物理層網(wǎng)絡(luò)編碼中連續(xù)相位調(diào)制信號(hào)檢測性能的研究
發(fā)布時(shí)間:2018-12-27 18:29
【摘要】:近幾年,無線通信由于其適應(yīng)性強(qiáng),組網(wǎng)快,覆蓋范圍廣等諸多優(yōu)點(diǎn)使得其發(fā)展迅猛。伴隨著物理層網(wǎng)絡(luò)編碼(Physical-Layer Network Coding)這一新概念的提出,無線通信在吞吐量上實(shí)現(xiàn)了巨大突破。但BPSK,QPSK,QAM等線性調(diào)制方式仍是物理層網(wǎng)絡(luò)編碼研究的主流。而無線通信信道衰減大,伴隨著現(xiàn)階段對(duì)速率越來越快的需求,線性調(diào)制方式已經(jīng)滿足不了無線通信對(duì)功率利用率和頻譜利用率的要求。連續(xù)相位調(diào)制(Continuous Phase Modulation)方式作為一種功率利用率和頻譜利用率高的調(diào)制方式,成為物理層網(wǎng)絡(luò)編碼理論中研究的一個(gè)熱點(diǎn)。論文首先研究了物理層網(wǎng)絡(luò)編碼中CPM信號(hào)(CPM-PNC)的相干檢測,并對(duì)兩種特殊的CPM信號(hào)給出仿真結(jié)果和分析。但相干檢測過程中涉及到復(fù)雜的相位同步,而且同步誤差會(huì)大大影響檢測的性能和穩(wěn)定性。針對(duì)上述這一問題,在論文中設(shè)計(jì)了一種CPM-PNC非相干多符號(hào)檢測算法,一方面可以有效消除相位偏移對(duì)檢測性能的影響,另一方面,充分利用連續(xù)相位調(diào)制相位記憶的特點(diǎn),使得檢測性能接近CPM-PNC相干檢測性能。但非相干多符號(hào)檢測算法每次觀察多個(gè)碼元只能檢測出一個(gè)碼元,檢測較慢,針對(duì)這一問題,又提出了CPM-PNC非相干塊檢測算法,能夠每次觀察多個(gè)碼元同時(shí)檢測出多個(gè)碼元,檢測速率提高了。同時(shí),針對(duì)塊檢測復(fù)雜度和檢測性能的問題,又提出了低復(fù)雜度CPM-PNC非相干塊檢測和改進(jìn)的CPM-PNC非相干塊檢測。本文提出的低復(fù)雜度CPM-PNC非相干塊檢測結(jié)構(gòu)有效降低了接收端的復(fù)雜度,而改進(jìn)的CPM-PNC非相干塊檢測不僅可以有效降低接收端的復(fù)雜度還能有效提高非相干塊檢測的檢測性能。
[Abstract]:In recent years, wireless communication has developed rapidly because of its strong adaptability, fast networking and wide coverage. With the development of the new concept of physical layer network coding (Physical-Layer Network Coding), wireless communication has achieved a great breakthrough in throughput. However, linear modulation, such as BPSK,QPSK,QAM, is still the mainstream of physical layer network coding. However, the wireless communication channel has a large attenuation. With the increasing demand for the rate at the present stage, the linear modulation can not meet the requirements of wireless communication for power efficiency and spectrum efficiency. As a kind of modulation mode with high power efficiency and spectrum efficiency, continuous phase modulation (Continuous Phase Modulation) has become a hot topic in the field of physical layer network coding theory. Firstly, the coherent detection of CPM signal (CPM-PNC) in physical layer network coding is studied, and the simulation results and analysis of two special CPM signals are given. However, the coherent detection involves complex phase synchronization, and the synchronization error will greatly affect the performance and stability of the detection. In order to solve the above problem, a CPM-PNC incoherent multi-symbol detection algorithm is designed in this paper. On the one hand, the influence of phase offset on detection performance can be effectively eliminated, and on the other hand, the characteristics of continuous phase modulation phase memory can be fully utilized. The detection performance is close to that of CPM-PNC coherent detection. But the incoherent multi-symbol detection algorithm can detect only one symbol at a time, so the detection is slow. In order to solve this problem, a CPM-PNC incoherent block detection algorithm is proposed, which can detect multiple symbols at the same time. The detection rate has been improved. At the same time, low complexity CPM-PNC incoherent block detection and improved CPM-PNC incoherent block detection are proposed to solve the problem of block detection complexity and detection performance. The low complexity CPM-PNC incoherent block detection structure proposed in this paper effectively reduces the complexity of the receiver. The improved CPM-PNC incoherent block detection can not only effectively reduce the complexity of the receiver, but also improve the detection performance of the incoherent block detection.
【學(xué)位授予單位】:南京航空航天大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2016
【分類號(hào)】:TN911.23
本文編號(hào):2393440
[Abstract]:In recent years, wireless communication has developed rapidly because of its strong adaptability, fast networking and wide coverage. With the development of the new concept of physical layer network coding (Physical-Layer Network Coding), wireless communication has achieved a great breakthrough in throughput. However, linear modulation, such as BPSK,QPSK,QAM, is still the mainstream of physical layer network coding. However, the wireless communication channel has a large attenuation. With the increasing demand for the rate at the present stage, the linear modulation can not meet the requirements of wireless communication for power efficiency and spectrum efficiency. As a kind of modulation mode with high power efficiency and spectrum efficiency, continuous phase modulation (Continuous Phase Modulation) has become a hot topic in the field of physical layer network coding theory. Firstly, the coherent detection of CPM signal (CPM-PNC) in physical layer network coding is studied, and the simulation results and analysis of two special CPM signals are given. However, the coherent detection involves complex phase synchronization, and the synchronization error will greatly affect the performance and stability of the detection. In order to solve the above problem, a CPM-PNC incoherent multi-symbol detection algorithm is designed in this paper. On the one hand, the influence of phase offset on detection performance can be effectively eliminated, and on the other hand, the characteristics of continuous phase modulation phase memory can be fully utilized. The detection performance is close to that of CPM-PNC coherent detection. But the incoherent multi-symbol detection algorithm can detect only one symbol at a time, so the detection is slow. In order to solve this problem, a CPM-PNC incoherent block detection algorithm is proposed, which can detect multiple symbols at the same time. The detection rate has been improved. At the same time, low complexity CPM-PNC incoherent block detection and improved CPM-PNC incoherent block detection are proposed to solve the problem of block detection complexity and detection performance. The low complexity CPM-PNC incoherent block detection structure proposed in this paper effectively reduces the complexity of the receiver. The improved CPM-PNC incoherent block detection can not only effectively reduce the complexity of the receiver, but also improve the detection performance of the incoherent block detection.
【學(xué)位授予單位】:南京航空航天大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2016
【分類號(hào)】:TN911.23
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