计算机工程与应用
計算機工程與應用
계산궤공정여응용
COMPUTER ENGINEERING AND APPLICATIONS
2014年
4期
203-206,230
,共5页
信道编码理论%最小和译码算法%量化
信道編碼理論%最小和譯碼算法%量化
신도편마이론%최소화역마산법%양화
channel coding theory%Min-Sum(MS)algorithm%quantization
为减小低密度奇偶校验（LDPC）码的量化译码算法的实现复杂度，提出了一种改进的4比特量化自适应偏移最小和（AOMS）译码算法。改进的AOMS译码算法中引入了预设的固定迭代次数作为启动偏移量修正因子自适应选择的条件；设计了一种4比特非均匀数据量化方案，保证量化数据的取值范围既能较好地满足外信息的动态范围，又能简单实现优化的量化偏移量修正因子。仿真结果表明，与浮点译码算法相比较，改进的量化AOMS译码算法的译码性能损失较小。
為減小低密度奇偶校驗（LDPC）碼的量化譯碼算法的實現複雜度，提齣瞭一種改進的4比特量化自適應偏移最小和（AOMS）譯碼算法。改進的AOMS譯碼算法中引入瞭預設的固定迭代次數作為啟動偏移量脩正因子自適應選擇的條件；設計瞭一種4比特非均勻數據量化方案，保證量化數據的取值範圍既能較好地滿足外信息的動態範圍，又能簡單實現優化的量化偏移量脩正因子。倣真結果錶明，與浮點譯碼算法相比較，改進的量化AOMS譯碼算法的譯碼性能損失較小。
위감소저밀도기우교험（LDPC）마적양화역마산법적실현복잡도，제출료일충개진적4비특양화자괄응편이최소화（AOMS）역마산법。개진적AOMS역마산법중인입료예설적고정질대차수작위계동편이량수정인자자괄응선택적조건；설계료일충4비특비균균수거양화방안，보증양화수거적취치범위기능교호지만족외신식적동태범위，우능간단실현우화적양화편이량수정인자。방진결과표명，여부점역마산법상비교，개진적양화AOMS역마산법적역마성능손실교소。
In order to reduce the implementation complexity of the quantized decoding algorithm for the Low-Density Parity-Check(LDPC)codes, an improved 4-bit quantized Adaptive-Offset Min-Sum(AOMS)algorithm is designed. The improved AOMS algorithm is obtained by introducing a pre-determined iteration number as the condition of adaptive selecting the offset factors. Furthermore, a 4-bit nonuniform quantization scheme is designed, which can guarantee the dynamic range of the extrinsic information and easily utilize the optimized quantized offset factors. The simulation results show that, compared with the floating-point decoding algorithms, the performance degradation of the improved 4-bit nonuniform quantized AOMS algorithm can be neglected.
