AI 中文总结
针对低成本节点无线传感器网络的未知确定性信号分布式检测问题，提出含观测费舍尔信息变体的得分检验作为GLRT的低复杂度替代，通过感知信道优化量化器提升渐近检测性能，仿真验证其在实际无线环境下的适用性。
AI 中文摘要
研究在低成本节点组成的无线传感器网络中对未知确定性信号的分布式检测问题。传感器对含噪观测值进行1比特量化后，通过瑞利衰落信道传输至融合中心（FC）。提出含观测费舍尔信息变体的得分检验，作为广义似然比检验（GLRT）的低复杂度替代方案；融合中心执行联合解码与融合，以感知信道的方式优化量化器，提升渐近检测性能。仿真结果证实，在实际无线环境下，基于得分的检验具有良好适用性。
英文摘要
Distributed detection of an unknown deterministic signal is studied in a wireless sensor network with low-cost nodes. Sensors apply one-bit quantization to noisy observations and transmit over Rayleigh fading to a Fusion Center (FC). Score tests, including variants using observed Fisher information, are proposed as low-complexity alternatives to the generalized likelihood ratio test (GLRT). The FC performs joint decoding and fusion, optimizing quantizers in a channel-aware manner to improve asymptotic detection performance. Simulations confirm the appeal of score-based tests under realistic wireless conditions.
Journal refIEEE Signal Processing Letters 2025, Vol. 32, pp. 2952-2956
