Shipboard/landbased radar clutter/jamming rejection using a structured covariance matrix

摘要

Shipboard/landbased radars require adaptive signal processing to suppress interference consisting of external directional jammers and background clutter. Using a structured covariance matrix form, which includes partial knowledge of the internal noise and temporal clutter covariance matrix, a fast converging adaptive signal processor is developed that can take two forms: (1) simultaneously adaptively weight the spatial (antenna elements) and temporal (pulses) inputs to form an output or (2) adaptively weight the spatial (antenna elements) inputs and nonadaptively pulse-Doppler process thereafter to form an output. In either case it is shown using a simplistic mismatched clutter/jamming model that the convergence performance (within 3 dB of optimum) of the new adaptive processors (AP) is almost the same as that of the fast converging processor when no clutter was present in the data inputs. For both cases, the algorithms converge for typical scenarios under consideration in just a few independent sample vectors per input channel. (C) 2004 Elsevier Inc. All rights reserved.