This work studies a point-to-point MIMO uplink in which user equipment transmits data to a base station employing a massive array. Signal detection is noncoherent and fading is assumed to follow the Weichselberger model. By exploiting the spatial stationarity of fading at the base station, a cyclostationary structure emerges naturally in the space-time representation, which suggests formulating the statistical properties of the received signal in the Karhunen-Loève domain. This allows the derivation of a low-complexity receiver that approximates maximum likelihood detection even for a moderate array size. The spectral analysis of the problem provides valuable insights on the design of space-time codewords.

翻译：本文研究点对点多输入多输出（MIMO）上行链路，其中用户设备向配备大规模天线的基站传输数据。信号检测采用非相干方式，且假设信道衰落服从魏希塞尔贝格尔模型。通过利用基站处衰落的空域平稳性，时空表示中自然出现循环平稳结构，这促使在卡亨南-洛维域中建立接收信号的统计特性模型。由此可推导出低复杂度接收机，即使对于中等规模阵列，也能逼近最大似然检测性能。对该问题的谱分析为时空码字设计提供了重要见解。