Multi-size target detection method based on radar condensation algorithm

Abstract

The invention provides a multi-size target detection method based on a radar condensation algorithm, and belongs to the technical field of radar signals, and the method comprises the following steps: determining a radar condensation threshold; reserving space variables; if the target exists, forming a detection point group by points exceeding a detection threshold in each frame at the angle of the target; respectively counting the number of target points which are not output under the distance unit where the detection point group is located, a target point angle mean value and a target point amplitude maximum value, and numbering; analyzing the to-be-output variable and outputting a condensation target point; and if a new frame of detection data is reported, returning to detection until all frames are scanned. Through the design, under the condition that the coagulation threshold is not changed, the method has the characteristic of simultaneously realizing large target coagulation and small target coagulation, and the target coagulation effect is greatly improved.

Description

technical field [0001] The invention belongs to the technical field of radar signals, in particular to a multi-size target detection method based on a radar agglomeration algorithm. Background technique [0002] For radars with high ranging accuracy and angle measuring accuracy, when detecting a target with a relatively short distance, if the target is large in size, such as a car or an airplane, a large number of detection points will generally be reported; if the target is small in size, the detection relatively few points. The agglomeration algorithm aggregates a large number of detection points into target points for reporting. Commonly used target agglomeration methods can generally achieve small target agglomeration, but the agglomeration effect on large targets such as cars and airplanes is not good, and it is easy to cause target splitting, which seriously affects the performance of target detection. display effect. Contents of the invention [0003] Aiming at th...

AI Technical Summary

Problems solved by technology

The agglomeration algorithm aggregates a large number of detection points into target points for reporting. Commonly used target agglomeration methods can generally achieve small target agglomeration, but the agglomeration effect on large targets such as cars and airplanes is not good, and it is easy to cause target splitting, which seriously affects the performance of target detection. display effect

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