基于MATLAB的MIMO系統預編碼性能仿真教程

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摘要在現今的移動通信系統中，被極多的國際通信標準采納為基礎性關鍵技術的一種方法是多輸入多輸出的技術(Multiple-Input Multiple-Output，MIMO)。無線傳輸的技術是應用多項發射以及多次接收天線來進行。應用MIMO技術的情形下，就算是系統帶寬和傳輸功率沒有增加，仍然是能夠顯著的增長無線信道容量，它的增長往往是成倍得，譬如4G LTE技術。通過使用MIMO信道而增加的空間復用增益可以改善傳輸效率，其帶來的空間分集增益也可以增加傳輸的可靠度。這兩種增益的提高分別可以通過改變收發天線數來實現。

提高通信質量是需要MIMO技術在接收端和發送端配置很多的天線，然后使信號經過多個接收和發送端。本篇主要探索的是空間復用MIMO系統的線性預編碼及信號檢測方法。在發射端通過對傳輸信號進行預編碼操作，不僅可以有效抑制干擾，還可以簡化接收機數據解調的計算復雜度。同時對線性信號檢測與預編碼技術方法進行了分別的詳細說明。想要驗明一下MIMO系統預編碼的性能，借助MATLAB這個軟件進行驗證確定仿真。結果表明，在其他的前提一樣的情形下，以最小均方誤差為基準的MMSE算法比簡單的線性檢測算法ZF算法，所得誤差更小，噪比的變大而減小導致系統傳輸得可靠程度會跟著變化。

關鍵詞：MIMO 信號檢測 預編碼 MATLAB

ABSTRACTIn mobile communication system, multi input multi output technology (Multiple-Output Multiple-Input, MIMO) is a technology that uses multiple transmit and multiple receive antennas for wireless transmission. MIMO technology can not increase the system bandwidth and transmission power, and exponentially improve the capacity of wireless channel, which has been adopted by many international communication standards as the basic key technologies, such as LTE 4G system. This technology can achieve the transmission efficiency and transmission reliability by changing the number of transmit and receive antennas, that is, the spatial multiplexing gain and the spatial diversity gain of MIMO channel are used to improve the transmission efficiency.MIMO technology need to configure multiple antennas at the receiver and transmitter, and then make the signal through a number of receiving and sending end, in order to improve the quality of communication. This paper mainly studies the spatial multiplexing MIMO system precoding and signal detection technology. At the transmitter, it can not only effectively suppress the interference, but also simplify the computation complexity of the receiver data demodulation. In this paper, the linear signal detection and pre coding technology are introduced and discussed in detail. In order to verify the performance of the MIMO system, the simula

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