Wavelet-Enabled Reconfigurable On-Chip Antenna System for Ultra-Low-Power Wearable Health Telemetry
DOI:
https://doi.org/10.31838/NJAP/07.02.33Keywords:
Reconfigurable on-chip antenna, wavelet-domain EM sensing, adaptive wearable telemetry, ultra-low-power RF systems, SAR evaluation, EM propagation analysis, intelligent antenna designAbstract
The wearable health telemetry systems require antenna designs with the ability of stable operation in dynamically changing on-body propagation conditions, stringent energy constraints, and diverse human tissue dielectric characteristics. Traditional wearable antennas suffer detuning, distortion of patterns and low efficiency in the near vicinity of the human body and lead to unstable communication connections and high power. In spite of the fact that reconfigurable antennas address some of these concerns, the switch that they depend on is hardware-only, thus restricting their flexibility and ability to react to real-time electromagnetic (EM) noise. In this paper, we present a proposal of a wavelet based reconfigurable on-chip antenna system, combining multi-resolution EM feature extraction with the low-power intelligent reconfigurable mechanisms. It includes an integrated wavelet processing engine (WPE) that is capable of analysing transient propagation variations by analysing EM feedback signals, and dynamically adjusting the frequency, impedance and radiations of the antenna, with very low computational cost. The simulation outcome shows large improvements: the stability of return-loss is improved by more than -18 dB in various tissue-loading conditions, the radiating efficiency is improved by 31% and a telemetry power is also reduced by 42% in comparison with traditional designs. IEEE and FCC safe operation is confirmed with peak values of less than 1.37W/kg by SAR evaluation. These results present a new category of self-adaptable, ultra-low-energy amenities, antenna apparatuses that are applicable to perpetual physiological telemetry, wearable internet of things gadgets, and human-centric wireless. networks.
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