Dynamic range analysis of one-bit compressive sampling with time-varying thresholds

• Main Authors: Xiaofeng Zhu, Liang Huang, Ziqian Wang
• Format: Article
• Language: English
• Published: Wiley 2019-08-01
• Series: The Journal of Engineering
• Subjects: gaussian noise; analogue-digital conversion; quantisation (signal); signal sampling; dynamic range analysis; time-varying thresholds; statistical signal processing; maximum tolerable amplitudes; minimum detectable amplitudes; uniform quantisers; compressive sampling; analogue-to-digital converters; adc; standard deviations; word length 1.0 bit
• Online Access: https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0237

From the point of view of statistical signal processing, the dynamic range for one-bit quantisers with time-varying thresholds is studied. Maximum tolerable amplitudes, minimum detectable amplitudes and dynamic ranges of this one-bit sampling approach and uniform quantisers, such as N-bits analogue-to-digital converters (ADCs), are derived and simulated. The results reveal that like conventional ADCs, the dynamic ranges of one-bit sampling approach are linearly proportional to the Gaussian noise standard deviations, while one-bit sampling's dynamic ranges are lower than N-bits ADC under the same noise levels.