A signal detection system using noise statistical processing is proposed. By approaching the problems of low voltage and high noise from miniaturization of a device from a stochastic point of view, a faint-signal receiving system that can effectively detect subthreshold and noise level signals has been developed. In addition, an alternative to statistical processing is proposed, and would be successfully implemented on a circuit. For the proposed signal detection method, the detection sensitivity was investigated using numerical simulation, and the detection sensitivity was sufficiently high to detect even a signal with a signal-to-inherent-noise ratio of -14 dB. Thus, it is anticipated that the application of this system to an integrated circuit will have a significant impact on signal processing.

This paper introduces several techniques for achieving RF and analog CMOS circuits for wireless communication systems under ultra-low-voltage supply, such as 0.5 V. Forward body biasing and inverter-based circuit techniques were applied in the design of a feedforward Δ-ΣA/D modulator operating with a 0.5 V supply. Transformer utilization is also presented as an inductor area reduction technique. In addition, application of stochastic resonance to A/D conversion is discussed as a future technology.