Study Of The Diagnosing And Detecting Technology Based On The Specific Electromagnetic Wave Signal

A lot of characteristic information can be obtained by diagnosing and detectingthe specific electromagnetic wave signals carried by the subject. There are two meansto obtain the specific electromagnetic wave signals. One is passive detection, which isthe detector detects the specific electromagnetic wave signals transmitted by thesubject and then analyze the signals to diagnose the characters of the subject; The othermean is active detection, which is the specific electromagnetic wave signals acts on thesubject and the detector detects the modulated electromagnetic wave signals whichcarrying characters of the subject, and then analyze the modulated signals to find thecharacters of the subject.In this thesis, the author selected several typical electromagnetic signals as thetool to study the methods of detecting and diagnosing based on the electromagneticspectrum. These researches cover three aspects: the miniaturized X-ray diode(XRD)detector used for laser-produced plasma diagnosis in Inertia Constrain Fusion(ICF);the millimeter wave front-end technique used for measuring the speed of wide arranges;the methods and technique of attitude identifying about the high speed flying objectbased on microwave.The miniaturized XRD detector for detecting the soft X-ray which FWHM(FullWave at Half Maximum) of response time is subnanosecond level. The results showthat the detector's FWHM of response time is less than 60 ps, linear current is greaterthan 5A and the sensitivity of the miniaturized X-ray diode(XRD) detector is4.13×10^-4～1.26×10^-6 C/J when the X-ray's energy is at 150～5000eV.The 95GHz millimeter wave interferometer front-end for speed detecting is basedon the the Doppler Effect. It adopts the key technology of PLL(phase loop lock) forthe source, restraining for the leaking and two mixing and detecting for the receiver. Itsstability can reach 1.05×10^-6 Hz/h, and the Vp-p output level of video signal is greaterthan 2V, and the static is lower than 15mV. The range of the speed detected by themillimeter wave interferometer front-end is about 1 to 2000 mps. This thesis brings forward two methods to identify the attitude of flying objectbased on microwave and MEMS accelerometer. The first is to install a linear polarizedmicrowave antenna and a high-sensitivity MEMS gravitational accelerometer on theflying object. The antenna receives the target parameter and the two dimensionorientation benchmark of the earth transfered from the microwave transmitter on theground. The MCU data-processing module would calculate the rolling-angular of theflying object, and then create the dictate using to modify the trajectory. The secondmethod is to install a circularly polarized microwave antenna and severallow-sensitivity MEMS gravitational accelerometers on the flying object. The antennareceives the target parameter emitted from the microwave transmitter on the ground.The MCU data-processing module would calculate the rolling-angular and then createthe dictate using to modify the trajectory. The MCU data-process module based on thetwo methods has advantages of high speed of attitude identification, low cost, smallvolume and strong ability of anti-overlord, and the error of the rolling-angularcalculation is less than 1°.