摘要
目的:探索一种可以良好抑制动目标干扰的超宽谱(ultra wide band,UWB)雷达呼吸运动检测算法。方法:利用多通道奇异谱分析(multichannel singular spectrum analysis,MSSA)技术并根据呼吸回波的周期性和距离单元信号相关性的特性进行超宽带呼吸运动回波自适应重构,从而实现动目标干扰有效抑制。结果:在雷达实测数据实验中,该方法抑制动目标干扰的性能明显优于奇异值分解(singular value decomposition,SVD)等参考算法,所得信噪杂比(signal to noise-and-clutter radio,SNCR)高于参考算法。结论:该基于自适应-MSSA的呼吸运动检测算法能够较好地抑制动目标干扰,在UWB雷达研究中具有重要应用价值。
Objective To develop an UWB radar respiratory.-motion detection （RMD） algorithm that can eliminate moving target interference effectively. Methods The adaptive reconstruction of respiratory-motion response detected by UWB radar was realized by applying the multichannel singular spectrum analysis （MSSA） technique according to the periodicity and range interrelation characteristics of the response, which eliminated moving target interference effectively. Results In the experiment based on real UWB radar, the proposed method made much better performance on eliminating moving target interference than the reference algorithms, e.g. the singular value decomposition （SVD） based algorithm. Besides, the signal-noise-clutter-ratio （SNCR） of radar echo processed by the proposed method was also higher than that by the reference algorithms. Conclusion The RMD algorithm based on adaptive-MSSA proposed can eliminate moving target interference in the respiratory motion response effectively, which has a promising value in the future research of UWB radar.
出处
《医疗卫生装备》
CAS
2016年第4期4-8,共5页
Chinese Medical Equipment Journal
基金
国家重大科研仪器设备研制专项(61327805)
国家科技支撑计划课题(2014BAK12B02)
