【摘要】：盲干擾對齊（Blind Interference Alignment，簡稱BIA）是一種改良于干擾對齊算法的基于MIMO技術(shù)下的干擾抑制算法，其將信道分為已壓縮的干擾子空間和干擾與期望信號混合的子空間，然后消除干擾對期望信號的影響。其抑制干擾的效果十分顯著，且應(yīng)用前提與干擾對齊算法相比也較為寬松，但算法本身沒有抗噪聲能力，魯棒性較差，從而在噪聲的干擾下不僅信號傳輸受影響，更使其發(fā)生干擾泄漏，導(dǎo)致抑制干擾的能力下降；同時在某些特定應(yīng)用環(huán)境，BIA仍有進一步提高單個用戶接收信號容量和抗深度衰落的潛力。本文先對信道噪聲對BIA算法的影響展開分析，并對其抗噪聲進行研究；然后擬提出一種基于BIA的改良算法，以提高某些系統(tǒng)下的用戶接收信號容量和抗深度衰落的能力。 首先，本文針對BIA算法的核心對齊塊受到信道噪聲的影響進行定量分析，給出對齊塊不同部分受到噪聲影響后自由度受到的損失。然后，針對該問題分別從對齊塊本身所具有的性質(zhì)及聯(lián)合其他抗噪聲技術(shù)信道編碼兩個角度提出兩種改良方案，并進行仿真。對比誤比特率，比較兩種方案的優(yōu)缺點。 其次，針對MIMO技術(shù)下的廣播信道（Broadcast Channel，簡稱BC），本文建立一種對BIA的改良算法，即對于發(fā)射端來說其可知若干接收端的信道狀態(tài)，這將使得運用該算法的其他接收端不再將干擾信號消除掉，而是獲取出來，將干擾信號當(dāng)成期望信號看待，從而增加了這部分接收端的信息量，提高了傳輸效率；并在MIMO技術(shù)的支持下該算法可使接收端降低信道的深度衰落引起的突發(fā)性錯誤和噪聲引起的隨機性錯誤。本文針對這一部分的研究給出發(fā)射端已知一個接收端信道狀態(tài)和已知兩個接收端信道狀態(tài)的兩種不同算法，比較了這兩種算法和傳統(tǒng)的BIA算法在MIMO BC信道下的誤比特率，，并同上一部分的仿真結(jié)果作對比。 綜上，本文對BIA算法的抗噪聲性進行分析并給出有效的抗噪聲方案，使其具有更實際的應(yīng)用，并對MIMO BC信道下的BIA算法進行改良，在進一步挖掘了其接收信號性能的同時使算法本身具有抗噪聲性。
[Abstract]:Blind interference alignment (Blind Interference Alignment, (BIA) is an improved interference suppression algorithm based on MIMO technology, which divides the channel into compressed interference subspace and interference and desired signal subspace. The influence of interference on the desired signal is then eliminated. The effect of suppressing interference is very significant, and the application premise is also relatively loose compared with the interference alignment algorithm, but the algorithm itself has no anti-noise ability and poor robustness, so not only the signal transmission is affected under the noise interference. Moreover, it causes interference leakage, which leads to the decrease of the ability to suppress interference. At the same time, in some specific application environments, BIA still has the potential to further improve the received signal capacity of a single user and resist deep fading. In this paper, the influence of channel noise on BIA algorithm is analyzed, and its anti-noise is studied, and then an improved algorithm based on BIA is proposed to improve the signal capacity and the ability to resist deep fading in some systems. Firstly, the core alignment block of BIA algorithm is quantitatively analyzed by channel noise, and the loss of degrees of freedom caused by noise in different parts of alignment block is given. Then, two improved schemes are proposed to solve the problem from two aspects: the property of the alignment block itself and the channel coding with other anti-noise techniques, and the simulation is carried out. Compare the bit error rate and compare the advantages and disadvantages of the two schemes. Secondly, for the broadcast channel (Broadcast Channel, under MIMO technology, this paper presents an improved algorithm for BIA, that is, for the transmitter, it can know the channel state of several receivers. This will make other receivers using the algorithm not to eliminate the interference signal, but to obtain the interference signal as a desired signal, thus increasing the amount of information in this part of the receiver, and improving the transmission efficiency; With the support of MIMO technology, the algorithm can reduce the sudden error caused by the deep fading of the channel and the random error caused by the noise. In this paper, two different algorithms of known channel state of one receiver and two known channel states of two receivers are given, and the bit-error rates of these two algorithms and the traditional BIA algorithm in MIMO BC channel are compared. The simulation results in the same part are compared. In summary, this paper analyzes the anti-noise performance of BIA algorithm and gives an effective anti-noise scheme, which makes it more practical, and improves the BIA algorithm in MIMO BC channel. The performance of the received signal is further excavated and the algorithm itself is anti-noise.
【學(xué)位授予單位】：哈爾濱工業(yè)大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：TN919.3

【參考文獻】

相關(guān)期刊論文 前3條

1 ;Review of wideband MIMO channel measurement and modeling for IMT-Advanced systems[J];Chinese Science Bulletin;2012年19期

2 景振海;白寶明;馬嘯;;頻率選擇性高斯干擾信道中的時頻聯(lián)合干擾對齊方案[J];通信學(xué)報;2011年09期

3 王存祥;邱玲;;協(xié)作多點傳輸中一種基于特征子信道的干擾對齊預(yù)編碼矩陣優(yōu)化方案[J];信號處理;2011年03期

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