An improved Euclidean geometry approach to design quasi-cyclic （QC） Low-density parity-check （LDPC） codes with high-rate and low error floor is presented. The constructed QC-LDPC codes with high-rate have lower er...An improved Euclidean geometry approach to design quasi-cyclic （QC） Low-density parity-check （LDPC） codes with high-rate and low error floor is presented. The constructed QC-LDPC codes with high-rate have lower error floor than the original codes. The distribution of the minimum weight codeword is analyzed, and a sufficient existence condition of the minimum weight codeword is found. Simulations show that a lot of QC-LDPC codes with lower error floor can be designed by reducing the number of the minimum weight codewords satisfying this sufficient condition.展开更多
针对压缩感知(CS)中由观测噪声引起的信号重建误差问题,提出利用非相关性约束理论作为衡量压缩重建条件的重构误差向量的方法。该方法基于线性分组码中稀疏校验矩阵的零化子特性,建立了以误差向量为目标信号的线性规划问题,实现了低密...针对压缩感知(CS)中由观测噪声引起的信号重建误差问题,提出利用非相关性约束理论作为衡量压缩重建条件的重构误差向量的方法。该方法基于线性分组码中稀疏校验矩阵的零化子特性,建立了以误差向量为目标信号的线性规划问题,实现了低密度奇偶校验(LDPC)码的压缩感知重构。仿真结果表明:在加性高斯白噪声信道和原对偶内点算法下,选取的3种LDPC码均具备较强的信号重构能力,其中Mac Kay随机码的相关性系数较小,因此在信噪比为-1 d B时就可达到100%的误差向量重构成功率。同时表明在满足误比特率要求下,CS-LDPC码可使系统实现低信噪比下的高可靠性通信。展开更多
基金supported by the Scientific Research Program Funded by Shaanxi Provincial Education Department (11JK1007)the Program for Young Teachers in Xi’an University of Posts and Telecommunications (0001286)the National Basic Research Program of China (2012CB328300)
文摘An improved Euclidean geometry approach to design quasi-cyclic （QC） Low-density parity-check （LDPC） codes with high-rate and low error floor is presented. The constructed QC-LDPC codes with high-rate have lower error floor than the original codes. The distribution of the minimum weight codeword is analyzed, and a sufficient existence condition of the minimum weight codeword is found. Simulations show that a lot of QC-LDPC codes with lower error floor can be designed by reducing the number of the minimum weight codewords satisfying this sufficient condition.
文摘针对压缩感知(CS)中由观测噪声引起的信号重建误差问题,提出利用非相关性约束理论作为衡量压缩重建条件的重构误差向量的方法。该方法基于线性分组码中稀疏校验矩阵的零化子特性,建立了以误差向量为目标信号的线性规划问题,实现了低密度奇偶校验(LDPC)码的压缩感知重构。仿真结果表明:在加性高斯白噪声信道和原对偶内点算法下,选取的3种LDPC码均具备较强的信号重构能力,其中Mac Kay随机码的相关性系数较小,因此在信噪比为-1 d B时就可达到100%的误差向量重构成功率。同时表明在满足误比特率要求下,CS-LDPC码可使系统实现低信噪比下的高可靠性通信。
