Improved human respiration detection method via ultra-wideband radar in through-wall or other similar conditions

In this study, a quasi-real-time human respiration detection method with prominent signal-to-noise-and-clutter ratio (SNCR) improvement is proposed to increase performance of ultra-wideband rescue radar under the low SNCR conditions such as through-wall or other similar conditions. Three main steps of the proposed method are designed for the purpose of effectively removing stationary clutter, suppressing non-stationary interference from other moving subject and improving the contrast between respiration response and clutter. Meanwhile, the proposed method satisfies the requirement of quasi-real time as its time cost implemented in MATLAB is only 2 s. Experiments are carried out in through-wall/floors/artificial-ruin conditions, and results show that the proposed method outperforms the previously proposed method, and it can be a good choice for human respiration detection in complex scenarios due to the prominent SNCR improvement.