Research On Radar Feature Of Human Micro-motion

Due to the complicated battlefield circumstance and the requirement of safety protection, disaster rescue, and military medical science, the study on the radar feature of human micro-motion is more and more highly regarded. This paper just studies the radar feature of human walking mode, the modulating function of limbs'swinging movement on the radar waves when walking, micro-Doppler feature analysis of human body, estimation of pace parameter, estimation of posture parameter, and identification of movement mode, etc.The paper first described the present situation of radar feature study of human micro-motion, laid out the content of this paper and raised the issues that need research.As for the modulating function of human micro-motion on radar wave, the paper raised human body linear structure model that is suitable for human body radar feature study based on the study of human-alike robot and virtual human, analyzed the kinematic track of each limb, deduced the radar echo of human walking and gave the resolution expression. Then, the paper extracted the micro-Doppler feature of walking human radar echo by applying time-frequency analysis means, studied the relationship between human motion parameter and micro-Doppler feature, and especially studied the micro-Doppler feature of key paces of human walking.As for extraction of human walking feature, the paper deeply studied the methods of feature parameter extraction and human pace parameter estimation raised by P. van Dorp, and applied them in field-measured data and thus extracted human micro-motion feature and estimated pace parameter; the paper also studied the inner relationship between human upper limb posture parameter and micro-Doppler feature,raised the method of extracting feature parameter from the micro-Doppler feature of the upper limbs of walking human and applied it to estimate upper limb posture parameter; then the paper raised the method and approach of estimating the posture parameter of lower limbs of walking human based on function approximation theory.As for human motion identification, the paper raised the distinguishing method based on micro-Doppler feature analysis and pace parameter estimation. The author firstly listed the time and space features of human running and compared them with those of normal human walking. Then, based on analysis of human micro-Doppler features during walking and during running, the paper raised the features that can be used in motion identification; based on analysis and experiment of plenty of field-measured data, the paper raised a human motion distinguishing method that applies the support vector machine as classifier. The paper also deeply studied the time-frequency chart analysis method for human walking raised by Michael Otero, raised a method for distinguishing single human walking and more-than-one-person walking, and explored the method of distinguishing human beings and animals.Based on the study on the basis of a great amount of field-measured data, the paper introduced the establishment of radar measurement system and the analysis of experiment result. Firstly, the author analyzed the design requirement of radar measurement system, designed the composition structure of radar system, and stressed the hardware design and realization of radar echo collecting system; then the author raised the experiment plan of human pace radar measurement experiment and collected plenty of experiment data. The author also listed the problems that exist in the system and raised the improvement target in future research.At last, the author summarized the developing trend and application prospect of the dissertation study and pointed out the problems that need further study and resolution.