无线通信内接收机算法研究及其基于多核处理器的实现
发布时间：2019-03-12 12:46
【摘要】：如今无线通信飞速发展,传统的ASIC实现方式已经难以满足当前对移动终端更新换代的需求,因此基于软件无线电的实现方式越来越受到大家的欢迎,目前各大公司都在研究基于处理器无线通信的SDR实现。本文主要研究无线通信基于多核处理器的实现方式,本文选取了移动广播多媒体CMMB和4G标准LTE两个典型标准。 本文主要工作主要包括： 1)分析当前国内外的无线通信标准,并且调研了当前国内外各大研究单位针对SDR实现方式的主流处理器平台构架,并通过分析典型的处理器平台的优缺点,分析归纳出适用于通信处理器平台的一般优化方法。 2)针对CMMB内接收机部分,由于其算法已经比较成熟,因此我们采用现有典型的算法。从算法层面,我们选择了较优的算法划分,根据数据流进行任务划分,尽量细化每个任务,开发其中的并行性。映射过程中根据增大并行性和减少通信量两大主要准则进行合理的映射到多核处理器平台。接着从SIMD方面增大并行度,寄存器扩展,共享存储器利用以及优化硬件添加复杂指令对实现进行优化。最终整个内接收机的吞吐率能达到120Mbps,完全满足CMMB需求。与当前比较先进的实现结果进行对比,本文实现结果在吞吐率上有绝对优势,并且能效比仅为2.19nJ/bit低于当前其他实现结果。 3)针对LTE的MIMO检测,本文首先分析了对于MIMO检测的各种算法(线性和非线性的检测算法),然后着重分析了当前最热门的球形译码算法中的FD-BF和K-Best算法,在FD-BF在的基础上,提出了一种基于K-Best的枚举策略的KE-FDBF算法。该算法在保证误符号率的情况下,其访问节点的个数远远小于K-Best以及访问节点不定的FD-BF算法。实现时本文结合了第二版本的多核处理器的新特性,并且通过堆栈策略的优化,DMA以及添加一些不易用处理器实现的Demap和Cordic处理单元,大大提升了处理效率。其实现结果与当前ASIC实现结果较为接近。CMMB内接收机和LTE的MIMO信号检测良好的实现结果表明了我们映射方式的合理以及我们的多核处理器平台在通信领域有着巨大的潜力。
[Abstract]:With the rapid development of wireless communication, the traditional ASIC implementation has been difficult to meet the current needs of mobile terminal updating, so the implementation based on software radio is more and more popular. At present, all the major companies are studying the implementation of SDR based on processor wireless communication. This paper mainly studies the implementation of wireless communication based on multi-core processor. Two typical standards of mobile broadcast multimedia CMMB and 4G standard LTE are selected in this paper. The main work of this paper is as follows: 1) analyze the current wireless communication standards at home and abroad, and investigate the mainstream processor platform architecture for the implementation of SDR among the major domestic and foreign research units. Through the analysis of the advantages and disadvantages of the typical processor platform, the general optimization method for communication processor platform is summarized. 2) for the part of CMMB receiver, because the algorithm is mature, we adopt the typical algorithm. From the algorithm level, we choose the better algorithm partition, divide the tasks according to the data stream, refine each task as far as possible, and develop the parallelism among them. In the process of mapping, it is reasonable to map to multi-core processor platform according to the two main criteria of increasing parallelism and reducing traffic. Then from the aspect of SIMD to increase parallelism, register expansion, shared memory utilization and optimization hardware to add complex instructions to optimize the implementation. Finally, the throughput of the whole receiver can reach 120 Mbps, which fully meets the requirements of CMMB. Compared with the current advanced implementation results, the proposed implementation results have absolute advantage in throughput, and the energy-efficiency ratio is only lower than other current implementation results in 2.19nJ/bit. 3) for the MIMO detection of LTE, this paper first analyzes various algorithms for MIMO detection (linear and non-linear detection algorithms), and then analyzes the FD-BF and K-Best algorithms in the most popular spherical decoding algorithms. On the basis of FD-BF, a KE-FDBF algorithm based on K-Best enumeration strategy is proposed. When the symbol error rate is guaranteed, the number of access nodes in this algorithm is much smaller than that of K-Best and the FD-BF algorithm with uncertain access nodes. This paper combines the new features of the second version of the multi-core processor, and through the optimization of stack strategy, DMA and some Demap and Cordic processing units which are not easy to implement with the processor, the processing efficiency is greatly improved. The implementation results are close to those of the current ASIC implementation, and the good results of MIMO signal detection in CMMB receiver and LTE show that our mapping mode is reasonable and our multi-core processor platform has great potential in the field of communication.
【学位授予单位】：复旦大学
【学位级别】：硕士
【学位授予年份】：2012
【分类号】：TN92;TP332
本文编号：2438789
[Abstract]:With the rapid development of wireless communication, the traditional ASIC implementation has been difficult to meet the current needs of mobile terminal updating, so the implementation based on software radio is more and more popular. At present, all the major companies are studying the implementation of SDR based on processor wireless communication. This paper mainly studies the implementation of wireless communication based on multi-core processor. Two typical standards of mobile broadcast multimedia CMMB and 4G standard LTE are selected in this paper. The main work of this paper is as follows: 1) analyze the current wireless communication standards at home and abroad, and investigate the mainstream processor platform architecture for the implementation of SDR among the major domestic and foreign research units. Through the analysis of the advantages and disadvantages of the typical processor platform, the general optimization method for communication processor platform is summarized. 2) for the part of CMMB receiver, because the algorithm is mature, we adopt the typical algorithm. From the algorithm level, we choose the better algorithm partition, divide the tasks according to the data stream, refine each task as far as possible, and develop the parallelism among them. In the process of mapping, it is reasonable to map to multi-core processor platform according to the two main criteria of increasing parallelism and reducing traffic. Then from the aspect of SIMD to increase parallelism, register expansion, shared memory utilization and optimization hardware to add complex instructions to optimize the implementation. Finally, the throughput of the whole receiver can reach 120 Mbps, which fully meets the requirements of CMMB. Compared with the current advanced implementation results, the proposed implementation results have absolute advantage in throughput, and the energy-efficiency ratio is only lower than other current implementation results in 2.19nJ/bit. 3) for the MIMO detection of LTE, this paper first analyzes various algorithms for MIMO detection (linear and non-linear detection algorithms), and then analyzes the FD-BF and K-Best algorithms in the most popular spherical decoding algorithms. On the basis of FD-BF, a KE-FDBF algorithm based on K-Best enumeration strategy is proposed. When the symbol error rate is guaranteed, the number of access nodes in this algorithm is much smaller than that of K-Best and the FD-BF algorithm with uncertain access nodes. This paper combines the new features of the second version of the multi-core processor, and through the optimization of stack strategy, DMA and some Demap and Cordic processing units which are not easy to implement with the processor, the processing efficiency is greatly improved. The implementation results are close to those of the current ASIC implementation, and the good results of MIMO signal detection in CMMB receiver and LTE show that our mapping mode is reasonable and our multi-core processor platform has great potential in the field of communication.
【学位授予单位】：复旦大学
【学位级别】：硕士
【学位授予年份】：2012
【分类号】：TN92;TP332
【参考文献】
相关博士学位论文 前1条
1 吴川;数字电视解调芯片关键技术研究[D];复旦大学;2011年
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