基于MATLAB的MIMO系統(tǒng)預(yù)編碼性能仿真教程

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摘要在現(xiàn)今的移動(dòng)通信系統(tǒng)中，被極多的國(guó)際通信標(biāo)準(zhǔn)采納為基礎(chǔ)性關(guān)鍵技術(shù)的一種方法是多輸入多輸出的技術(shù)(Multiple-Input Multiple-Output，MIMO)。無(wú)線傳輸?shù)募夹g(shù)是應(yīng)用多項(xiàng)發(fā)射以及多次接收天線來(lái)進(jìn)行。應(yīng)用MIMO技術(shù)的情形下，就算是系統(tǒng)帶寬和傳輸功率沒(méi)有增加，仍然是能夠顯著的增長(zhǎng)無(wú)線信道容量，它的增長(zhǎng)往往是成倍得，譬如4G LTE技術(shù)。通過(guò)使用MIMO信道而增加的空間復(fù)用增益可以改善傳輸效率，其帶來(lái)的空間分集增益也可以增加傳輸?shù)目煽慷取＿@兩種增益的提高分別可以通過(guò)改變收發(fā)天線數(shù)來(lái)實(shí)現(xiàn)。

提高通信質(zhì)量是需要MIMO技術(shù)在接收端和發(fā)送端配置很多的天線，然后使信號(hào)經(jīng)過(guò)多個(gè)接收和發(fā)送端。本篇主要探索的是空間復(fù)用MIMO系統(tǒng)的線性預(yù)編碼及信號(hào)檢測(cè)方法。在發(fā)射端通過(guò)對(duì)傳輸信號(hào)進(jìn)行預(yù)編碼操作，不僅可以有效抑制干擾，還可以簡(jiǎn)化接收機(jī)數(shù)據(jù)解調(diào)的計(jì)算復(fù)雜度。同時(shí)對(duì)線性信號(hào)檢測(cè)與預(yù)編碼技術(shù)方法進(jìn)行了分別的詳細(xì)說(shuō)明。想要驗(yàn)明一下MIMO系統(tǒng)預(yù)編碼的性能，借助MATLAB這個(gè)軟件進(jìn)行驗(yàn)證確定仿真。結(jié)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(zhǔn)的MMSE算法比簡(jiǎn)單的線性檢測(cè)算法ZF算法，所得誤差更小，噪比的變大而減小導(dǎo)致系統(tǒng)傳輸?shù)每煽砍潭葧?huì)跟著變化。

關(guān)鍵詞：MIMO 信號(hào)檢測(cè) 預(yù)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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