An automatic initiation method for maritime targets based on resampling and spatial energy reconstruction

Abstract

The invention discloses a resampling and space energy reconstruction-based marine target automatic starting method, which is particularly applied to automatic starting of a marine target under the conditions of strong sea clutter and low signal-to-clutter ratio. An implementation process comprises the following steps: performing resampling processing on a state space to obtain corresponding discrete units, and performing initialization; performing energy weighting accumulation on discrete units in a current period to implement space energy reconstruction by virtue of discrete units corresponding to a maximum value function in a state transfer range in a previous period, and storing other parameter information in the units; performing threshold judgment on value functions of the accumulated discrete units, and adding the discrete units exceeding a threshold into a candidate target state set; searching for an optimal candidate target state for addition into a to-be-confirmed target state set in a traversing manner, and removing other related candidate target states; performing statistical judgment on fine feature parameters such as Doppler information and echo energy of to-be-confirmed target states, and performing path backtracking on a target state consistent with a target characteristic.

Description

technical field [0001] The invention belongs to the field of radar target data processing, in particular to a method for automatic starting of sea targets under the background of sea clutter. Background technique [0002] In the process of automatic start of the target under the sea clutter background, due to the low signal-to-clutter ratio of the target in the strong sea clutter, it is difficult to set the detection threshold to detect the target by using the traditional pre-tracking detection method, and the threshold is too high to cause false alarms , the threshold is too low and the false alarm rate is too high, it is difficult to use the traditional starting method to start the track correctly, although the traditional tracking method based on dynamic programming can use the accumulation of multiple cycles to get the target, but due to The energy diffusion problem of the algorithm itself and the sea clutter also have a certain correlation, resulting in false targets, w...

AI Technical Summary

Problems solved by technology

[0003] Using the traditional tracking-before-detection method based on dynamic programming, due to the strong sea clutter environment and its own energy diffusion problems, the target automatic initial false alarm rate is high, and there are also multiple targets with poor tracking accuracy and relatively short distances. Target missing alarm and other issues

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