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机构地区:[1]中国科技大学电子与科学技术系,合肥230027
出 处:《数据采集与处理》2015年第3期599-605,共7页Journal of Data Acquisition and Processing
基 金:国家科技重大专项(2011ZX03004-002-01)资助项目
摘 要:阐述了一种基于脉冲无线电超宽带(Impulse radio ultra-wideband,IR-UWB)系统的高速低密度奇偶校验码(Low density parity-check codes,LDPC)算法推导及其性能比较,分析了渐进添边算法(Progressive edge-growth,PEG)结合分块准循环(Quasi-cyclic,QC)的方式实现校验矩阵的构造以及单位阵(I矩阵)和Q矩阵作为子循环矩阵时的性能,并通过Matlab仿真的误比特曲线对算法进行分析。该LDPC解码器的设计采用一种基于变量因子的最小和(Minimum sum,MS)译码算法,硬件复杂度较低,在标准UWB衰弱信道中,误码率10-6下产生约3.2dB信噪损失。The derivation and the performance (LDPC) codes algorithm are proposed for the communication system. The PEG algorithm is analysis of a kind of high-rate low density parity check application of impulse radio ultra-wideband (IR-UWB) combined with block quasi-cyclic manner to construct the parity check matrix and the two different algorithms performance are compared by using the matrix ! and matrix Q as the sub-block cyclic matrix. The performance analysis is conducted with bit-error curve from Matlab simulation. Moreover, the minimum sum (MS) decoding algorithm based on a variable factor of the design is proposed and the final low complexity low density parity-check code (LDPC) decoder incurs only about 3.2dB signal-to-noise ratio (SNR) loss with the error rate of 10-6 bit in standard UWB fading channels.
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