連續(xù)相位調(diào)制系統(tǒng)接收機(jī)關(guān)鍵技術(shù)研究
[Abstract]:Continuous phase modulation (Continuous Phase Modulation,CPM) has the characteristics of continuous phase and constant envelope, its frequency spectrum is compact, frequency band efficiency is high, and the system can use high efficiency and low cost nonlinear power amplifier. The equipment cost and power consumption are greatly reduced. At the same time, CPM is a nonlinear modulation, the signal itself introduces memory, its modulation process can be equivalent to a coder and a linear modulator cascade, so it can be combined with channel coding technology to iteratively detect the signal. In the actual wireless communication system, CPM will introduce intersymbol interference (Inter Symbol Interference,ISI) in multipath fading channel. Low complexity frequency domain equalization technique is usually used to reduce the influence of inter-symbol crosstalk on the system. However, for multipath time-varying channels, the impulse response of discrete channel in a frame is variable, and the performance of the system using frequency domain equalization is poor. Therefore, this paper focuses on iterative equalization of CPM signals in time-varying channels. In this paper, the background and significance of the research are described, and the research status of continuous phase modulation and constant envelope orthogonal frequency division multiplexing (Constant Envelope Orthogonal Frequency Division Multiplexing,CE-OFDM) is analyzed. The main contents and structure of this paper are briefly summarized. In chapter 2, the CPM adaptive equalization algorithm based on Per-Survivor Processing,PSP is studied, and an adaptive tracking algorithm for fast time-varying channel is proposed. In this chapter, the modulation principle, phase state and channel model of CPM signal are introduced. Then, the CPM equalization algorithm in time-varying channel is studied, and the adaptive one by one survival equalization algorithm is adopted in combination with the characteristics of CPM signal itself. And compared with the traditional time domain equalization. Then the simulation results show that the performance of the successive equalization algorithm in time-varying channel is compared with that of the traditional time-domain equalization algorithm, and the performance of the two equalization algorithms is compared. In chapter 3, CPM adaptive iterative detection (Adaptive Iterative Detection,AID) algorithm in time-varying channel is studied. In this chapter, according to the demodulation characteristics of CPM signal, we study the adaptive one-survivor soft demodulation algorithm of CPM signal. Then adaptive iterative detection of continuous phase modulation is realized according to the existing iterative detection model. The simulation performance of single-path time-varying channel and multi-path time-varying channel is studied. Because the complexity of soft demodulation of CPM increases with the increase of the number of multipath, this paper further studies the low-complexity soft demodulation algorithm, and gives the complexity analysis and performance simulation of the algorithm. In chapter 4, the demodulation algorithm and performance of CE-OFDM in millimeter-wave channel are studied. In this chapter, the principle of modulation and demodulation of CE-OFDM is introduced, and the simulation performance of demodulation module with different parameters at the receiver of CE-OFDM under additive Gao Si white noise (Additive White Gaussian Noise,AWGN is given. Then the performance analysis of CE-OFDM in multipath channel is given. Finally, the performance of CE-OFDM in 802.11ad channel is simulated and analyzed. The fifth chapter summarizes the main contributions of this paper. The problems and difficulties faced by these two kinds of constant envelope modulation are briefly described, and further research suggestions are given.
【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】:2016
【分類號】:TN851
【相似文獻(xiàn)】
相關(guān)期刊論文 前10條
1 戴耀森;關(guān)于《雙平穩(wěn)時變信道的序列檢測》的評注[J];通信學(xué)報;1981年04期
2 李建芬,李農(nóng);時變信道通信中的多級蔡氏混沌同步[J];空軍工程大學(xué)學(xué)報(自然科學(xué)版);2001年03期
3 李育杉,戴憲華;小波建模在時變信道盲識別中的應(yīng)用[J];電路與系統(tǒng)學(xué)報;2002年02期
4 馬軍;時變信道中信號的準(zhǔn)確恢復(fù)[J];廣西物理;2002年04期
5 黨小川,吳佑壽,符劍;數(shù)字并行接收機(jī)在時變信道下的信道估計與均衡方法[J];電訊技術(shù);2005年02期
6 馬典軍;葛萬成;;基于統(tǒng)計自回歸模型的時變信道均衡[J];電子技術(shù);2010年12期
7 崔皓;葛萬成;;基于有限階最優(yōu)模型的時變信道均衡[J];電子技術(shù);2010年12期
8 楊正舉;劉洛琨;錢學(xué)鋒;孫有銘;;基于基展開模型的時變信道階數(shù)和徑數(shù)盲估計[J];信息工程大學(xué)學(xué)報;2012年03期
9 張帥;張曉林;;星地鏈路高速數(shù)傳系統(tǒng)快時變信道估計方法[J];遙測遙控;2013年06期
10 李道本;雙平穩(wěn)時變信道的序列檢測[J];通信學(xué)報;1981年01期
相關(guān)會議論文 前2條
1 李農(nóng);張智軍;李建芬;;時變信道時混沌通訊系統(tǒng)的同步[A];第九屆全國信號處理學(xué)術(shù)年會(CCSP-99)論文集[C];1999年
2 任術(shù)波;郭俊奇;項海格;;基于SFBC-OFDM系統(tǒng)的時變信道估計和信號檢測聯(lián)合算法[A];2009年通信理論與信號處理學(xué)術(shù)年會論文集[C];2009年
相關(guān)博士學(xué)位論文 前4條
1 李勇;快速時變信道下基于WFRFT和部分FFT的傳輸方法[D];哈爾濱工業(yè)大學(xué);2014年
2 劉翼;基于壓縮感知的OFDM系統(tǒng)快速時變信道估計[D];北京理工大學(xué);2015年
3 任大孟;快速時變信道下無線OFDM系統(tǒng)信道估計技術(shù)的研究[D];哈爾濱工程大學(xué);2009年
4 秦文;OFDM系統(tǒng)中子載波間干擾的產(chǎn)生因素及消除研究[D];電子科技大學(xué);2008年
相關(guān)碩士學(xué)位論文 前10條
1 黃曉;連續(xù)相位調(diào)制系統(tǒng)接收機(jī)關(guān)鍵技術(shù)研究[D];電子科技大學(xué);2016年
2 楊正舉;時變信道盲辨識算法研究[D];解放軍信息工程大學(xué);2012年
3 張士杰;超寬帶無線通信系統(tǒng)中時變信道估計方法研究[D];河南科技大學(xué);2014年
4 顧夏s,
本文編號:2357462
本文鏈接:http://sikaile.net/kejilunwen/xinxigongchenglunwen/2357462.html