基于射线跟踪和USRP的室内场强分布的研究
发布时间：2019-05-16 22:03
【摘要】：在微小区及微微小区模型中,不同小区间已不再存在统计相似性,例如室内场景。这种情况下使用统计模型或经验模型等传统方法对场强等电波传播特性进行预测会产生比较大的误差,所以有必要对特定室内场景中电波传播特性进行测量与仿真,为信道建模和网络规划提供依据。本文设计并实现了一种基于软件无线电的无线信号强度实时测量平台,并针对某室内具体场景进行了场强测量。论文进一步利用射线跟踪算法对同一场景下的场强分布进行了仿真。最后,对实测和仿真数据进行了比对分析,印证了该测量系统应用在实际环境之中的可行性。本测量系统以功率谱计算为核心,在信号接收端利用频域功率谱滤除带外噪声,利用滑动平均窗口滤除快衰落,提高了测量精度;采用自动增益控制,增加了测量的距离;系统选用软件无线电进行相关的信号处理,具有成本低,灵活性、扩展性和可移植性高的特点。
[Abstract]:In the micro-cell model and the micro-cell model, there is no longer statistical similarity between different cells, such as indoor scenes. In this case, the traditional methods such as statistical model or empirical model will produce large errors in predicting the propagation characteristics of radio waves such as field strength, so it is necessary to measure and simulate the propagation characteristics of radio waves in specific indoor scenes. It provides the basis for channel modeling and network planning. In this paper, a real-time measurement platform of wireless signal strength based on software radio is designed and implemented, and the field strength measurement is carried out for a specific indoor scene. In this paper, the ray tracking algorithm is used to simulate the field intensity distribution in the same scene. Finally, the measured and simulation data are compared and analyzed, which confirms the feasibility of the measurement system in the actual environment. The measurement system takes the power spectrum calculation as the core, uses the frequency domain power spectrum to filter out-of-band noise at the signal receiving end, uses the sliding average window to filter out the fast fading, improves the measurement accuracy, adopts the automatic gain control, increases the measurement distance. The system selects software radio for signal processing, which has the characteristics of low cost, flexibility, expansibility and portability.
【学位授予单位】：天津大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN92
本文编号：2478584
[Abstract]:In the micro-cell model and the micro-cell model, there is no longer statistical similarity between different cells, such as indoor scenes. In this case, the traditional methods such as statistical model or empirical model will produce large errors in predicting the propagation characteristics of radio waves such as field strength, so it is necessary to measure and simulate the propagation characteristics of radio waves in specific indoor scenes. It provides the basis for channel modeling and network planning. In this paper, a real-time measurement platform of wireless signal strength based on software radio is designed and implemented, and the field strength measurement is carried out for a specific indoor scene. In this paper, the ray tracking algorithm is used to simulate the field intensity distribution in the same scene. Finally, the measured and simulation data are compared and analyzed, which confirms the feasibility of the measurement system in the actual environment. The measurement system takes the power spectrum calculation as the core, uses the frequency domain power spectrum to filter out-of-band noise at the signal receiving end, uses the sliding average window to filter out the fast fading, improves the measurement accuracy, adopts the automatic gain control, increases the measurement distance. The system selects software radio for signal processing, which has the characteristics of low cost, flexibility, expansibility and portability.
【学位授予单位】：天津大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN92
【参考文献】
相关期刊论文 前3条
1 武博强;杨晋生;刘敬浩;李中品;;基于USRP平台的无线信道测量设计与实现[J];电子测量技术;2014年02期
2 杨晋生;胡自胜;陈为刚;;射线跟踪中三维矢量数据库建立方法[J];电信科学;2012年02期
3 周力,毛钧杰,柴舜连;基于三维射线跟踪的城市微小区电波传播预测算法[J];电子学报;2002年03期
，本文编号：2478584
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