【摘要】 随着通信系统由5G向6G迈进，概率整形技术在卫星通信领域展现出巨大潜力，但现有主流方案通常涉及复杂的分布匹配与编码调制映射操作，导致系统实现复杂度较高，不利于卫星通信资源受限场景下的实时应用。针对这一问题，提出一种基于比特翻转的低复杂度概率整形方案。通过将原始信息比特分组，根据幅度比特位置关系进行针对性的翻转操作，调控比特“0”与“1”的概率，实现星座点的类高斯分布，从而提高传输效率。在具体实现中，设计了两种判定算法，兼顾了概率分布的整形精度与实现简洁性。仿真结果显示，所提方法在64QAM和256QAM调制阶数下，与传统BICM方案相比，在误块率为1×10^-3时分别获得约0.15 dB和0.3 dB的性能提升，且几乎不增加系统复杂度。更多还原

【Abstract】 As communication systems evolve from 5G to 6G,probabilistic shaping technology has shown great potential in the field of satellite communications.However,the existing mainstream solutions usually involve complex distribution matching and coding modulation mapping operations,which leads to high system implementation complexity and is not conducive to real-time applications in limited-resource satellite communication scenarios.To address this problem,this paper proposes a low-complexity probabilistic shaping scheme based on bit flipping.By grouping the original information bits and performing targeted flipping operations according to the amplitude bit position relationship,the probabilities of bits "0" and "1" are adjusted to achieve a quasi-Gaussian distribution of constellation points,thereby improving the transmission efficiency.In the implementation,two decision algorithms are designed to balance the shaping accuracy of the probability distribution and the implementation simplicity.Simulation results show that compared with the traditional BICM scheme,the proposed method achieves performance improvements of about 0.15 dB and 0.3 dB at a block error rate of 10-3 under 64QAM and 256QAM,respectively,while introducing negligible extra system complexity.更多还原