A Simple One-Bit Detector of Parametric Signals for IoT Applications
Guido De Angelis, Alessio De Angelis, Paolo Carbone · 2020
This paper proposes a low-complexity detector for periodic signals. The detection is performed by processing one-bit quantized data. A generalized likelihood ratio test (GLRT) is derived, which is based on parametric estimates of the amplitude and phase of a periodic signal. The performance of the developed detector is evaluated by numerical simulations. The impact of noise and threshold selection on detection performance and promptness of response are also numerically analyzed, thus validating the proposed approach. Given its implementation simplicity, the proposed detector does not require high-resolution circuitry nor computationally-intensive hardware. Therefore, it could enable novel applications in the Internet of Things domain, such as low-cost radar systems and sensor networks.