PROJECT TITLE :

A 65-nm CMOS Low-Power Impulse Radar System for Human Respiratory Feature Extraction and Diagnosis on Respiratory Diseases

ABSTRACT:

This paper presents a radar system for extracting human respiratory options. The proposed radar chip comprises 3 major parts: a digital-to-time converter (DTC), a transmitter, and a receiver. The all-digital standard cell-based mostly DTC achieves a timing resolution of ten ps on a one hundred-ns time scale, supporting a range-gated sensing process. The transmitter is composed of a digital pulse generator. The receiver contains a right away-sampling passive frontend for achieving high linearity, an integrator for enhancing the signal-to-noise ratio, and a successive approximation register analog-to-digital converter for signal quantization. A absolutely integrated CMOS impulse radar chip was fabricated using sixty five-nm CMOS technology, and the whole power consumption is twenty one mW. In the backend, a true-time digital signal-processing platform captures human respiratory waveforms via the radar chip and processes the waveforms by applying somebody's respiratory feature extraction algorithm. Furthermore, a clinical trial was conducted for establishing a brand new diagnosis workflow for identifying respiratory diseases by the proposed wireless sensor system. The proposed system was validated by applying an adaptive network-primarily based fuzzy inference system and support vector machine algorithm to the clinical trial results. These algorithms confirmed the effectiveness of the proposed system in diagnosing respiratory diseases.