本文選題：基帶信號處理 + 并行計算　； 參考：《北京交通大學》2014年碩士論文

【摘要】：摘要：隨著移動通信技術的突飛猛進,基于專門硬件實現(xiàn)的通信設備因其功能單一,出現(xiàn)了通信標準和系統(tǒng)之間不兼容以及升級困難等問題。軟件無線電技術采用軟件實現(xiàn)無線通信算法,可以靈活的將不同的通信系統(tǒng)在一個通用的硬件平臺上實現(xiàn),但是傳統(tǒng)上的軟件無線電平臺是利用FPGA或DSP等可編程器件進行高速信號處理,其開發(fā)難度大,周期長。近年來,基于通用處理器(GPP)的軟件無線電平臺由于開發(fā)難度低并且易于升級等特點為軟件無線電的發(fā)展提供新方向。但是,目前GPP并不是專為無線信號處理設計,因此基于GPP的軟件無線電開發(fā)很難滿足實時性需求。為此,本文采用計算機領域中高性能計算技術,基于多核處理器和圖形處理器的并行處理技術來加速通信系統(tǒng)中典型基帶信號的處理速度。這樣可以從根本上突破計算瓶頸,使基于GPP的軟件無線電平臺開發(fā)繼續(xù)向前邁進了一步。 本文依托國家科技重大專項三,基于TD-LTE的高速鐵路寬帶通信的關鍵技術研究與應用驗證,展開了對LTE系統(tǒng)中典型基帶算法進行并行處理研究,并設計實現(xiàn)基于多核平臺和GPU平臺的并行通信算法。 論文的主要工作可以歸納為以下幾個方面： 第一,針對MATLAB仿真平臺仿真速度慢的問題,本文提出基于IT++軟件平臺進行通信系統(tǒng)的建模、分析和設計。并成功搭建基于IT++軟件開發(fā)平臺的LTE下行鏈路仿真平臺,分析查找LTE系統(tǒng)中耗時基帶算法。 第二,以4核心CPU為硬件平臺、Microsoft Visual Studio2010為軟件環(huán)境,使用C語言搭建基于OpenMP共享存儲模型和基于Win32API的多核并行處理技術的并行計算開發(fā)平臺。 第三,在搭建的并行計算平臺上面分別設計實現(xiàn)多核并行FFT算法,多核并行Vitebi譯碼算法,并對性能指標加速比進行測試分析,最終加速比接近4。 第四,以Gtx660為硬件開發(fā)平臺,搭建基于CUDA的GPU并行計算平臺,并以Fourier矩陣乘法的方法設計特定需求下的多線程IDFT算法,最終加速增益在187倍左右。
[Abstract]:Absrtact: with the rapid development of mobile communication technology, the communication equipment based on special hardware has many problems, such as the single function, the incompatibility between communication standards and systems, and the difficulty of upgrading.Software radio technology uses software to implement wireless communication algorithms, which can flexibly implement different communication systems on a common hardware platform.However, the traditional software radio platform uses FPGA or DSP to process high speed signal, which is difficult to develop and has a long period.In recent years, the software radio platform based on GPP provides a new direction for the development of software radio because of its low difficulty and easy upgrade.However, at present, GPP is not specially designed for wireless signal processing, so the development of software radio based on GPP is difficult to meet the requirement of real time.Therefore, in this paper, the high performance computing technology in the field of computer and parallel processing technology based on multi-core processor and graphics processor are adopted to accelerate the processing speed of typical baseband signal in communication system.In this way, the computing bottleneck can be fundamentally broken, and the development of software radio platform based on GPP is further advanced.Based on the research and application verification of the key technology of high-speed railway broadband communication based on TD-LTE, this paper carries out parallel processing of typical baseband algorithm in LTE system.The parallel communication algorithm based on multi-core platform and GPU platform is designed and implemented.The main work of this paper can be summarized as follows:First, aiming at the slow simulation speed of MATLAB simulation platform, this paper proposes a communication system modeling, analysis and design based on IT software platform.The LTE downlink simulation platform based on IT software development platform is successfully built, and the time-consuming baseband algorithm in the LTE system is analyzed.Secondly, using 4 core CPU as hardware platform and Microsoft Visual Studio2010 as software environment, C language is used to build parallel computing development platform based on OpenMP shared storage model and multi-core parallel processing technology based on Win32API.Thirdly, the multi-core parallel FFT algorithm and the multi-core parallel Vitebi decoding algorithm are designed and implemented on the parallel computing platform, and the speedup of the performance index is tested and analyzed, and the final speedup is close to 4.Fourthly, using Gtx660 as hardware development platform, the GPU parallel computing platform based on CUDA is built, and the multithreaded IDFT algorithm is designed by Fourier matrix multiplication method. Finally, the acceleration gain is about 187 times.
【學位授予單位】：北京交通大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：TN929.5

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本文編號：1767967