本文選題：多輸入多輸出檢測 + 低復雜度檢測算法　； 參考：《南京林業(yè)大學》2016年碩士論文

【摘要】：無線通信的發(fā)展趨勢代表了人類對通信速率的渴求,從低速的2G網(wǎng)絡到如今高速的4G網(wǎng)絡,各種技術被提出以在有限的頻譜資源下獲得高數(shù)據(jù)傳輸速率。其中,多輸入多輸出(MIMO)技術被廣泛應用于最新的無線通信標準,并成為無線通信系統(tǒng)的關鍵技術之一。MIMO為系統(tǒng)提供分集增益和空分復用增益。MIMO技術主要靠增加收發(fā)天線的個數(shù)而非增加傳輸?shù)膸拋韺崿F(xiàn)復用,然而,多天線機制導致了信號處理復雜度的提高,因此對于MIMO系統(tǒng),MIMO符號檢測器的超大規(guī)模集成電路(VLSI)實現(xiàn)是接收機設計所面臨的主要挑戰(zhàn)。本文首先對MIMO系統(tǒng)中現(xiàn)有的幾種經(jīng)典的檢測算法進行了歸納總結,并針對各自存在的優(yōu)缺點進行了詳細分析。針對MIMO檢測算法實現(xiàn)復雜度高的問題,本文提出了一種分層結構低復雜度非線性檢測算法并給出了其架構設計。該算法采用分層處理方法,支持并行硬件電路實現(xiàn),有效提高了檢測效率。在建立系統(tǒng)仿真模型的基礎上,分析比較了串行干擾消除算法、球形譯碼和分層低復雜度算法的誤碼率性能及復雜度,同時實現(xiàn)算法的參數(shù)選擇,最終對算法的核心算子進行提取以及定量分析。仿真結果表明,提出的低復雜度MIMO檢測算法能以較低的運算復雜度,達到逼近最大似然譯碼算法的誤碼率性能,在性能和復雜度之間達到平衡。該算法為MIMO無線通信接收機的VLSI實現(xiàn)提供了理論基礎,可應用于多標準無線接收機系統(tǒng)。
[Abstract]:The development trend of wireless communication represents the human desire for the communication rate. From the low-speed 2G network to the high-speed 4G network, various technologies have been proposed to obtain high data transmission rate under the limited spectrum resources. Among them, multi-input and multi-output MIMO-technology is widely used in the latest wireless communication standards. MIMO is one of the key technologies of wireless communication system. MIMO provides diversity gain and space-division multiplexing gain. MIMO technology mainly realizes multiplexing by increasing the number of transceiver antennas rather than the bandwidth of transmission. The complexity of signal processing is increased due to the multi-antenna mechanism, so the implementation of VLSI-based VLSIs for MIMO system MIMO symbol detectors is a major challenge in receiver design. In this paper, several classical detection algorithms in MIMO systems are summarized, and their advantages and disadvantages are analyzed in detail. Aiming at the problem of high complexity of MIMO detection algorithm, this paper presents a hierarchical structure low complexity nonlinear detection algorithm and its architecture design. The algorithm uses hierarchical processing method to support the implementation of parallel hardware circuit and effectively improves the detection efficiency. Based on the system simulation model, the BER performance and complexity of serial interference cancellation algorithm, spherical decoding algorithm and layered low complexity algorithm are analyzed and compared, and the parameter selection of the algorithm is realized at the same time. Finally, the core operator of the algorithm is extracted and quantitatively analyzed. Simulation results show that the proposed low complexity MIMO detection algorithm can achieve the BER performance of approximate maximum likelihood decoding algorithm with low computational complexity and achieve a balance between performance and complexity. The algorithm provides a theoretical basis for VLSI implementation of MIMO wireless communication receivers and can be applied to multi-standard wireless receiver systems.
【學位授予單位】：南京林業(yè)大學
【學位級別】：碩士
【學位授予年份】：2016
【分類號】：TN919.3

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本文編號：1994738