Difference Processing Framework for Noncoherent MIMO With Energy or Differential Detection

The noncoherent multiple-input multiple-output (MIMO) system is inevitably subject to cross-product interference among different spatial channels, arising the problem on solution of nonlinear model. In this letter, we propose a common difference processing framework based on dual-frequency complementary (DFC) waveform, aiming to generate an opposite cross-product term to eliminate interference. Thus, it can turn the nonlinear MIMO model into a linear one to facilitate the use of linear detectors. In our framework, two linear models are derived for MIMO with energy detection (ED) and differential detection (DD). Finally, through the complexity analysis of detectors and performance simulation results, the proposed framework is demonstrated to be a proper candidate for low-complexity implementation of noncoherent spatial multiplexing.