect to the thermal noise power. At the analysis stage, the performance of the proposed architectures are investigated highlighting the interplay among the different parameters.
Detection of Multiple Noise-like Jammers for Radar Applications
01.06.2018
1507841 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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