Description: 传感器网络的粒子群优化定位算法，有多篇经典文献，并有仿真实例。-Sensor network of particle swarm optimization localization algorithm, have more than paper classical literature, and a simulation example. Platform: |
Size: 1011712 |
Author:张大热 |
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Description: 文章针对低信噪比下的水下目标定位问题，建立了水下无线传感器阵列网络，该结构包括多个分布式声传感器阵列，它适应于多模态信号处理，既可以利用目标的方位信息，又可以用能量信息。文中提出了用每个阵列接收到的信号能量作为参量完成目标定位并推导了基于能量的最大似然比目标定位方法。数值仿真表明：基于该结构的能量似然函数定位方法，可以有效估计目标的位置。并且比单阵元网络的定位性能和信息传输率上有了较大的提高， 尤其是在低信噪比下情况下，可以大大减小估计的方差。-With novel underwater wireless sensor array network (UWSAN) architecture that consists of multiple distributed arrays of acoustic sensors, maximum likelihood localization based on acoustic energy is proposed for solving the source localization in underwater and low signal to noise ratio. The exactly maximum likelihood (ML) target location estimator is derived. Very impressive simulation results demonstrated the feasibility of such a new approach for underwater wireless sensor network (UWSN). And comparison with the single sensor UWSN, the performance of localization is improved, especially in low SNR. Platform: |
Size: 265216 |
Author:于文娟 |
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Description: 这是用MATLAB仿真平台，实实现无线传感器网络定位算法仿真。
-This is the real implementation of the wireless sensor network localization algorithm simulation using MATLAB simulation platform. Platform: |
Size: 206848 |
Author:谨防 |
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Description: 此代码是关于传感器网络定位的 里面包含的代码很全 可供定位学习者参考学习 非常实用-This code is a very practical reference to learn about sensor network positioning which contains the code is all available positioning learners Platform: |
Size: 6719488 |
Author:段本亮 |
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Description: Is RSSI a Good Choice for Localization in Wireless Sensor Network,介绍RSSI对定位的影响。-Is RSSI a Good Choice for Localization in Wireless Sensor Network, introduced RSSI positioning. Platform: |
Size: 10591232 |
Author:zmq |
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Description: Monitoring applications define an important
class of applications used in wireless sensor networks.
In these applications the network perceives
the environment and searches for event
occurrences (phenomena) by sensing different
physical properties, such as temperature, humidity,
pressure, ambient light, movement, and presence
(for target tracking). In such cases the
location information of both phenomena and
nodes is usually required for tracking and correlation
purposes. In this work we summarize most
of the concepts related to localization systems for
WSNs as well as how to localize the nodes in
these networks (which allows the localization of
phenomena). By dividing the localization systems
into three distinct components — distance/angle
estimation, position computation, and localization
algorithm — besides providing a didactic
viewpoint, we show that these components can
be seen as subareas of the localization problem
that need to be analyzed and studied separately. Platform: |
Size: 134144 |
Author:ginanjar |
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Description: 多种matlab用于定位方法的总结，并且将其实现，都是真正能够实现的代码。-Variety matlab for positioning method summary, and its implementation, are really able to achieve code. Platform: |
Size: 8192 |
Author:王光辉 |
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Description: 用matlab实现了所有的无线传感器网络的定位系统-Using matlab to achieve all of the wireless sensor network positioning system Platform: |
Size: 8994816 |
Author:mazhenguo |
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Description: 一种无需测距的无线传感网络定位算法，结合了质心算法和HOP两种算法的优点-A no-ranging wireless sensor network localization algorithm that combines the centroid algorithm and the advantages of the two algorithms HOP Platform: |
Size: 7168 |
Author:萧秦首 |
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