本文選題：多輸入多輸出 + 壓縮感知��； 參考：《河南工業(yè)大學(xué)》2017年碩士論文

【摘要】：多輸入多輸出(MIMO)技術(shù)通過在基站端和用戶端配備多根天線,可以突破有限帶寬及發(fā)射功率的限制,實現(xiàn)對系統(tǒng)的吞吐量提高,進而達到有效改善系統(tǒng)頻譜利用率的效果。正交頻分復(fù)用(OFDM)是一種多載波調(diào)制復(fù)用技術(shù),其技術(shù)特點是每個子載波都是相互正交的,且循環(huán)前綴作為保護間隔,避免了不同子載波因重疊而產(chǎn)生的干擾。OFDM對于頻率選擇性衰落改善、系統(tǒng)頻譜利用率的提高都有極好的效果。因此MIMO與OFDM技術(shù)兩者相結(jié)合,不僅能夠成倍的提高系統(tǒng)吞吐量,同時降低誤碼率。為進一步提高系統(tǒng)的整體性能,可在發(fā)送端對發(fā)送的數(shù)據(jù)流進行預(yù)編碼處理。預(yù)編碼技術(shù)前提條件是:發(fā)送端已獲取完備的信道狀態(tài)信息,而反饋完整的信道狀態(tài)信息將占用反饋鏈路大量的頻帶資源,因此,如何利用少量的反饋數(shù)據(jù)而獲取與完整信道狀態(tài)信息近乎相同的效果是近幾年的研究熱點。本文將壓縮感知技術(shù)應(yīng)用到有限反饋預(yù)編碼系統(tǒng)中,并針對如何減少反饋數(shù)據(jù)量和提高重構(gòu)精度方面進行了研究,主要完成了以下工作:1.為減少鏈路反饋開銷,提出了基于壓縮感知的有限反饋預(yù)編碼算法,并利用Karhunen-Loève變換(KL變換)對估計所得的完整信道信息進行稀疏表示,仿真結(jié)果表明,在不損失信道特征信息的前提下,進一步減少了反饋數(shù)據(jù)量。2.針對傳統(tǒng)OMP算法缺陷,提出了基于兩次篩選和重構(gòu)加權(quán)最小二乘法的改進OMP算法,并與傳統(tǒng)OMP、ROMP算法進行仿真對比分析,驗證了改進算法的有效性。3.把壓縮感知應(yīng)用擴展到大規(guī)模MIMO系統(tǒng)有限反饋中,并對提出的聯(lián)合稀疏改進算法進行仿真分析,結(jié)果表明:聯(lián)合稀疏可選擇更加合適的觀測矩陣,有利于減少反饋鏈路的開銷。
[Abstract]:Multi input and multiple output (MIMO) technology is equipped with multiple antennas at the base station and the user side, which can break through the limited bandwidth and transmit power, so as to improve the throughput of the system and improve the efficiency of the system spectrum efficiency. Orthogonal frequency division multiplexing (OFDM) is a multi carrier modulation multiplexing technology. The subcarriers are mutually orthogonal, and the cyclic prefix is used as the protection interval to avoid the interference.OFDM caused by the overlapping of different subcarriers to improve the frequency selective fading and the enhancement of the frequency spectrum utilization of the system. Therefore, the combination of MIMO and OFDM technology can not only improve the system throughput, but also multiply the system throughput. To further improve the bit error rate. In order to further improve the overall performance of the system, the transmitted data stream can be precoded at the transmitter. Precoding is that the transmitter has acquired complete channel state information, and the feedback complete channel state information will take up a large number of band resources in the feedback link, thus how to use a small amount of information. Feedback data to obtain nearly the same effect as the complete channel state information is the hot spot in recent years. This paper applies compressed sensing technology to the finite feedback precoding system, and studies how to reduce the amount of feedback data and improve the accuracy of reconfiguration. The following work is completed: 1. to reduce link feedback The finite feedback precoding algorithm based on compressed sensing is proposed, and the Karhunen-Lo y ve transform (KL transform) is used to sparse representation of the estimated complete channel information. The simulation results show that, without losing the channel feature information, the feedback data amount.2. is further reduced to the defect of the traditional OMP algorithm. The two time screening and reconstructing the improved OMP algorithm with weighted least squares, and comparing with the traditional OMP and ROMP algorithm, the validity of the improved algorithm is verified..3. is extended to the finite feedback of large-scale MIMO system, and the proposed joint sparse improvement algorithm is simulated and analyzed. The results show that the joint sparse can be sparse. Choosing a more suitable observation matrix is helpful to reduce the cost of feedback link.
【學(xué)位授予單位】：河南工業(yè)大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TN919.3

【參考文獻】

相關(guān)期刊論文 前7條

1 康桂華;潘坤貝;;一種基于多重碼本的有限反饋預(yù)編碼算法[J];微處理機;2015年06期

2 張中山;王興;張成勇;呂少波;;大規(guī)模MIMO關(guān)鍵技術(shù)及應(yīng)用[J];中國科學(xué):信息科學(xué);2015年09期

3 魏超;劉智;王番;王剛;;壓縮感知理論及其在圖像融合中的應(yīng)用[J];測繪工程;2013年02期

4 耿p，

本文編號：2084936