Multi-maneuvering target tracking method based on depth deterministic strategy gradient DDPG

A maneuvering target tracking and deterministic technology, applied in the field of target tracking, can solve the problem of not considering the impact of target tracking performance, and achieve the effect of solving model-free and Markov decision-making problems, improving tracking accuracy, and high tracking accuracy.

Active Publication Date: 2020-04-17
XIDIAN UNIV +1
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  • Abstract
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  • Claims
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Problems solved by technology

This method only considers the tracking accuracy at the next moment when the target is irradiated each time,

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  • Multi-maneuvering target tracking method based on depth deterministic strategy gradient DDPG
  • Multi-maneuvering target tracking method based on depth deterministic strategy gradient DDPG
  • Multi-maneuvering target tracking method based on depth deterministic strategy gradient DDPG

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Embodiment Construction

[0048] The present invention will be described in further detail below in conjunction with specific examples, but the embodiments of the present invention are not limited thereto.

[0049] See figure 1 , figure 1 It is a flow chart of a multi-maneuvering target tracking method based on deep deterministic policy gradient DDPG provided by an embodiment of the present invention, including:

[0050] Build a deep deterministic policy gradient network;

[0051] Generate deep deterministic policy gradient network input data s using LSTM network k ;

[0052] Set the actions and rewards of the deep deterministic policy gradient network, and get the set deep deterministic policy gradient network;

[0053] Input data s according to the deep deterministic policy gradient network k training the set deep deterministic policy gradient network to obtain the trained deep deterministic policy gradient network;

[0054] Multi-Maneuvering Target Tracking Using Trained Deep Deterministic Pol...

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Abstract

The invention belongs to the field of target tracking, and particularly relates to a multi-maneuvering target tracking method based on a depth deterministic strategy gradient DDPG. The method includes: establishing a depth deterministic strategy gradient network; generating deep deterministic strategy gradient network input data sk by using an LSTM network; setting actions and returns of the depthdeterministic strategy gradient network to obtain a set depth deterministic strategy gradient network; training the set depth deterministic strategy gradient network according to the depth deterministic strategy gradient network input data sk to obtain a trained depth deterministic strategy gradient network; and performing multi-maneuvering target tracking by using the trained depth deterministicstrategy gradient network. The method is reasonable in resource distribution and high in radar tracking precision, and the problems of no model and Markov decision are solved.

Description

technical field [0001] The invention belongs to the field of target tracking, and in particular relates to a multi-maneuvering target tracking method based on deep deterministic policy gradient DDPG. Background technique [0002] The main task of multi-maneuvering target tracking technology is to allocate enough radar resources to each maneuvering target to achieve the expected tracking accuracy under the condition of limited radar resources. In practical applications, limited by the total power of radar transmission and the number of targets to be tracked, it is necessary to allocate resources to each target reasonably. The traditional method of evenly allocating radar resources to each target will cause the problem of decreased tracking accuracy. At present, a lot of work has been devoted to using cognitive technology to allocate radar resources to improve target tracking accuracy. However, these methods either rely on the estimation of the motion model of the target, or ...

Claims

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Application Information

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IPC IPC(8): G06N3/04G06N3/08G01S13/66
CPCG06N3/08G01S13/66G06N3/045G06N3/044Y02D10/00
Inventor 纠博刘宏伟马佳佳时玉春夏双志
Owner XIDIAN UNIV
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