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4下载：
引入PEG（Progressive-edge-growth）算法来构造适合线性时间编码的LDPC校验矩阵，译码时采用简化最小和Min-Sum译码算法实现简化译码．仿真结果表明，该方法能够构造适合LDPC码的线性时间编码的下三角校验矩阵日，并且用此方法构造的LDPC码性能非常接近原来PEG算法构造的LDPC码．同时通过采用最小和Min-Sum算法降低译码复杂度．,The introduction of PEG (Progressive-edge-growth) algorithm to const
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I. C. Wong, Z. Shen, J. G. Andrews, and B. L. Evans, ``A Low Complexity Algorithm for Proportional Resource Allocation in OFDMA Systems , Proc. IEEE Int. Work. Signal Processing Systems, 针对这篇文章给出的源代码,matlab code for I. C. Wong, Z. Shen, J. G. Andrew
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包含OFDM系统仿真，星状导频仿真，瑞利信道估计以及FFT与DFT算法复杂度比较。集合了12个项目，呵呵。-Contains the OFDM system simulation, the astroid pilot frequency simulation, the Rayleigh channel estimates as well as FFT and the DFT algorithm order of complexity compares. Has gathered 12 proje
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《A Low Complexity Algorithm for Proportional Resource Allocation in OFDMA Systems 》论文及完全的源码-" A Low Complexity Algorithm for Proportional Resource Allocation in OFDMA Systems" papers and complete source
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Presently FFT usage in GPS receivers has been a
topic of extensive study and many improved FFT-based
acquisition methods with averaging correlation
technique also have emerged. Although averaging
arithmetic can reduce the instant processing p
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Presently FFT usage in GPS receivers has been a
topic of extensive study and many improved FFT-based
acquisition methods with averaging correlation
technique also have emerged. Although averaging
arithmetic can reduce the instant processing p
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TD-SCDMA系统联合检测中的信道估计、信道估计后处理、信道估计串行干扰消除后处理算法的源代码。其中，信道估计采用频域快速FFT法以减少运算量；后处理采用激活窗检测法，只保留激活用户的多径信息，其余置0，以达到降低干扰及噪声的目的；串行干扰消除可以消除多小区信道估计的干扰，以得到本小区的纯净信道估计结果。-TD-SCDMA system, joint detection of channel estimation, channel estimation and post-processing,
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正交频分复用技术是近年来发展起来的新技术,在高速无线数据传输领域有很大的应用前景。文章在分析和总结相关文献的基础上,介绍了正交频分复用(OFDM)技术的发展历史,讨论了正交频分复用技术的基本原理和实现方法。通过分析表明,在高速无线通信中OFDM对于消除符号间干扰(ISI),降低系统的复杂度等方面具有很大优势。正交频分复用(OFDM)是一种多载波宽带数字调制技术,它能有效地克服传输中的多径干扰和消除码间串扰,适合于高速率的地面信道视频传输。本文就OFDM技术进行了较为详尽的分析,并对OFDM的传输
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一种新的OFDM的信道估计算法。比原有的信道估计算法复杂度要低，并且精度要高-A new algorithm for OFDM channel estimation. Than the original channel estimation algorithm complexity is lower, and higher precision
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一种低复杂度的短LDPC码级联译码算法A low-complexity decoding algorithm for short LDPC codes concatenated-A low-complexity decoding algorithm for short LDPC codes concatenated
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在本 GPS 软件接收机的实现中，主要针对C/A 码的捕获和跟踪算
法进行了C++代码的优化和改进，并在C++环境中调用Matlab 来实现
傅立叶变换的快速计算，将C++和Matlab 有机地结合在一起，提高了软件接收机的处理速度；使用类函数来实现大量的数组和矩阵运算，简化了程序的复杂性，提高了程序的可读性；分析所得到的卫星并从中筛选出四颗卫星来计算用户位置，提高了用户位置的精度。-In the GPS software receiver implementation, mainly
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这是3GPP下行辅同步信道检测的算法
包含了两种关键问题，一个是检测准确率的提升，一个是算法复杂度的降低，非常好的程序。-This is the 3GPP downlink secondary synchronization channel detection algorithm includes two key issues, one is to enhance detection accuracy, a reduction in the complexity of the algorit
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A Low Complexity Algorithm for Proportional
Resource Allocation in OFDMA Systems is one of the latest and most efficient algorithm which is the combination of both proportionality algorithm and maximization rate.-A Low Complexity Algorithm for Prop
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为了提高MIMO-OFDM系统的数据传输率和频谱利用率,提出一种新的自适应算法。该算法在保证信道质量所需误码率和总发射功率的前提下,按照各个子载波衰落程度动态地分配比特和功率,使系统的总数据传输速率最大。理论分析得出,该算法降低了系统运算复杂度,能很大地改善系统的整体性能。-In order to improve data transmission rates and spectrum efficiency of MIMO-OFDM systems,this paper proposes a n
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针对传统线性调频(LFM)信号参数估计算法中复杂的搜索和计算问题，提出了一种不需要参数搜索的快速
LFM信号参数估计算法。该算法先用希尔伯特变换估计LFM信号瞬时相位，再用二次相位函数拟合LFM信号瞬
时相位从而得到初始频率和调频斜率的估计-The traditional linear frequency modulation (LFM) signal parameter estimation algorithms and computational complexity of th
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多入多出(MIMO)系统可以获得比单发单收系统更高的容量，对于MIMO系统，最大似然检测是最优接收，但其
指数复杂度难以在实际中应用。针对该问题，结合格缩减理论提出了基于Householder变换的复数域格缩减算法，将该算法和
MIMO次优检测算法相结合，给出了量化判决方法，且该复数域格缩减算法复杂度小于实数域格缩减算法。仿真结果表明，
基于Householder变换复数域格缩减的MIMO次优检测算法，通过优化信道矩阵可以得到更好的判决域，取得了逼近最优最大
似然检测算法的性能。
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A low complexity 4G scheduling algorithm. The proposed
framework can also be applied to implement other scheduling
strategies. This is demonstrated by comparing different standard
schedulers in terms of achieved throughput and fairness.
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OFDM系统均衡器的RTL级设计，采用了MMSE检测算法，复杂度降低-OFDM system equalizer RTL design, using MMSE algorithm complexity is reduced
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这篇论文主要低复杂度下的毫米波大规模MIMO混和预编码和信道估计，该算法能够降低计算复杂度和时间复杂度。(This paper mainly deals with millimeter-wave MIMO mixed precoding and channel estimation under low complexity. The algorithm can reduce the computational complexity and time complexity.)
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Being an effective non-orthogonal multiple access (NOMA) technique, sparse code multiple access (SCMA) is promising for future wireless communication. Compared with orthogonal techniques, SCMA enjoys higher overloading tolerance and lower complexity
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