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超宽带雷达生命信号频率检测的Cramer-Rao下界 被引量：4

Cramer-Rao Lower Bound of Vital Signal Frequency Detection for Ultra Wideband Radar
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摘要 该文基于脉冲超宽带顺序信号模型和极大似然准则,结合Fisher信息矩阵和Cramer-Rao矩阵不等式,分析了UWB生命信号参数估计的泛化Cramer-Rao下界(CRLB)。根据等效时间采样原理,采用正弦位移函数近似生命微动信号,推导出了修正的UWB生命信号频率检测CRLB公式。仿真结果表明,增大观测时间、发射脉冲带宽以及系统信噪比可提高UWB雷达生命信号频率检测的精度。心跳信号检测比呼吸信号要求更高。 On the basis of the impulse Ultra Wide Band（UWB） sequential signal module and the Maximum Likelihood（ML） rule,the generalized Cramer-Rao Lower Bound（CRLB） for UWB vital signal parameter estimation is analyzed with the Fisher Information Matrix（FIM） and the Cramer-Rao matrix inequation.According to the equivalent time sampling principal,the improved CRLB formula of UWB vital signal frequency detection is derived by adopting a sinusoidal displacement function superseding the vital jiggle signal.The simulation results show that the frequency precision of UWB radar vital signal detection increases with increasing the survey time,the impulse bandwidth and the system SNR.The heartbeat detection demands more rigorous conditions than that of the respiration detection.
作者 戴舜 方广有
机构地区 中国科学院电子学研究所 中国科学院研究生院
出处 《电子与信息学报》 EI CSCD 北大核心 2011年第3期701-705,共5页 Journal of Electronics & Information Technology
基金 国家863计划项目(2007AA12Z124)资助课题
关键词 生命信号检测 超宽带 Cramer-Rao不等式 Fisher信息 等效时间采样 Vital signal detection UWB Cramer-Rao inequality Fisher information Equivalent time sampling
分类号 TN958 [电子电信—信号与信息处理]
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参考文献14

  • 1Bugaev A S, Vasil'ev I A, and Ivashov S I, et al.. Radar methods of detection of human breathing and heartbeat [J]. Journal of Communications Technology and Electronics, 2006 51(10): 1154-1168.
  • 2Anitori L, De Jone A, and Nennie F. FMCW radar for life-sign detection [C]. Proc of IEEE Radar Conference, Pasadena, USA, 4-8 May, 2009: 1-6.
  • 3Staderini E M. UWB radar in medicine [J]. IEEE AESS Systems Magazine, 2002, 17(1): 13-18.
  • 4Venkatesh S, Anderson C R, and Rivera N V, et al. Implementation and analysis of respiration-rate estimation using impulse-based UWR [C]. Proc of IEEE Military Communications Conference, Atlantic City, USA, 17-20 October, 2005, Vol.5: 3314-3320.
  • 5Baboli M, Ghorashi S A, and Saniei N, et al.. A new wavelet based algorithm for estimating respiratory motion rate using UWB radar [C]. Proc of International Conference on Biomedical and Pharmaceutical Engineering, Singapore, 2-4 December, 2009: 1-3.
  • 6谢义方,方广有.基于无载频脉冲雷达信号等幅度追踪法检测生命信号[J].电子与信息学报,2009,31(5):1132-1135. 被引量：8
  • 7Lazaro A, Girbau D, and Villarion R. Analysis of vital signs monitoring using an IR-UWB radar [J]. Progress in Electromagnetics Research, 2010, 100: 265-284.
  • 8Li Chang-zhi and Lin Jen-shan. A 1-9 GHz linear-widetuning-range quadrature ring oscillator in 130 nm CMOS for non-contact vital sign radar application [J]. IEEE Microwave and Wireless Components Letters, 2010, 20(1): 34-36.
  • 9Nezirovic A, Yarovoy A G, and Ligthart L P. Signal processing for improved detection of trapped victims using UWB radar [J]. IEEE Transactions on Geoscience and Remote Sensing, 2010, 48(4): 2005-2014.
  • 10Gezici S. Theoretical limits for estimation of periodic movements in pulse-based UWB system [J]. IEEE Journal of Selected Topic in Signal Processing, 2007, 1(3): 405-417.

