透過您的圖書館登入
IP:3.145.134.163
  • 學位論文

線性最小均方差LTE 上行通道估計之數位訊號處理器實現

Digital Signal Processor Implementation of LMMSE Channel Estimation for LTE Uplink

指導教授 : 林大衛

摘要


在LTE標準中,上行傳輸系統使用單載波分頻多工存取(SC-FDMA)技術, 它可以降低峰均值比(PAPR)進而節省用戶端的能量消耗。本論文主要重點在 LTE的上行通道估計,並把通道估計的部分實現於數位訊號處理器(DSP)上。 在通道估計中,我們首先使用最小平方差(LS)估計器,然後在頻率域使用 線性最小均方根誤差(LMMSE)濾波器來估計通道頻域響應。在使用LMMSE方 法之前,我們會先進一步利用通道延遲參數來估計其通道頻域響應相關性矩陣。 實現於DSP中,我們首先利用Matlab Coder工具箱把Matlab的程式轉換為C / C ++的程式。其次,在Microsoft Visual Studio中使用轉換後的C ++程式來驗證結 果是否正確。由於在Microsoft Visual Studio中測試並不是我們的主要工作,所以 我們省略除了多線程處理的其他優化方法。最後,我們使用轉換後的C程式碼在 DSP儀器上執行。但在使用DSP前,我們需要用Code Composer Studio(CCS)來 建製我們的專案。在本文中,我們將介紹CCS及DSP的操作環境與加快其運算的 數個方法。

並列摘要


In the LTE standard, uplink system uses single carrier frequency division multiple access (SC-FDMA) technique, it can reduce the power consumption of user equipment (UE) by lowering the peak-to-average power ratio (PAPR) of transmission signal. This thesis mainly focuses on LTE uplink channel estimation and digital signal processor (DSP) implementation for channel estimation part. In the channel estimation, we first use the least square (LS) estimator, and then use the linear minimum-mean square error (LMMSE) filter to estimate the channel frequency response (CFR) in the frequency domain (FD). Before using LMMSE method, we further estimate the CFR correlation matrix via channel delay parameters. In DSP implementation, we first use Matlab Coder Toolbox to convert Matlab function files to C/C++ code. Second, using converted C++ code to check the result on a PC via the Microsoft Visual Studio. Since debugging on the Microsoft Visual Studio is not our mainly work, we omit any optimization method except multi-thread processing. Finally, we use the converted C code to run on the DSP device. Before executing on DSP, we need build the project on PC by Code Composer Studio (CCS). In this thesis, we will introduce the associated operation environments of CCS and several DSP optimization methods.

參考文獻


[6] 3GPP TS 36.213, Physical Layer Procedures. V8.8.0, Sep. 2009.
[8] J. G. Proakis and M. Salehi, Digital Communications, 5th ed. McGraw-Hill, 2008.
[9] Steven M. Kay, Fundamentals of Statistical Signal Processing, Volume I: Estimation
[10] Steven M. Kay, Fundamentals of Statistical Signal Processing, Volume II: Detection
Theory. Prentice Hall, 1993.

延伸閱讀