Smart Detection Using the Cascaded Artificial Neural Network for OFDM With Subcarrier Number Modulation

Since the proposal of orthogonal frequency-division multiplexing with subcarrier number modulation (OFDM-SNM), high detection complexity this novel scheme becomes a major issue degrading its applicability in practice. To provide an easy-to-implement and low-complexity solution to OFDM-SNM signal, we design cascaded artificial neural network (CANN) at receiver decouple pattern (SNP) constellation symbols on active subcarriers. This is first time that CANN introduced assist detecting parallel signals. Numerical simulations verify effectiveness efficiency proposed smart show based adequate training can yield comparable error performance optimal maximum-likelihood much lower complexity.