Adaptive threshold detection method based on trace point density feedback

Abstract

The invention discloses an adaptive threshold detection method based on trace point density feedback, and relates to the technical field of radar information processing. The method comprises the following steps: carrying out grid division on a detection area, and setting an initial detection threshold; performing threshold detection and trace point extraction processing on the to-be-detected data; storing each trace point in a corresponding grid; and if the trace point number of the target grid is greater than or equal to a preset trace point capacity threshold, adjusting a detection threshold of the target grid, and repeating the steps until the trace point number of the target grid is less than the trace point capacity threshold. The adaptive threshold detection method provided by the invention is suitable for trace point number control under a non-uniform complex background, can control the trace point number in a grid to be kept in a constant range, achieves a trace point level constant false alarm rate processing effect, not only can consider false alarm suppression of a clutter region and weak target detection of a non-clutter region, but also can avoid target missing detection caused by filtering of a large number of clutter trace points.

Description

technical field [0001] The invention relates to the technical field of radar information processing, in particular to an adaptive threshold detection method based on dot trace density feedback. Background technique [0002] Radar information processing mainly includes two parts: signal processing and data processing. Signal processing is to extract the threshold echo data after processing the IQ data of the radar through pulse pressure, interference suppression, Doppler filtering and threshold detection, and then according to the dot trace The extraction rules detect and condense the threshold echo data belonging to the same target distributed in multiple range units and pitch / azimuth wave positions, and perform automatic / semi-automatic track initiation and target tracking data processing after the point track data is obtained. Almost all modern radar systems use automatic track initiation and tracking processing algorithms. The effective extraction of target tracks and the ...

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Problems solved by technology

However, both of these two methods can regulate the number of traces, but in the non-uniform and complex background, directly adjusting the detection threshold cannot take into account the suppression of false traces in the clutter area and the weak target detection in the non-clutter area. When the density of dot traces is high, direct dot trace filtering is performed to deal with clutter and dot trace recognition, which requires a large amount of calculation and is easy to miss the target.

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