基于网格的噪声调制与软判决维特比检测
Trellis-Based Noise Modulation with Soft-Decision Viterbi Detection
- Bu-Ali Sina University（布阿利·西纳大学）
- National Institute of Telecommunications (Inatel)（国家电信研究所（Inatel））
- College of Engineering and Technology, American University of the Middle East（中东美国大学工程与技术学院）
机构由 AI 辅助整理，请以论文原文为准。
AI总结：
本文提出基于网格的噪声调制框架，采用联合软判决维特比检测，通过巴氏距离设计功率水平，在N进制方案中权衡频谱效率、可靠性与复杂度。
AI中文摘要：
噪声调制通过噪声的统计特性而非传统的确定性信号参数来传递信息。本文研究了一种基于网格的噪声调制框架，该框架利用连续噪声功率符号之间的时间依赖性。首先开发了一种基于二进制滤波的配置，作为说明性的有限状态模型，用于比较硬判决和软判决序列检测。随后提出了一种联合软判决维特比接收机，该接收机直接将接收到的噪声能量纳入基于似然的分支度量中，避免了中间硬判决相关的信息损失。该框架进一步扩展为N进制状态相关的基于网格的噪声调制方案，其中传输的噪声功率水平联合依赖于当前输入符号和网格状态。采用基于巴氏距离的方法进行系统性的功率水平设计。仿真结果证明了软判决序列检测相对于硬判决处理的优势，并研究了功率水平设计、回溯深度、每比特能量与噪声比、符号持续时间和调制阶数的影响。结果还揭示了高阶噪声调制中频谱效率、检测可靠性和网格复杂度之间的权衡。
英文摘要：
Noise modulation conveys information through the statistical properties of noise rather than conventional deterministic signal parameters. This paper investigates a trellis-based noise modulation framework that exploits temporal dependencies between successive noise-power symbols. A binary filtering-based configuration is first developed as an illustrative finite-state model for comparing hard- and soft-decision sequence detection. A joint soft Viterbi receiver is then proposed, which directly incorporates the received noise energy into a likelihood-based branch metric, avoiding the information loss associated with intermediate hard decisions. The framework is further extended to an N-ary state-dependent trellis-based noise modulation scheme, where the transmitted noise-power level depends jointly on the current input symbol and trellis state. A Bhattacharyya-distance-based method is employed for systematic power-level design. Simulation results demonstrate the advantage of soft-decision sequence detection over hard-decision processing and investigate the effects of power-level design, traceback depth, energy-per-bit-to-noise ratio, symbol duration, and modulation order. The results also reveal the trade-off between spectral efficiency, detection reliability, and trellis complexity in higher-order noise modulation.