二级参考文献23

  • 1Lehmann N H, Fishler E, and Haimovich A M, et al.. Evaluation of transmit diversity in MIMO-radar direction finding [J]. IEEE Trans. on SP, 2007, 55(5): 2215-2225.
  • 2Wang J, Dogandzic A, and Nehorai A. Maximum likelihood estimation of compound-gaussian clutter and target parameters [J]. IEEE Trans. on SP, 2006, 54(10): 3884-3898.
  • 3Balleri A, Nehorai A, and Wang J. Maximum likelihood estimation for compound-gaussian clutter with inverse gamma texture [J]. IEEE Trans. on AES, 2007, 43(2): 775-779.
  • 4Gini F, Montanari M, and Verrazzani L. Estimation of chirp radar signals in compound-gaussian clutter: A cyclostationary approach [J]. IEEE Trans. on SP, 2000, 48(4): 1029-1039.
  • 5Gini F and Reggiannini R. On the use of cramer-rao-like bounds in the presence of random nuisance parameters[J]. IEEE Trans. on Comm, 2000, 48(12): 2120-2126.
  • 6Kay S M. Fundamentals of Statistical Signal Processing: Estimation Theory. Englewood Cliffs, NJ: Prentice-Hall, 1993, Chapter 15.
  • 7Bekkerman I and Tabrikian J. Target detection and localization using MIMO radars and sonars [J]. IEEE Trans. on SP, 2006, 54(10): 3873-3883.
  • 8Li J and Stoica P. MIMO radar with colocated antennas IEEE SP Mag. [J]. 2007, 25(1): 106-114.
  • 9Fishler E, Haimovich A, and Blum R, et al.. MIMO radar: An idea whose time has come[C]. Proc. IEEE Radar Conf., Philadelphia, United States, Apr. 2004: 71-78.
  • 10Fishler E, Haimovich A, and Blum R, et al.. Spatial diversity in radars-Models and detection performance[J]. IEEE Trans. on SP, 2006, 54(3): 823-838.

共引文献11

同被引文献48

  • 1Changzhi Li,Cummings J,Lam J,et al.Radar remote monitoring of vital signs[J].IEEE Microwave Magazine,2009,10(1):47-56.
  • 2Baboli M,Ghorashi S A,Saniei N,et al.A new wavelet based algorithm for estimating respiratory motion rate using UWB radar[A].Proe of Intemational Conference on Biomedical and Pharmaceutical Engineering[C].Singapore,IEEE,2009.1-3.
  • 3Pavlov S N,Samkov S V.Algorithm of signal processing in Ultra-Wideband radar designed for remote measuring parameter of patient' s cardiac activity[A].2nd International Workshop on Ultrawideband and Ulatrashort Impulse Signal[C].IEEE,2004.205-207.
  • 4Lai C P,Narayanan R M,Ruan Q,et al.Hilbert-Huang transform analysis of human activities using through-wall noise and noise-like radar[J].IET Radar,Sonar & Navigation,2008,2(4):244-255.
  • 5Ershad Sharifaharndian,Alireza Ahmadian.Adaptive signal processing for remote detection of heart rate (HR) using UltraWideband waveforms based on principal component analysis[A].31th Annual international conference of the IEEE EMBS[C].Minneapolis,USA,IEEE,2009.5717-5720.
  • 6Venkatesh S,Anderson C R,Rivera N V,et al.Implementation and analysis of respiration-rate estimation using impulse-based UWB[A].Proc of IEEE Military Communications Conference[C].Atlantic City,USA,IEEE,2005,vol.5:3314-3320.
  • 7Nezirovic A,Yarovoy A G,Ligthart L P.Signal processing for improved detection of trapped victims using UWB radar[J].IEEE Transactions on Geoscience and Remote Sensing,2010,48(4):2005-2014.
  • 8Huang N E,Shen Z,Long S R.The emp iricalmode decomposition aad the Hilbert spectrum for nonlinear and non-stationary time series analysis[J].Proceeding of Royal Society London A,1998,(454):903-995.
  • 9HuangN E,Shen Z,Long S R.A new view of nonlinear water waves:The Hilbert spectrum[J].Annual Review of Fluid Mechanics,1999,(31):417-457.
  • 10Chauhan K K,Frost C G,Love I,et al.Indium triflate: an efficient catalyst for acylation reaction[J].Synlett,1999,(11): 1743-1744.

引证文献4

二级引证文献26

电子与信息学报
2011年 第3期

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