电磁波生命探测方法研究
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摘要
近年来,伴随着城市化进程的加快,城市的高大建筑日趋增多,钢筋混凝土结构占主导地位,各种管道、线路交错纵横的密度加大,以及城市人口密集等问题,使自然或人为灾害等各类突发事件的潜在危险与日俱增,一旦发生,将会造成人民生命财产的巨大损失。国内外多次大震后抢救生命的事实证明:对压埋人员抢救愈及时,救生、救活的可能性愈大。因此,为确保在紧急救援中用最短的时间找到被困人员,开展先进的生命救助探测与定位方法研究具有十分重要的意义。生命探测就是采用各种方法和手段来获取呼吸、心跳等生命信号并进行分析,从而判定生命体的存在与否,存活与否。电磁波探测不易受温度、热物体、声音等干扰,在生命搜索方面越来越引起人们的关注。
     人体生命信号的检测实际上就是低速运动目标检测,运动目标检测就要用到多普勒效应,多普勒雷达发送连续的电磁波信号到被探测对象,返回的信号被调制而具有被探测对象运动的信息,因此只要解调出返回信号就可以获得人体生命信息;通过对探地雷达隔墙实测生命信号处理,分离出的呼吸、心跳信号符合人体生命信息。超宽带雷达目标信号的高分辨率距离像方法利用多散射中心概念,将人体不同部位作为不同散射点,通过距离的不同检测出人体生命信号。
     本文系统介绍了连续波生命探测雷达的工作原理,分析运用了多普勒原理实现生命信号探测的理论依据,通过对生命信号和杂波的分析和建模,深刻了解了生命信号和杂波的特性;对实测的探地雷达回波信号做了详细的分析处理,重点介绍了数字滤波以及时频转换后的回波信号;最后讨论了超宽带理论,超宽带雷达发射信号的特点并在理论研究的基础上根据超宽带雷达目标的特性建立了人体探测的模型,仿真分析了在坐姿、躺姿不同姿态下呼气吸气的回波信号,并引用文献作为参考对照,证明了超宽带雷达目标信号的高分辨率距离像方法探测人体生命信号的有效性和可靠性。
In recent years, with the acceleration of urbanization, more and more high rise buildings are being built. The reinforced concrete structure is dominant. The density of various pipelines and wirings is increasing as well as that of the population of the city, all of which increases the potential danger of various natural or man-made disasters day by day. Any incident would cause the big losses of both people’s lives and properties. It proves after many life-saving home and abroad that the more timely to rescue the buried, the more possible to save the life. Therefore, it is with a great significance to launch the research on the advanced method of life-saving detection and location, which assures the shortest time in searching the buried.
     To begin with, the detecting of signals of human life, actually, is target detection of low-speed motion by the way of Doppler effects in which Doppler radar sends continuous signals to detecting object. It is possible to receive information of human life once return signals own movable information of detecting object after modulation. Then, the separating signals of breath and heartbeat may accord with the information of human life by the treatment of life signals from ground penetrating radar in partition wall measurement. Signals of human life can be received through different distances by the way of multiple scatter center of UWB Radar which owns high resolution and view different human body as different scattering centers.
     This paper systematically introduces the principle of work of CW radar detector. The analysis depends on the theory of Doppler signal detection method for life. Deep understanding about the characteristics of life signals and clutters could be achieved by analyzing and modeling the life signals and clutters. The paper make the detailed analysis on actually measured life radar echoed signals, focusing on the processing of digital filter and the echoed signals got after time-frequency transition. In the last, the paper discusses the ultra wideband theory and the characteristics of ultra-wideband radar signals and establishes the body detection model based on the theory study according to the characteristics of the ultra-wideband radar target. The echoed signals analyzed in this paper are obtained under the breath inhaling condition and contrasted by the quoted references, proving the validity and reliability of high resolution range image of ultra-wideband radar target signal on life detection.
引文
[1]万永革等.数字信号处理的MATLAB实现[M].北京:科学出版社,2007.
    [2]粟毅、黄春琳、雷文太.探地雷达原理与应用[M].北京:科学出版社,2006.9.
    [3]张明友、汪学刚.雷达系统[M].北京:电子工业出版社,2006.1.
    [4]张双狮、祝忠明、王绪本.超宽带搜救雷达发射信号及径向分辨力研究[J].现代雷达,2006,卷28(5):12-15.
    [5] A.S.Bugaev.Through wall Sensing of Human Breathing and Heart Beating by Monochromatic Radar[A]. Tenth International Conferebce on Ground Penetrating Radar,21-24 January/February 1996,P16-29.
    [6]杰里L.伊伏斯,爱德华K.里迪编,《现代雷达原理》[M].卓荣邦等译.北京:电子工业出版社,1991.
    [7] A.S.Bugaev.Through wall Sensing of Human Breathing and Heart Beating by Monochromatic Radar[A]. Tenth International Conferebce on Ground Penetrating Radar,21-24 June/February,2004,pp:291-294.
