本論文主旨乃以超寬頻脈衝雷達系統實現非接觸式感測人體生理資訊，如呼吸及心跳頻率，此系統可以用於無線健康照護或辨識生命跡象。傳送端每秒產生並發射一百億個高斯脈衝至待測者，脈衝碰到人體後反射回接收端，接收端直接取樣射頻的無線訊號，其中十六通道的分時並行式類比數位轉換器可以獲得等效每秒兩百億個取樣頻率，系統處理接收訊號後擷取出呼吸及心跳的資訊。我們建構了一接收端架構可以有效的對訊號進行後續處理並依序取出呼吸及心跳頻率；此外，本架構並不需要傳送波形的資訊以及省去了分時並行式類比數位轉換器的資料校正。基於呼吸頻率及心跳頻率估計的均方根偏差之數值評估亦在此討論。最後，本論文展示了利用本架構實作的原型實體。

In this thesis, we develop an ultra-wideband (UWB) pulse radar system for non-contact vital sign detection such as respiration or heartbeats rates. The system can be applied for wireless healthcare monitoring or life identification. The transmitter generates and sends 10-GSamples/s periodic Gaussian pulses towards the person under monitoring. The pulses arrive at the person and reflect back to the receiver. The receiver samples the reflected signal in RF domain directly by time-interleaved sampling. The 16-channel time-interleaved analog-to-digital converters (TIADC) lead to equivalent sampling rate of 20-GSamples/s. The respiration information and heartbeats information are captured in the reflected signal and is processed by the system. We have developed a scheme at the receiver to post-process the signals efficiently and extract the respiration rate and the heartbeats rate successively. Furthermore, the proposed scheme does not require prior knowledge of the pulse waveform and save the calibration for TIADC. The numerical evaluation based on the root-mean-square deviations (RMSD) of the estimated respiration rate and the estimated heartbeat rate is also presented. In the final part, a real prototype based on the proposed scheme is implemented for the real-time demonstration.

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