Damaged signal including blanking the signal affected by impulsive noise (IN) or the partial signal absorbed in the metallic materials such as metallic pillars occurs in the intelligent manufacturing scenario. For example, Automated Guided Vehicles (AGV) as mobile robots are widely utilized to transport products in the smart factory. However, in harsh industrial environment such as warehouse which is stored heavy metal machines, partial transmission signal is absorbed in the metallic materials. On the other hand, IN occurs when the energy of the IN is very large.
The proposed system which is called the combination of OFDM-SML and Blanking (OFDM-SMLB) is utilized to mitigate the impact of the IN. At the receiver side, blank the partial signal which is larger than the threshold decided by Constant False-Alarm Rate (CFAR). Then SML method is utilized to recover the damaged signal with acceptable complexity after blanking. On the other hand, OFDM-SML itself can recover the original signal based on the remaining signal due to absorption.
The simulated results showed that OFDM-SML using Minimum Mean Square Error (MMSE) and Zero Forcing (ZF) can obtain better Bit Error Rate (BER) performance than that of the conventional OFDM system when 1/8, 1/4 and 1/2 time-domain signal are missing. Moreover, OFDM-SMLB cannot only obtain better BER performance compared to that conventional OFDM with blanking systems, but also obtain flexible BER value with acceptable complexity.