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Uniformly dense clutter sparse method aiming at finite set tracking filter

A tracking filter, clutter sparse technology, applied in the direction of impedance network, digital technology network, electrical components, etc., can solve the problems of heavy calculation load, false alarm, etc.

Active Publication Date: 2015-10-28
HANGZHOU DIANZI UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Dense clutter tends to cause two problems. First, it will generate a large number of false alarms. Second, when the random finite set multi-target tracking filter processes all the measurements including the dense clutter environment, it will face heavy calculations. load

Method used

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  • Uniformly dense clutter sparse method aiming at finite set tracking filter
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  • Uniformly dense clutter sparse method aiming at finite set tracking filter

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Embodiment Construction

[0077] The present invention will be further described below in conjunction with accompanying drawing.

[0078] The present invention proposes a uniform dense clutter sparse method for finite set tracking filters, and its specific implementation is as follows:

[0079] Step 1. System modeling;

[0080] Assume that the measurements generated by the target and clutter obey the following binomial mixture distribution:

[0081] f ( z k , i | X k ) = ( 1 - π k t ) f ( z k , i | X k ...

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Abstract

The present invention relates to a uniformly dense clutter sparse method aiming at a finite set tracking filter. In order to overcome the problem that in the traditional algorithms, computing time has exponential growth along with the growth of clutter density, the invention provides the method. The method is operated with the hypothesis testing theory as the norm, with the help of a mixed Gaussian-potential probability density filter and a mixed Gaussian-multi-Bernoulli filter. The hypothesis testing theory is used for verifying a clutter sparse process to overcome the problem that in the traditional algorithms, computing time has exponential growth along with the growth of clutter density. Then, computing efficiency is greatly improved.

Description

technical field [0001] The invention belongs to the field of multi-sensor multi-target tracking, and in particular relates to a uniform dense clutter sparse method aiming at a finite set tracking filter. Background technique [0002] Strong clutter strength will not only increase the number of false alarms and tracking errors, but also increase the computational load. When the multi-target tracking filter based on random finite sets processes all the measurements including clutter generation, its calculation speed will be greatly reduced. Dense clutter will lead to an exponential increase in computing time, so it is necessary for us to study a new algorithm to reduce computing complexity and computing time. This is also the realistic basis of the present invention's research. Dense clutter tends to cause two problems. First, it will generate a large number of false alarms. Second, when the random finite set multi-target tracking filter processes all the measurements includ...

Claims

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Application Information

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IPC IPC(8): H03H17/00
Inventor 刘伟峰崔海龙文成林于永生朱书军
Owner HANGZHOU DIANZI UNIV
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