本文選題：全雙工中繼　切入點(diǎn)：多輸入多輸出　出處：《南京理工大學(xué)》2016年碩士論文

【摘要】：全雙工中繼系統(tǒng)能夠在相同頻率和時(shí)間內(nèi),同時(shí)發(fā)送和接收信號(hào),因此與半雙工中繼相比成倍提高頻譜效率。但是由于中繼收發(fā)端之間存在著信號(hào)泄漏,產(chǎn)生了自干擾問(wèn)題,自干擾使得中繼系統(tǒng)性能嚴(yán)重惡化,因此,實(shí)現(xiàn)全雙工技術(shù)的挑戰(zhàn)在于如何有效管理全雙工帶來(lái)的自干擾。本文主要圍繞譯碼轉(zhuǎn)發(fā)以及放大轉(zhuǎn)發(fā)協(xié)議下全雙工多輸入多輸出(Multiple-input multiple-output, MIMO)中繼系統(tǒng)展開(kāi),重點(diǎn)對(duì)波束成形抑制干擾算法以及檢測(cè)算法進(jìn)行了研究,主要研究工作如下：(一)針對(duì)譯碼轉(zhuǎn)發(fā)全雙工MIMO中繼系統(tǒng)干擾抑制問(wèn)題,為了更好地抑制干擾提高性能,提出了一種迭代波束成形結(jié)構(gòu)(Iterative beamforming structure, IBS),該算法在中繼站采用基于最大化信干噪比(Maximizing signal-to-interference-and-noise ratio, Max-SINR)接收波束成形來(lái)抑制中繼端的自干擾以及最大化信泄噪比(Maximizing signal-to-leakage-plus-noise ratio, Max-SLNR)發(fā)射波束成形來(lái)減少中繼發(fā)送端泄漏到中繼接收端的信號(hào)。隨后,針對(duì)抑制后存在的殘余干擾,提出了一種低復(fù)雜度的基于白化濾波的最大似然檢測(cè)器。仿真結(jié)果表明,提出的IBS算法性能明顯優(yōu)于現(xiàn)有的算法,而且提出的低復(fù)雜度檢測(cè)器與傳統(tǒng)最大似然檢測(cè)器相比,顯著的降低了復(fù)雜度,并提高了系統(tǒng)的誤碼性能。(二)針對(duì)放大轉(zhuǎn)發(fā)的全雙工MIMO中繼系統(tǒng),為了進(jìn)一步提高系統(tǒng)信息傳輸速率,提出了一種高性能的組合波束成形方案,該組合在源節(jié)點(diǎn)和目的節(jié)點(diǎn)采用奇異值分解(Singular value decomposition, SVD)的波束成形,而在中繼站采用基于Max-SINR接收加Max-SLNR發(fā)射組合波束成形算法。隨后在兩者之間引入迭代結(jié)構(gòu),進(jìn)一步優(yōu)化波束成形矩陣。仿真結(jié)果表明,所提出的組合算法速率性能優(yōu)于現(xiàn)有的波束成形組合。
[Abstract]:Full-duplex relay system can transmit and receive signals simultaneously at the same frequency and time, so the spectral efficiency is greatly improved compared with half-duplex relay. Self-interference seriously degrades the performance of the relay system, so, The challenge of full duplex technology is how to effectively manage the self interference brought by full duplex. This paper focuses on the full duplex multiple input multiple-output (MIMOO) relay system under the full duplex multiple input multiple-output (MIMOO) relay protocol. Beamforming interference suppression algorithm and detection algorithm are studied in detail. The main research work is as follows: (1) aiming at the interference suppression problem of decoding and forwarding full-duplex MIMO relay system, in order to better suppress interference and improve performance, In this paper, an iterative beamforming structure called iterative beamforming structureis proposed. The algorithm uses the received beamforming based on maximizing the signal-to-noise ratio (Max-SLNR) to suppress self-interference and Max-SLNR (Max-SLNR) transmission at the relay end in order to suppress self-interference and maximize the signal-to-noise ratio to maximize signal-to-leakage-plus-noise ratio (Max-SLNR). Beamforming to reduce the signal leakage from the relay sender to the relay receiver. A low complexity maximum likelihood detector based on whitening filter is proposed for residual interference suppression. Simulation results show that the proposed IBS algorithm performs better than the existing algorithms. Moreover, compared with the traditional maximum likelihood detector, the proposed low complexity detector significantly reduces the complexity and improves the error performance of the system. (2) Full-duplex MIMO relay system for amplification and forwarding. In order to further improve the information transmission rate of the system, a high performance combined beamforming scheme is proposed, in which singular value decomposition (SVD) beamforming is used in the source node and the destination node. In the relay station, the combined beamforming algorithm based on Max-SINR receiver and Max-SLNR is adopted. Then an iterative structure is introduced between the two to further optimize the beamforming matrix. The simulation results show that, The rate performance of the proposed combination algorithm is better than that of the existing beamforming combination.
【學(xué)位授予單位】：南京理工大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2016
【分類號(hào)】：TN919.3
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本文編號(hào)：1678754