分布式信号检测在无线传感网络及环境背反射中的研究

发布时间：2019-02-21 15:29

【摘要】：随着传感器节点变得体积更小,成本更低并且更加智能化,无线传感器网络(WSN,Wireless Sensor Network)得到了更加广泛的应用,如远程环境监控及目标定位等。但同时由于节点可利用的通信资源都十分有限,对原始观测数据进行传输代价就会较高。另一方面,环境背反射技术由于其不需要电源就能实现通信,也受到了广泛关注。不过,一个关键问题是如何去判断发送方是否反射了信号。本文研究了在无线传感器网络及环境背反射通信中的分布式信号检测的现有算法,并在此基础上提出了无线传感器网络中基于1比特量化的GLRT检测算法,以及环境背反射通信中基于放大转发中继和本地LRT的分布式检测算法。针对无线传感器网络,本文根据其有限的带宽及能量,提出了一种在传感器节点处进行一比特量化的算法。每个传感器节点将原始数据量化为一个二元数据,再将该数据传输到融合中心进行最终的全局判决。我们给出了GLRT检测器以及最优量化器的设计。并在理想和非理想信道两种情况下,分析了检测器的渐进性能。理论分析表明我们提出的基于1比特量化的GLRT算法,只需将传感器数量增加为透视检测器的?2倍,就能够达到相同的检测性能。最后通过MATLAB仿真,验证了理论分析的结果,并阐明了提出算法的性能。针对环境背反射通信,本文对其需要解决的判断发送方是否反射信号的问题,根据统计判决的思想,将其转化为了一个二元假设判定问题。在此基础上,提出了基于放大转发中继和本地LRT的两种分布式检测算法,并分析了检测器的性能。通过MATLAB仿真,验证了理论分析的结果,并可以看到通过增加接收端的数量,能够提高检测的性能。
[Abstract]:As the sensor nodes become smaller, less costly and more intelligent, the wireless sensor network (WSN, Wireless Sensor Network) has been widely used, such as remote environment monitoring and target positioning. but at the same time, because the communication resources available to the nodes are very limited, the transmission cost of the original observation data is high. On the other hand, the environmental back-reflection technology is widely concerned because it does not need the power supply to realize the communication. A key question, however, is how to determine if the sender has reflected the signal. This paper studies the existing algorithm of the distributed signal detection in the wireless sensor network and the environment back-reflection communication, and then puts forward the GLRT detection algorithm based on 1-bit quantization in the wireless sensor network. and a distributed detection algorithm based on the amplification forwarding relay and the local LRT in the environment back reflection communication. In the light of the limited bandwidth and energy of the wireless sensor network, a bit-quantization algorithm is proposed at the sensor node. Each sensor node quantizes the raw data into a binary data, and then transfers the data to the fusion center for final global decision. We present the GLRT detector and the optimal quantizer design. and in both ideal and non-ideal channels, the progressive energy of the detector is analyzed. The theoretical analysis shows that we propose a GLRT algorithm based on 1-bit quantization, which only needs to increase the number of sensors to the perspective detector. and the same detection performance can be achieved. Finally, through the MATLAB simulation, the result of the theoretical analysis is verified, and the performance of the proposed algorithm is clarified. In view of the communication of the back-reflection of the environment, this paper, based on the thought of the statistical decision, converts it into a binary-hypothesis decision problem. On this basis, two distributed detection algorithms based on the amplification and forward relay and the local LRT are put forward, and the performance of the detector is analyzed. Through the MATLAB simulation, the result of the theoretical analysis is verified, and the performance of the detection can be improved by increasing the number of the receiving end.
【学位授予单位】：电子科技大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN929.5;TP212.9

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