【摘要】：LTE系統(tǒng)是最有發(fā)展前景的數(shù)字通信系統(tǒng)之一,具有高數(shù)據(jù)速率、分組傳送、延遲降低、廣域覆蓋和向下兼容的技術(shù)優(yōu)勢(shì)。目前LTE系統(tǒng)已經(jīng)達(dá)到上行50Mbps,下行100Mbps的傳輸速率,這就要求接收機(jī)具備低時(shí)延的同時(shí),還要能快速處理高速率數(shù)據(jù)。但是,傳統(tǒng)的單核處理器的處理能力,已經(jīng)不能滿足LTE系統(tǒng)對(duì)高速率數(shù)據(jù)處理的要求。多核處理器具有高性能、低功耗、易于編程等諸多優(yōu)勢(shì),研究基于多核處理結(jié)構(gòu)的LTE并行化實(shí)現(xiàn)方案,已經(jīng)成為亟待解決的問(wèn)題。首先,本文研究了典型信號(hào)處理算法的并行化實(shí)現(xiàn)。針對(duì)復(fù)數(shù)矩陣求逆,本文采用了并行的方法來(lái)實(shí)現(xiàn)。整體使用流水線的結(jié)構(gòu)方式,增加了模塊的吞吐量,計(jì)算量是傳統(tǒng)方法的三分之一,同時(shí)流水線的階數(shù)是傳統(tǒng)方法的二分之一。在時(shí)延和資源消耗,以及計(jì)算精度上,并行的方法相對(duì)于傳統(tǒng)串行方法都與較大提升。并且,針對(duì)LTE系統(tǒng)中常見(jiàn)的DFT/IDFT模塊,本文采用了并行化的互質(zhì)因子算法(PFA)和Cooley-Tukey算法相結(jié)合的整體算法方法來(lái)實(shí)現(xiàn),在一定程度上減少了操作量和資源消耗。其次,本文研究了LTE系統(tǒng)加擾算法的并行化實(shí)現(xiàn)技術(shù)通過(guò)回顧常用的并行加擾方法,在此基礎(chǔ)上提出了一種新的并行加擾方案：基于稀疏矩陣運(yùn)算的并行加擾方法,這種方案相對(duì)傳統(tǒng)的加擾方法在運(yùn)算量上具有顯著的優(yōu)勢(shì)。該方法為在多核平臺(tái)上實(shí)現(xiàn)任意位寬擾碼的加擾提供了新的思路。最后,本文研究了低密度奇偶校驗(yàn)碼(LDPC)的并行化編碼技術(shù)。首先回顧了LDPC碼的發(fā)展歷程和現(xiàn)狀,然后介紹了LDPC碼檢驗(yàn)矩陣的構(gòu)造、編譯碼原理。針對(duì)常用的基于全下三角形式的編碼算法,分析了該方法對(duì)于LDPC碼檢驗(yàn)矩陣構(gòu)造的局限性。針對(duì)這一問(wèn)題給出一種基于稀疏矩陣相乘的LDPC編碼方式,建議算法具有高效、通用、受LDPC碼檢驗(yàn)矩陣構(gòu)造約束小的優(yōu)勢(shì)。仿真結(jié)果表明,建議方法在運(yùn)算時(shí)間上相對(duì)傳統(tǒng)方法具有較大的優(yōu)勢(shì)。本文提出的并行化方案具有效率高、速度快、實(shí)現(xiàn)復(fù)雜度低的優(yōu)勢(shì),一系列研究成果可廣泛應(yīng)用于各種高速無(wú)線通信系統(tǒng)中。豐富了下一代無(wú)線通信LTE系統(tǒng)的實(shí)現(xiàn)方案,為L(zhǎng)TE系統(tǒng)收發(fā)機(jī)的并行化處理提供了參考。
[Abstract]:LTE system is one of the most promising digital communication systems. It has the advantages of high data rate, packet transmission, reduced delay, wide area coverage and downward compatibility. At present, the LTE system has reached the uplink 50Mbps.Downlink 100Mbps transmission rate, which requires the receiver to have low delay, but also to process high-speed data quickly. However, the processing capability of traditional single-core processors can not meet the requirements of high-rate data processing in LTE systems. Multi-core processor has many advantages, such as high performance, low power consumption, easy programming and so on. The research of LTE parallelization based on multi-core processing architecture has become an urgent problem. Firstly, the parallel implementation of typical signal processing algorithms is studied. In order to solve the inverse of complex matrix, the parallel method is used in this paper. With the overall pipeline structure, the throughput of the module is increased, and the computation amount is 1/3 of the traditional method, and the order of the pipeline is 1/2 of that of the traditional method. In terms of time delay, resource consumption, and computational accuracy, the parallel method is much better than the traditional serial method. Moreover, for the common DFT/IDFT module in LTE system, this paper uses the parallel mutual prime factor algorithm (PFA) and the Cooley-Tukey algorithm to realize the whole algorithm, which can reduce the operation amount and the resource consumption to a certain extent. Secondly, this paper studies the parallelization of scrambling algorithm in LTE system. Based on the review of common parallel scrambling methods, a new parallel scrambling scheme is proposed: the parallel scrambling method based on sparse matrix operation. Compared with the traditional scrambling method, this scheme has significant advantages in computation. This method provides a new idea for the scrambling of arbitrary bit width scrambling codes on multi-core platform. Finally, the parallel coding technology of low density parity check code (LDPC) is studied in this paper. This paper reviews the development and present situation of LDPC codes, and then introduces the construction of LDPC code verification matrix and the principle of encoding and decoding. Aiming at the common coding algorithms based on the full lower triangular form, the limitation of this method to the construction of LDPC code check matrix is analyzed. In order to solve this problem, a method of LDPC coding based on sparse matrix multiplication is proposed. It is suggested that the algorithm has the advantages of high efficiency, generality and small constraint of constructing LDPC code check matrix. The simulation results show that the proposed method has a great advantage over the traditional method in computing time. The proposed parallelization scheme has the advantages of high efficiency, high speed and low implementation complexity. A series of research results can be widely used in various high-speed wireless communication systems. It enriches the implementation scheme of next generation wireless communication LTE system and provides a reference for parallel processing of LTE transceiver.
【學(xué)位授予單位】：電子科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TN929.5
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本文編號(hào)：2219910