在醫療照護應用中，調頻連續波(FMCW)雷達已被廣泛應用於非接觸式的生命體徵監測系統中。在本文中提出了一種生命體徵監測方案，可以在多路徑傳播環境的情況下，使用有限的通道資訊來以單輸入多輸出(SIMO)的FMCW雷達偵測多個目標的生命體徵(心律及呼吸頻率)。在所提出的方法中，多路徑效應的消除是藉由使用多通道的奇異譜分析(MSSA)方法，將生命體徵訊號從有多路徑效應中的訊號分解出來；之後再使用旋轉不變技術訊號參數估測演算法(ESPRIT)來估計心跳及呼吸的頻率。從模擬結果證實，所提出的方法在多路徑傳播環境中依然具有優秀的效能表現。

Frequency-modulation continuous wave (FMCW) radar has been employed to implement a non-contact vital sign monitoring system for future healthcare applications. This thesis proposes a multi-target vital sign (heart rate and breath rate) detection scheme with limited channel information for single-input multiple-output (SIMO)-FMCW radar systems in multipath propagation environments. In the proposed method, multipath effect mitigation is first achieved by the decomposition of vital sign signals from self- and mutual-multipath interferences using the multichannel singular spectrum analysis (MSSA) algorithm. Then, the desired vital signs are estimated via the estimation of signal parameters via rotational invariance technique (ESPRIT). Simulation shows that the proposed scheme achieves superior performance in terms of the estimation error in multipath propagation environments.

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