In this paper, two-dimensional (2-D) correction scheme is proposed to improve the performance of conventional Min-Sum (MS) decoding of regular low density parity check codes. The adopted algorithm to obtain the correc...In this paper, two-dimensional (2-D) correction scheme is proposed to improve the performance of conventional Min-Sum (MS) decoding of regular low density parity check codes. The adopted algorithm to obtain the correction factors is simply based on estimating the mean square difference (MSD) between the transmitted codeword and the posteriori information of both bit and check node that produced at the MS decoder. Semi-practical tests using software-defined radio (SDR) and specific code simulations show that the proposed quasi-optimal algorithm provides a comparable error performance as Sum-Product (SP) decoding while requiring less complexity.展开更多
提出一种简单高效的GF(q)-LDPC码译码算法,将对数似然比和积译码算法中的雅可比对数利用一阶泰勒级数近似,从而降低译码时校验点计算的复杂度.与目前广泛应用的O ffset m in-sum算法相比较,在BER为10-4处性能有0.2 dB左右的提升,并且本...提出一种简单高效的GF(q)-LDPC码译码算法,将对数似然比和积译码算法中的雅可比对数利用一阶泰勒级数近似,从而降低译码时校验点计算的复杂度.与目前广泛应用的O ffset m in-sum算法相比较,在BER为10-4处性能有0.2 dB左右的提升,并且本算法中的参数设计独立于有限域的阶数.展开更多
已有应用于OFDM(O rthogonal Frequency D ivision Mu ltip lexing)的各种纠错码,但有的纠错能力不强,误码率较大,有的译码复杂度较高。为此,在分析了密度演变算法的基础上,利用差分分解算法和计算机搜索,选择了基于多径衰落信道的OFDM...已有应用于OFDM(O rthogonal Frequency D ivision Mu ltip lexing)的各种纠错码,但有的纠错能力不强,误码率较大,有的译码复杂度较高。为此,在分析了密度演变算法的基础上,利用差分分解算法和计算机搜索,选择了基于多径衰落信道的OFDM系统的非规则LDPC(Low Density Parity Check)码的最佳度分配对,对系统的误码性能作了仿真,并与最佳规则LDPC码的OFDM系统在同样条件下作了比较。仿真结果显示,在各种映射模式下,所选择的最佳度分配对非规则LDPC码系统的性能优于最佳规则LDPC码系统的性能,在误码率为10-5时,信噪比增益达到1 dB。展开更多
文摘In this paper, two-dimensional (2-D) correction scheme is proposed to improve the performance of conventional Min-Sum (MS) decoding of regular low density parity check codes. The adopted algorithm to obtain the correction factors is simply based on estimating the mean square difference (MSD) between the transmitted codeword and the posteriori information of both bit and check node that produced at the MS decoder. Semi-practical tests using software-defined radio (SDR) and specific code simulations show that the proposed quasi-optimal algorithm provides a comparable error performance as Sum-Product (SP) decoding while requiring less complexity.
文摘已有应用于OFDM(O rthogonal Frequency D ivision Mu ltip lexing)的各种纠错码,但有的纠错能力不强,误码率较大,有的译码复杂度较高。为此,在分析了密度演变算法的基础上,利用差分分解算法和计算机搜索,选择了基于多径衰落信道的OFDM系统的非规则LDPC(Low Density Parity Check)码的最佳度分配对,对系统的误码性能作了仿真,并与最佳规则LDPC码的OFDM系统在同样条件下作了比较。仿真结果显示,在各种映射模式下,所选择的最佳度分配对非规则LDPC码系统的性能优于最佳规则LDPC码系统的性能,在误码率为10-5时,信噪比增益达到1 dB。
