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Passive target positioning method based on underwater acoustic sensor network
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A sensor network and acoustic sensor technology, applied in the field of passive positioning of underwater targets, can solve the problems of not being able to make full use of wireless sensor networks
Inactive Publication Date: 2013-01-23
NORTHWESTERN POLYTECHNICAL UNIV
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[0005] In order to overcome the deficiencies of existing technologies that cannot be applied to target positioning when targets do not cooperate, are suitable for target positioning in small-scale wireless sensor networks, and cannot make full use of all information in wireless sensor networks, the present invention provides a network based on underwater acoustic sensors. The passive positioning method of underwater targets improves the accuracy of passive positioning targets; in the environment with a small number of sensor nodes and low signal-to-noise ratio, the positioning robustness is good; the positioning device based on RSS wireless sensor network is simple to implement
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Embodiment 1
[0031] Since there is no energy value received by each sensor node in the simulation process, it is necessary to model the energy value received by the sensor node according to the signal attenuation model, but in the actual positioning, this process is unnecessary. Implementation example parameter setting: observation length L=5000, sensor node number N=10, Monte Carlo times N m =100, number of topological structures N t =100, signal-to-noise ratio SNR=5dB~30dB, observation noise variance σ 2 = 1, the product of signal radiation energy and sensor node gain The simulation implementation steps are as follows:
[0032] (1) N sensor nodes are evenly distributed in a given three-dimensional area, according to the formula Calculate the energy value of the target received by each sensor node, and obtain the energy matrix E=[y 1 ,y 2 ,...y N ];
[0033] (2) Select the node corresponding to the maximum energy value in the matrix E as the reference node 1, and jointly receive ...
Embodiment 2
[0048] Implementation example parameter setting: observation length L=5000, sensor node number N=5~20, Monte Carlo times N m =100, number of topological structures N t =100, SNR=5dB, observation noise variance σ 2 = 1, the product of signal radiation energy and sensor node gain The simulation implementation steps are as follows:
[0049] (1) N sensor nodes are evenly distributed in a given three-dimensional area, according to the formula Calculate the energy value of the target received by each sensor node, and obtain the energy matrix E=[y 1 ,y 2 ,...y N ];
[0050] (2) Select the node corresponding to the maximum energy value in the matrix E as the reference node l, and jointly receive the energy y of the target with the i-th sensor node i (i=2,3,...N, N is the number of sensor nodes) and reference node energy y l , cancel S, get | | r s - ...
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Abstract
The invention provides a passive target positioning method based on an underwateracoustic sensor network. The method comprises the following steps of: randomly arranging a plurality of acoustic sensor nodes to form a parallel network topology structure, namely the underwateracoustic sensor network together with a fusion center (FC); and acquiring target radiationnoise data by using each acoustic sensor node, solving energy of a target, which is received by the node, transmitting the solved energy to the FC for fusion processing by using the node, and positioning the target according to a relationship between energy decrement and the distance between the node and the target. By the method, passive target positioning accuracy is improved; positioning robustness in environment with a few sensor nodes and low signal to noise ratio (SNR) is high; and a positioning device based on a received signal strength (RSS) wireless sensor network (WSN) is easy to implement.
Description
technical field [0001] The invention relates to a passive positioning method for an underwater target, which relates to the fields of signalprocessing, applied mathematics and the like. Background technique [0002] The development of wireless sensor network technology (Wireless Sensor Networks, WSN) and micro-electro-mechanical technology (micro-electro-mechanical systems, MEMS) have greatly promoted the development of underwater wireless sensor network technology, and the problem of source and target positioning is not only Acoustic signal processing is an important research content, and it is an important application of underwater wireless sensor network. The wireless sensor network is a network formed by a large number of sensor nodes distributed in the monitored area through an ad hoc network. It has been widely used in environmental monitoring, health and sanitation, and disaster warning. As an important application of underwater wireless sensor network, sound source...
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