本論文乃開發一步態偵測之微波生醫雷達. 主要針對實驗室現有的兩套雷達系統設計訊號處理演算法,分別為一維四波束雷達系統以及二維波束雷達系統,驗證其空間切割之能力。而於一維四波束雷達系統上首先遇到的問題為無法將左右相鄰波束訊號做區分,但若是利用濾波器濾除低頻身體訊號後,即可發現左右波束接收到的手部訊號依然擁有強度上之差別,而藉由左右波束之頻率成分強度不同,將左右波束接收到的訊號區分開,接著將一維四波束雷達系統的演算法經驗代入二維波束雷達系統,發現可以順利區分手部之訊號但腿部訊號因為雙腿距離過近導致波束接收訊號重疊現象產生,故利用手腳關聯性來將雙腿訊號區分開來。實驗中僅使用了二維4×4總共十六個波束中的四個波束,以驗證其空間切割之能力,確認了中間四波束正常使用之後可以更進一步朝周圍的十二個波束發展,使得二維波束雷達系統更為全面可以偵測更多的人體動作。 This thesis focuses on the development of microwave bio-radar for gait detection. The signal processing algorithms are newly proposed for spatial separation. The problem first encountered is that the one-dimension four-beam radar system can’t separate signals from two adjacent channels. After using a digital filter to filter out low frequency body movements, the signal between adjacent channels still have some difference in magnitude. By examining the magnitude from different frequency contents, we can successfully separate the signals of left arm and right arm.The system is further extended from one-dimension four-beam radar system to two-dimension sixteen-beam radar system, aiming to capture the signals from more body parts. Although the signals from both left arm and right arm can be observed, the signals from legs cannot be distinguished due to larger RCSs. The correlation of arms and legs is therefore applied to solve this problem.This research only use the middle 2×2 four beams out from 4×4 sixteen beams to verify the ability of spatial separation. based on this outcome, we can enhance the spatial beam resolutions to detect more details of human gait motion.