Dynamic Digital Signal Processing Algorithm for Vital Signs Extraction in Continuous-Wave Radars

Radar systems have been widely explored as a monitoring tool able to assess the subject’s vital signs remotely. However, their implementation in real application scenarios is not straightforward. Received signals encompass parasitic reflections that occur in the monitoring environment. Generally, those parasitic components, often treated as a complex DC (CDC) offsets, must be removed in order to correctly extract the bio-signals information. Fitting methods can be used, but their implementation were revealed to be challenging when bio-signals are weak or when these parasitic reflections arise from non-static targets, changing the CDC offset properties over time. In this work, we propose a dynamic digital signal processing algorithm to extract the vital signs from radar systems. This algorithm includes a novel arc fitting method to estimate the CDC offsets on the received signal. The method revealed being robust to weaker signals, presenting a success rate of 95%, irrespective of the considered monitoring conditions. Furthermore, the proposed algorithm is able to adapt to slow changes in the propagation environment.

Digital Signal Processing Algorithm for Measurement of Settling Time of High-Resolution High-Speed DACs

The paper presents the developed complex Digital Signal Processing algorithm for the reduction of white and 1/f noise and processing of the measurement signals of the Settling Time Measurement of the Digital-to-Analog Converters. The results show that the proposed DSP algorithm ensures 100-fold suppression of the white noise and 1/f noise. It was shown that it is possible to measure settling times of highspeed DACs (up to 16-17 Bits) with readout levels of ± 0.5 LSB while measurement errors do no exceed ± 1.4 ns.

The Digital Signal Processing Algorithm Implemented on ARM Embedded System

Digital Signal Processing technology is an important tool for modern signal processing. The speedy development ARM embedded processor has powerful computed capability for digital signal processing algorithms. The paper provides a common hardware platform in recent years. In this paper, used assemble language to realize the algorithms and FIR Filter based on ARM-Linux embedded environment. The results shown that the ARM can quickly and efficiently complete a series of digital signal processing algorithms. Digital signal processing algorithm on ARM embedded system provides an effective way.