本文主要研究的是基于散射体信息的无线定位算法。
The wireless location algorithm based on the scatter information is described in this paper.
本论文致力于无线蜂窝网络中基于时间测量值的无线定位算法研究。
This thesis aims at the research of wireless location algorithms based on time-related measurements in wireless Cellular Network.
该方法解决了在没有UW B信号发送、接收装置时对无线定位算法的仿真、测试和评估。
The proposed methods can realize the algorithm simulations for positioning, testing and evaluation of wireless location in the absence of the UWB sending and receiving device.
本论文的所有工作都是围绕着免疫算法在蜂窝网无线定位技术中的应用展开的。
In this paper, all of our work surrounds the applications of immune algorithm in cellular wireless location.
提出了一种基于信号到达角信息的无线传感器网络节点自身定位算法。
A location algorithm using Angle of arrival (AOA) information in wireless sensor networks is proposed.
其次，论文分析了当今主流的无线传感器网络定位算法的基本原理及其性能评价标准和分类方法。
Secondly, this thesis analyzes the current main wireless sensor network's basic principles of localization algorithm, and its performance evaluation standards and classification method.
本文主要对无线定位中基于TDOA的一种约束加权最小二乘算法进行了研究。
In this paper, we investigate the Constrained Weighted Least Squares (CWLS) algorithms for Time Difference of Arrival (TDOA) based mobile user location in wireless communication systems.
在基于时间的无线定位系统中，时间估计算法的精度和复杂度是衡量系统性能的关键因素。
In the Time-based Radio Location system, the precision and complexity of the time estimation algorithm are the key factors that affect the system performance.
本文提出了一种改进的免疫算法，对蜂窝网络无线定位估计中的非线性优化问题进行求解。
An improved immune algorithm is put forward and applied for nonlinear optimization in cellular wireless location.
本文研究无线传感器网络中的节点定位算法，对传统APIT算法进行了改进，得到一些有意义的结果。
In this paper, node localization algorithms in wireless sensor networks are researched, the traditional APIT algorithm is improved, and some meaningful results are obtained.
讨论了贯序蒙特卡罗方法在无线传感器网络节点定位算法中的实现，并针对再采样阶段的样本缺失现象，对基本算法进行了改进。
Discuss the Sequential Monte Carlo localization method for wireless sensor networks scheme and modify the basic algorithm to overcome the sample degeneracy problem in resampling stage.
实际地理环境会影响无线传感器网络定位算法的运行性能。
The actual geographical environment affects the performance a lot when executing a localization algorithm in wireless sensor networks.
我们详细阐述了蜂窝网络无线定位原理以及相关的无线定位基本方法，建立了定位算法的数学模型。
We give the theory and methods of cellular wireless location, and build the mathematical model of location.
将经典的画图算法应用到无线传感器网络节点定位问题是一个全新的思路。
Applying the classical graph drawing algorithms to node localization in wireless sensor networks is a novel idea.
由于室内无线传播环境的噪声随机性干扰比较大，在设计射频识别室内定位应用系统时，高精度定位算法的研究显得十分重要。
In the design of RFID indoor location system, due to the existence of serious random interference in indoor radio environment, it is very important to have location algorithms with high accuracy.
设计了一种蜂窝系统无线定位中使用的扩展卡尔曼滤波(ekf)算法，对其性能进行了仿真。
An extended Kalman filtering (EKF) algorithm is designed for radiolocation in cellular communication system, simulation is conducted to examine its performance.
针对无线传感器网络节点定位问题进行了研究，提出了一种新的节点定位算法，介绍了算法的基本原理和实现方法。
The paper researches positioning algorithms of wireless sensors network and proposes a new positioning algorithm. The basic principle and the implementing approaches of the algorithm are introduced.
仿真结果表明，本文的RSSI定位机制比传统的基于接收信号强度的无线传感器网络定位算法有更好的定位性能。
As shown in the simulation results, it can be stated that the approach is effective and obviously has good location accuracy than conventional RSSI algorithm.
为提高无线传感器网络(wsn)的节点定位的估计精度，提出基于自由搜索优化的智能估计定位算法。
This paper proposes a novel intelligent estimation algorithm in Wireless Sensor Network (WSN) nodes location based on Free Search (FS) to improve the precision in location estimation.
将仿真结果与传统算法进行比较，结果表明，改进算法可以大大提高无线传感器网络的定位精度和覆盖度。
And the result of simulation, which is compared to the traditional algorithm, indicated that this algorithm is better to improve the accuracy and coverage of WSN.
国内外对无线传感器网络的研究主要集中在MAC算法、路由算法、定位算法机数据融合算法上。
Currently, the research on wireless sensor network concentrates primarily in the protocol of MAC, routing algorithms and integration algorithms.
并对无线传感器网络中现有的节点定位算法进行分类总结以及对其性能进行综合分析。
The taxonomy and summarize for wireless sensor networks localization algorithms, the comprehensive analysis and evaluation of their performance are also described in the thesis.
算法在提高定位精度的同时最大限度地降低了对资源的使用，有效延长了无线传感器网络的工作寿命。
The algorithm reaches tracking accuracy requirements, minimizes the network resource utilization and prolongs the working life of wireless sensor networks.
提出了上述定位算法的一个应用：基于定位信息的能量高效无线传感器网络首节点选择的算法。
This dissertation proposes an application of the above localization algorithm: location aware energy efficient heard node selection algorithm in wireless sensor networks.
使用多维标度定位算法对无线传感器网络中的节点进行定位，并且根据不同的仿真参数给出定量的分析结果。
Multidimentional scaling map algorithm is employed to achieve node localization in wireless sensor networks, and quantitative analysis depends on different simulation parameters is provided.
为了测试定位算法性能及网络通信能力，该论文设计并实现了一种无线传感器网络定位系统原型。
To verify the performance of localization algorithm and network communication, this dissertation designs and implements a prototype of wireless sensor network localization system.
随着无线传感器网络的应用越来越广泛，实用性更强的定位算法将会得到更多的重视。
With the increasing application of wireless sensor network, the more practical localization will be get more attention.
为解决当前无线传感器网络在目标定位与跟踪等领域的安全问题，提出了一种建立在自动跟踪簇基础上的动态簇密钥更新算法MCDGR。
To enhancing the wireless sensor network's security in target tracking and locating application, a tracking cluster based mobile cluster distributed group rekeying protocol (MCDGR) was proposed.
仿真结果表明这种新方法比线性位置线算法和泰勒级数展开最小二乘位置估计算法性能优越，在一定程度上提高了无线定位的准确度。
Simulation results show that it provides quite well improvement of location accuracy than linear line of position algorithm and Taylor series location estimation algorithm.
SCDMA无线定位的智能天线圆-角定位技术中，DOA算法为其核心。
DOA estimation is very important in the circle-angle location based on smart antenna of TD-SCDMA.
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