    [8] Merrill I.Skolnik主编.雷达手册[M].王军,林强,米慈中等译.第二版.北京:电子工业出版社,2005年8月.
    [9] (美)法拉纳克·尼库加.超宽带通信原理及应用[M] .西安:西安交通大学出版社,2007.
    [10]黄德双.高分辨雷达智能信号处理技术[M].北京:机械工业出版社,2001.2.
    [11]张双狮.伪随机编码脉冲在UWB搜救雷达中的应用[D].成都:成都理工大学,2006.4.
    [12] Maria_Cabriella Di Benedetto Guerino Giancola.超宽带无线电基础[M].电子工业出版社,2005.5.
    [13]赖敏.超宽带搜救雷达的编码信号研究[D].成都:成都理工大学,2008.4.
    [14] (美)美.斯科尼克(Merrill I.Skolnik) .雷达手册[M].北京:电子工业出版社,2003.
    [15]付红卫,王斌科,戴国宪等.微功率冲激雷达的运动目标检测原理[J].现代雷达.1992,21(5):57-61.
    [16]楼顺天,刘小东编著《基于MATLAB的系统分析与设计》[M].西安电子科技大学出版社,2005.
    [17]蔡希尧.雷达系统概论[M].北京:科学出版社,1983.
    [18]向敬成,等.雷达系统[M].北京:电子工业出版社,2001.5,112~150.
    [19] Soumya Nag,Mark A.Barnes,etc. An Ultral-Wideband Through-Wall Radar for Detecting the Motion of People in Real Time[J]. SPIE Vol.4744(2002),48~57.
    [20]路国华.生物雷达目标信息识别技术的实验研究[D].西安:第四军医大学,2005.5.
    [21] Mcewan, Thomas E. (Livermore, CA) "Body monitoring and image apparatns and method" The Regents of the University of California (Oakland, CA) 11/12/1996.
    [22] M. Win and R. A. Scholtz, "Impulse radio: How it works," IEEE Commun. Lett. vol. 2(1), pp. 10-12, Jan. 1998. J
    [23] Staderini, E.M.."UWB Radar in Medicine" Rome University Aerospace and Electronic Systems Magazine, IEEE Jan 2002 .
    [24] Azevedo, S.McEwan, T.E."Micropower Impulse Radar" Lawrence Livermore Nat. Lab., California Univ., CA, USA;Apr/May 1997.
    [25] (美)Bhag Singh Guru等著《电磁场与电磁波》[M].北京:机械工业出版社,2005.
    [26] Kwan H K, Lee C K. A neural network app roach to pulse radar detection. IEEE Trans. On Aerospace and Electronic System. 1993,AES-29: 9– 21.
    [27]苗剑.超宽带(UWB)无线通信技术:[D].西安:西安电子科技大学,2004.
    [28]王运飞,王经瑾,刘国治.时频分析在超宽带散射信号处理中的应用[J].强激光与粒子束. 2003,15(7):689~693.
    [29] Taylor JD.Introduction to ultra-wideband radar systems[M].CRC press,1995.
    [30] Recent application of Ultra Wide-Band Radar and Communications System. http://www.multispectra.com.
    [31]顾建华,邹其嘉,卢寿德等.紧急救援有关问题的探讨与思考[J].国际地震动态. 2003(3).
    [32]孔平,任利生.地震应急救助技术与装备概况[M].北京:地震出版社. 2001(1).
    [33]李桂莲,董梅等.地震现场研究和救援的国际动态综述[J].地震科技情报. 2001(7):16~19.
    [34] Nasser J. Mohamed,“High-Resolution Ultral-Wideband Radars”,CRC Press LLC,2001:47~73.
    [35] J.D. Taylor,“Ultra wideband Radar”1991 IEEE MTT-D International Microwave Symposium Digest Part 1,Boston,MA,USA,Jume5-7,1991,pp.367~370.
    [36] UWB雷达人体探测[D].北京:北京邮电大学,2005.6.
    [37]黄培康,段红成,许少剑.雷达目标特性[M].北京:电子工业出版社. 2005:231~280.
    [38]李刚. LFMCW生命探测雷达信号处理技术研究[D].西安:西北工业大学.
    [39]张陆勇,王小玉,周正.新颖的超宽带SSCI合成脉冲信号的最佳设计方法.电子与信息学报. 27(4):2005(4)505-508北京邮电大学电信工程学院.
    [40] David D Ferris Jr.,Nicholas C Currie,.Microwave and Millimeter Wave Systems for Wall Penetration [J] SPIE Conference on Targets and Backgrounds , Characterization and Representation IV( SPIE Vol.:3375)[C].F1 on da,Orlando,1998 .269-279.
    [41] ASTM D6432-99,Standard Guide for Using the Surface Ground Penetrating Radar for Subsurface Investigation [s].
