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Noise jamming detection algorithm

An algorithm for detection of continuous-wave noise jamming in two-dimensional surveillance radar is proposed. The algorithm is highly immune to strong interfering spikes due to using censored video integration of range noise samples collected during dwell time for each azimuth resolution cell. To detect noise jamming the algorithm applies order statistics CFAR to a sequence of azimuthal samples resulted from censored video integration in range. The detection performance of the algorithm in the absence of interference is evaluated numerically by means of an integral equation and verified using statistical simulations. In the presence of infinitely strong spikes the detection and false alarm performances are estimated using statistical simulations.