AI 中文总结
针对差分二元噪声调制，提出基于后相关判决统计量合并的SIMO接收方法，推导精确误比特率，利用65 GHz室内NLoS实测量化空间资源与观测长度的分集权衡。
AI 中文摘要
差分二元噪声（DBN）调制将信息编码在复用噪声实现的极性转换中，无需信道状态信息和载波相位恢复。本文提出通过后相关判决统计量合并，再经一次零阈值判决，实现DBN的单输入多输出（SIMO）接收。合并后的统计量是复高斯向量的厄米二次型，可得到精确的条件误比特率（BEP），无需高斯近似。对κ-μ衰落和复用能量求平均后，得到任意权重下的精确BEP。由于能量共享，其深衰落对所有分支相同，且观测长度将分集阶数限制为min(Mμ,N)。偏转最优权重以闭式形式呈现，可在软合并与功率加权间插值。65 GHz室内非视距（NLoS）实测结果量化了空间资源与观测长度间的权衡关系。
英文摘要
Differential binary noise (DBN) modulation encodes information in the polarity transition of a reused noise realization, dispensing channel state information and carrier-phase recovery. This letter proposes single-input multiple-output (SIMO) reception for DBN via post-correlation decision-statistic combining, followed by one zero-threshold decision. The combined statistic is a Hermitian quadratic form in complex Gaussian vectors, yielding an exact conditional bit error probability (BEP) with no Gaussian approximation. Averaging it over $κ$-$μ$ fading and the reused energy gives the exact BEP for arbitrary weights. Because that energy is shared, its deep fades are common to every branch, and the observation length caps the diversity order at $\min(Mμ,N)$. The deflection-optimal weights follow in closed form and interpolate soft combining and power weighting. Measured 65 GHz indoor non-line-of-sight (NLoS) results quantify the trade-off between spatial resources and observation length.
