目的:从生物雷达非接触检测到的呼吸和心跳的混合信号中有效地分离出心跳信号。方法:利用基于RLS算法的自适应噪声抵消器,提出一种分离心跳信号和呼吸信号的方法。结果:采用基于RLS算法的自适应抵消器能够分离出心跳信号,其心率与从心电信号获得的心率具有很强相关性(γ2=0.95,P<0.000 1)。结论:该文提出的分离心跳信号的方法具有较好的实用性,有望实现呼吸和心跳信号的实时分离。 OBJECTIVE: To effectively separate the heartbeat signals from the mixed breath and heartbeat signals detected by non-contact biological radar. Methods: A self-adaptive noise canceller based on RLS algorithm was proposed to separate heartbeat and respiratory signals. Results: The adaptive canceler based on RLS algorithm can separate the heartbeat signal, and its heart rate has a strong correlation with the heart rate obtained from ECG (γ2 = 0.95, P <0.0001). Conclusion: The proposed method of separating heartbeat signals has good practicability and is expected to realize the real-time separation of respiration and heartbeat signals.