    [42] Hunt, A. R. and W. Foreman, "Feasibility of Using Impulse Radar to Detect and Identify Concealed Weapons," The American Defense Preparedness Association Conference, June 1997.
    [43] Office of Navy research Department of Navy. Final Techniqueal Report of Target Identification and Detection Using Impulse Radars or UWB Radars . 1996,10,152~218 .
    [44] Chun Lin, Xuben Wang, Qianying Zou and Lifeng Mao. The Study of UWB Electromagnetic Wave Decaying Property on the Axis of Rectangular Aperture Antennas. The 2nd International Conference on Environmental and Engineering Geophysics, 2006(6).
    [45]顾昌展.基于微波多普勒方法的非接触生命信号探测[D].杭州:浙江大学,2008.6.
    [46] Ce Liu, Liang C. Shen. Numerical simulation of Subsurface Radar for Detecting Buried Pipes. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING. VOL. 29 NO.5, SEP.1991 795~797
    [47] Stanislav Vitebskiy, Lawrence Carin,Marc A. Ressler,Francis H.Le.Ultra-Wideband Short-pulse Ground-Penetrating Radar: Simulation and Measurement. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING. VOL. 35 NO.3, MAY 1997 762~772.
    [48] Walter Hirt,Ultra-wideband radio technology: overview and future research, Computer Communications,26 (2003) 46~52.
    [49] R.KAPOOR,N.NANDHAKUMAR. Features for Detecting Objects in Ultral-Wideband(UWB) SAR Imagery Using a Phenomenological Approach. Pattern Recognition,Vol.29,No.11,pp.1761~1774,1996.
    [50]欧阳永艳,樊祥宁,徐平平等.超宽带无线电中纳秒级脉冲产生研究[J].电子技术应用. 2003(7)44~45.
    [51]牛犇.生命探测雷达信号识别方法研究. [D].西安:西安电子科技大学,2006.1.
    [52]李建军.生命探测雷达信号处理算法研究[D].西安:西安电子科技大学,2006.1.
    [53]孟祥青.雷达目标回波信号特性分析及仿真[D].南京:河海大学,2007.3.
    [54]杨东.基于非接触生命参数检测系统的信号处理技术研究[D].西安:第四军医大学,2005.5.
    [55]景占荣,羊彦.信号检测与估计[M].北京:化学工业出版社,2004.
    [56]丁玉美,高西全.数字信号处理[M].西安:西安电子科技大学出版社,2000.10.
    [57]赵尔沅等.数字信号处理实用教程[M].北京:人民邮电出版社,1999.
    [58]刘永坦等.雷达成像技术[M].哈尔滨:哈尔滨工业大学出版社,1999.
    [59]李道本著.信号的统计检测与估计理论[M].北京:科学出版社,2004.
    [60] (美)约翰,·G.普罗克斯(John G.Proakis), (美)马苏德.现代通信系统:使用MATLAB[M].西安:西安交通大学出版社,2001.
    [61]胡广书.数字信号处理导论[M].北京:清华大学出版社,2005.
    [62]申普兵等.数字通信[M].长沙:国防科技大学出版社,2001.
    [63] (美)维纳·K·恩格尔[Vinay K. Ingle], (美)约翰·G.数字信号处理:使用MATLAB[M].西安:西安交通大学出版社,2002.
    [64]飞思科技产品研发中心. MATLAB 6.5辅助小波分析与应用[M].北京:电子工业出版社,2003.
    [65]郑治真等.小波变换及其MATLAB工具的应用[M].北京:地震出版社,2001.
    [66]薛年喜等. MATLAB在数字信号处理中的应用[M].北京:清华大学出版社,2003.
    [67]邹鲲,袁俊泉,龚亨铱. MATLAB 6.x信号处理[M].北京:清华大学出版社,2002.
    [68]吴镇扬.数字信号处理[M].北京:高等教育出版社,2004.
    [69]陈怀琛编著《MATLAB及其在理工课程中的应用指南》[M].西安:西安电子科技大学出版社,2002.
    [70]杨儒贵.电磁场与电磁波[M].北京:高等教育出版社,2003.
    [71] (美) William H. Hayt, Jr., John A. Buck.工程电磁学[M].北京:电子工业出版社,2003.
    [72]曹伟,徐立勤.电磁场与电磁波理论[M].北京:北京邮电大学出版社,1999.
    [73]陈亚勇. MATLAB信号处理详解[M].北京:人民邮电出版社,2001.
    [74]孙兆林. MATLAB 6.x图像处理[M].北京:清华大学出版社,2002.
    [75]范影乐等. MATLAB仿真应用详解[M].北京:人民邮电出版社,2001.
    [76]张志涌,徐彦琴等编著《MATLAB教程》[M].北京:北京航空航天大学出版社,2002.
    [77]储钟圻主编《数字通信导论》机械工业出版社,北京:机械工业出版社,2002.

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