College of Information & Communication Engineering, Harbin Engineering University, Harbin 150001, China.
Sensors (Basel). 2018 Jul 25;18(8):2418. doi: 10.3390/s18082418.
In order to enhance the reliability and anti-interference performance of wireless sensor network (WSN) data transmission, this paper designs the low power scheme of the WSN from the angle of error correction coding and proposes the hybrid check matrix construction (HC) algorithm based on iterative coding algorithms with linear coding complexity. The algorithm first improves the traditional iterative coding algorithm, making it suitable for non-binary low-density parity check (LDPC) codes. Then, the algorithm applies the backward iteration method to change the coding scheme and uses the check matrix construction method so that the progressive edge growth (PEG) algorithm has a lower triangular structure, which is used as a base matrix. An improved quasi-cyclic LDPC (QC-LDPC) algorithm, with a lower triangular structure, is used to generate a cyclic shift matrix and a finite domain coefficient matrix. Simultaneously, the short loop is eliminated and the optimal check matrix is selected for use in the channel coding process. The non-binary LDPC-CPM system is modeled and simulated. The simulation results show that the non-binary LDPC code constructed by the HC algorithm not only has linear coding and storage complexity but also has strong error correction capability. The design of non-binary LDPC-CPM system parameters can enhance the reliability, anti-jamming capability and reduce the complexity and reduce the complexity of the WSN.
为了提高无线传感器网络（WSN）数据传输的可靠性和抗干扰性能，本文从纠错编码的角度设计了 WSN 的低功耗方案，并提出了基于具有线性编码复杂度的迭代编码算法的混合校验矩阵构造（HC）算法。该算法首先改进了传统的迭代编码算法，使其适用于非二进制低密度奇偶校验（LDPC）码。然后，该算法应用后向迭代方法改变编码方案，并使用校验矩阵构造方法，使渐进边增长（PEG）算法具有下三角结构，作为基矩阵。使用改进的具有下三角结构的准循环 LDPC（QC-LDPC）算法生成循环移位矩阵和有限域系数矩阵。同时，消除短环并选择最佳校验矩阵用于信道编码过程。对非二进制 LDPC-CPM 系统进行建模和仿真。仿真结果表明，HC 算法构造的非二进制 LDPC 码不仅具有线性编码和存储复杂度，而且具有较强的纠错能力。非二进制 LDPC-CPM 系统参数的设计可以提高可靠性、抗干扰能力，降低复杂度，降低 WSN 的复杂度。
