【摘要】：隨著傳感器節(jié)點變得體積更小,成本更低并且更加智能化,無線傳感器網(wǎng)絡(luò)(WSN,Wireless Sensor Network)得到了更加廣泛的應(yīng)用,如遠(yuǎn)程環(huán)境監(jiān)控及目標(biāo)定位等。但同時由于節(jié)點可利用的通信資源都十分有限,對原始觀測數(shù)據(jù)進行傳輸代價就會較高。另一方面,環(huán)境背反射技術(shù)由于其不需要電源就能實現(xiàn)通信,也受到了廣泛關(guān)注。不過,一個關(guān)鍵問題是如何去判斷發(fā)送方是否反射了信號。本文研究了在無線傳感器網(wǎng)絡(luò)及環(huán)境背反射通信中的分布式信號檢測的現(xiàn)有算法,并在此基礎(chǔ)上提出了無線傳感器網(wǎng)絡(luò)中基于1比特量化的GLRT檢測算法,以及環(huán)境背反射通信中基于放大轉(zhuǎn)發(fā)中繼和本地LRT的分布式檢測算法。針對無線傳感器網(wǎng)絡(luò),本文根據(jù)其有限的帶寬及能量,提出了一種在傳感器節(jié)點處進行一比特量化的算法。每個傳感器節(jié)點將原始數(shù)據(jù)量化為一個二元數(shù)據(jù),再將該數(shù)據(jù)傳輸?shù)饺诤现行倪M行最終的全局判決。我們給出了GLRT檢測器以及最優(yōu)量化器的設(shè)計。并在理想和非理想信道兩種情況下,分析了檢測器的漸進性能。理論分析表明我們提出的基于1比特量化的GLRT算法,只需將傳感器數(shù)量增加為透視檢測器的?2倍,就能夠達到相同的檢測性能。最后通過MATLAB仿真,驗證了理論分析的結(jié)果,并闡明了提出算法的性能。針對環(huán)境背反射通信,本文對其需要解決的判斷發(fā)送方是否反射信號的問題,根據(jù)統(tǒng)計判決的思想,將其轉(zhuǎn)化為了一個二元假設(shè)判定問題。在此基礎(chǔ)上,提出了基于放大轉(zhuǎn)發(fā)中繼和本地LRT的兩種分布式檢測算法,并分析了檢測器的性能。通過MATLAB仿真,驗證了理論分析的結(jié)果,并可以看到通過增加接收端的數(shù)量,能夠提高檢測的性能。
[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.
【學(xué)位授予單位】：電子科技大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：TN929.5;TP212.9

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