Method for distributing sensors in collaborative detection

A distribution method and sensor technology, applied in instruments, special data processing applications, electrical and digital data processing, etc., can solve the problems of combination expansion and computational cost, and achieve the effect of reducing combination expansion, ensuring accuracy, and simplifying calculation volume.

Inactive Publication Date: 2014-11-19
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

[0004] Kalandros and Pao considered the sensor allocation problem from the direction of covariance control, and calculated the expected covariance matrix as the cost coefficient to control the allocation of sensors. This method of sensor dynamic allocat

Method used

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  • Method for distributing sensors in collaborative detection
  • Method for distributing sensors in collaborative detection
  • Method for distributing sensors in collaborative detection

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Embodiment

[0084] The allocation method proposed by the present invention does not consider the combination of sensors at first, and calculates the optimal solution of the allocation equation under the constraint conditions, which is composed of the new information entropy increments of all single sensors to all targets as parameters, and then through the optimal solution under the subordination A new sensor management model for a target's sensor group composed of sensors related to the same target.

[0085] like image 3 As shown, set the target set as T=[T 1 , T 2 ,...,T N ], the available single sensor set is S=[S 1 ,S 2 ,...,S M ], when M sensors are cooperatively detecting N targets, the steps to assign M sensors are as follows:

[0086] 1) At the current time k, predict the sensor S at time k+1 j to target T i The filter error covariance matrix of P k + 1 | k ...

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Abstract

The invention provides a method for distributing sensors in collaborative detection. Based on the optimal Kalman distributed filtering, a new information entropy incremental computation method and a global optimal distribution scheme are put forward, only the optimal solution of a distribution equation formed by new information entropy increments, serving as parameters, of all targets to all single sensors under the constraint condition is calculated, and sensors attaching to the same target under the optimal solution form a sensor group of the target. The new information entropy incremental computation method is put forward, so that the problem that a covariance matrix of a target under distributed fusion filterers is not just linearly summed through a sensor group formed by respective covariance matrixes of multiple single sensor filters and multiple single sensors is solved.

Description

technical field [0001] It involves multi-target multi-sensor management technology. Background technique [0002] In the tracking system, it is of great research significance to rationally and effectively allocate and manage multiple targets distributed on different platforms, different types, and different performances under many constraints. In practical applications, limited sensor resources require reasonable sensor management to meet the requirements for multiple targets and scanning spaces, obtain the optimal detection value of each feature, and then evaluate the optimal feature value. The core problem of sensor management is to allocate corresponding sensors for the target and set the working mode and parameters of the sensors according to certain optimal criteria. The rapid development of sensor technology, signal detection and processing technology has greatly promoted the progress of multi-sensor data fusion theory, and its technology has gradually been widely use...

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Application Information

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IPC IPC(8): G06F19/00
Inventor 解梅俞晓峰王东
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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