Multi-platform target distribution and sensor selection method based on multiple bidding
A target allocation, sensor technology, applied in the field of information fusion research, can solve the problems of overbid, high price, low bid and so on
Inactive Publication Date: 2017-02-22
NAVAL AVIATION UNIV
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If other buyers bid more for the remaining quantity of the item, the bid will be exceeded
Items may be won by other buyers if the highest bid for the remaining available quantity of the item is lower
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[0084] Below in conjunction with accompanying drawing, describe technical solution of the present invention in detail, with reference to accompanying drawing figure 1 , concrete steps of the present invention include:
[0085] 1. The multi-platform target distribution and sensor selection method based on multi-quantity bidding is characterized in that it comprises the following technical steps:
[0086] Step (1), construct target distribution and sensor selection framework with multi-Agent structure, set up task distribution Agent on command platform, set up sensor management Agent on each member platform;
[0087] Step (2), the task distribution Agent on the command platform broadcasts to each member platform in real time, collects the status information of the sensor, and monitors whether the communication link is normal;
[0088] Step (3), after each sensor management agent receives the broadcast signal, it sends the coordinates of the platform, sensor status, sensor detec...
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The invention belongs to the field of information fusion research, and is applicable to solving the problem of target distribution and sensor selection in multi-platform cooperative detection tracking. A multi-platform target distribution and sensor selection method based on multiple bidding is provided for converting a problem of matching targets and sensors in multi-platform multi-sensor cooperative detection tracking into a multiple bidding problem in economics; detection tracking tasks are used as buyers, sensors are used as sellers, and thus real-time target distribution and selection is achieved by using a basic principle of multiple binding, distribution matrixes of the targets and the sensors are acquired, and the sensors are controlled to complete target detection and tracking. According to the method provided by the invention, resource distribution is completed in a bidding manner, and computation complexity in multi-target distribution is reduced; the tasks with high priorities self-adaptively holds resources at first by setting the highest prices of the tasks, the performance is steady and the transportability is strong.
Description
technical field [0001] The invention belongs to the field of information fusion research and is suitable for solving the problems of target allocation and sensor management in multi-platform multi-sensor cooperative detection and tracking. Background technique [0002] With the development of technologies such as sensors, communications, and UAVs, conditions have been provided for sensor network detection and tracking on multiple platforms, such as UAV cluster networking. As the number of platforms increases, the number of sensors increases, and the number of targets increases, which is far beyond the level of human command and control, it is necessary to use computers to assist decision-making in target allocation and sensor selection. Therefore, research platforms, sensors, and target intelligent allocation and selection methods have the potential important meaning. [0003] The sensor management method of applying market theory is one of the research directions of multi-...
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IPC IPC(8): H04W28/08H04W84/18
Inventor 吴巍王国宏于洪波谭顺成
Owner NAVAL AVIATION UNIV