Perturbation Target Non-contact Detection And Parameter Estimation Algorithms

Micro vibrational targets, such as living things, are vibrate with certain frequencies and micro amplitudes, which module the echo as micro Doppler signals. Noncontact detection utilize the phase modification of the detection echo to analysis micro-Doppler information in order to realize target detection and parameters estimation, which is widely used in rescue service, antiterrorists enforcements, and remote medicine, etc..This paper researches on clutter suppression and signal detection in noncontact micro vibrational targets detection, as well as vibrational parameters estimation. And the main problems studied as below:1. Simulated detection by mono-continuous wave radar, pulse radar and step frequency continuous wave radar. Analyze the effection in detection the different slip windows lead to. Study the detection performance by mono-continuous wave radar.2. Proposed a new method to estimate vibrational amplitudes, which utilized signal spectrum peak, target amplitude ratio and the maxmum micro Doppler frequency. The error in different SNR is also given.3. Raised a new method to estimate target range, which utilized range gate, MTD filter and time-frequency domain joint detection. The target range can be obtained as well as the target is detected.4. Resaerched on target speed estimation method. After motion compensation, the motion micro vibrational targets can be distinguished from motion objects.5. Improved the target number distinguishing method, which used the modes identification of singular value of the spectrogram and WVD time-frequency joint matrix to distinguish single or multi targets.The theoretical validities are illustrated with simulation results. These methodes can be widely used in life medicine, rescue service, damage detection and so on. And it is also the useful to the further study, such as targets classification, status analysis and so on.