MIMO and beamforming techniques for reliable off-body communication using textile antennas

Wireless communication systems with textile antennas can be entirely integrated into clothing or garment and do not hinder the user’s movements. Great interest in such an off-body communication system exists in the field of rescue operations, such as firefighting, where the automated communication of vital data between rescue workers or to a base station improves the coordination of the operation and the safety of the rescue workers. To set up a reliable wireless off-body communication link, a number of specific challenges need to be overcome. Persons equipped with wearable antennas constantly change position, orientation, walking pace and body posture. This results in unpredictably variable fading and shadowing on the received signals, producing bit errors, even in case of a high average received signal-to-noise ratio. Fading and shadowing hence dramatically limit the reliability of a communication system with single antennas at both link ends. Using multiple textile antennas, the performance degradation is drastically limited, by means of MIMO and/or beamforming techniques, which mitigate the signal variation and/or produce a higher average signal-to-noise ratio at the receiver, respectively. The research documented in this PhD thesis includes multiple measurement campaigns and their analysis for a diverse number of off-body communication configurations, using MIMO and beamforming techniques with textile antennas. Off-body MIMO techniques are shown to result in a significant improvement of the reliability of the communication, an improvement which further increases when more antennas are used. Channel variation typically of the off-body scenario is tracked with a computationally low-cost system, using adaptive digital low-pass filtering on decision-oriented channel estimation information. Off-body static beamforming techniques are shown to often outperform transmit diversity systems, producing a lower bit error rate at the receiver, provided that receiver diversity is employed to compensate for the channel variation. Finally, a new theoretical model specifically for the off-body MIMO communication channel is presented, allowing an accurate reproduction of bit error rate and channel capacity characteristics as well as the generation of measurement-like random off-body MIMO channel realizations for simulation purposes