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Perturbation target non-contact detection and parameter estimation algorithm

Author: SuZuoZuo
Tutor: YangJianYu；KongLingJiang
School: University of Electronic Science and Technology
Course: Information and Communication Engineering
Keywords: Perturbation target Living Micro- Doppler Signal detection Parameter Estimation
CLC: TP274.4
Type: Master's thesis
Year: 2008
Downloads: 84
Quote: 1
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Abstract


Life on other targets to a certain frequency perturbation , the smaller amplitude vibration, which echoes with micro- Doppler features . Non-contact detection of the probe using the perturbation target echo signal phase modulation , micro- Doppler analysis performed in order to achieve the target detection and perturbation frequency and amplitude perturbation parameter estimation , in search and rescue , counter-terrorism , telemedicine , etc. has a wide range of applications . This paper studies the perturbation target non-contact detection of how strong clutter suppression, weak signal detection , and target perturbation parameter estimation problem . Main work is as follows : 1. Single frequency continuous wave , pulsed , stepped frequency continuous wave radar system three kinds of perturbations target detection for simulation, analysis of the sliding window on the detection performance, given the single-frequency continuous wave radar detection performance . 2 perturbation amplitude estimation proposed new method, using the peak position of the signal spectrum , amplitude ratio and the maximum Doppler frequency offset joint solving goals perturbation amplitude estimation and analysis of the method in different SNR error . 3 presents perturbation target distance estimation method using range gates , MTD filters and time domain - frequency domain joint detection, target detection in achieving perturbation , while the estimated target distance . 4 studied the perturbation target speed estimation method . By speed compensation can be distinguished sports perturbation goals and objectives sports non- perturbation ( general object ) . 5 Improved target quantity judgment perturbation method using short Fourier transform of the time-frequency spectrum and WVD joint matrix, singular value decomposition , to effectively extract a feature vector ( singular value ) for pattern recognition , can be successfully identified single and multi- perturbation targets. Simulation of these target detection and parameter estimation method. These methods in biomedical , disaster search and rescue , damage detection , and so has wide range of applications , but also for further study and implementation of perturbation target classification , state analysis to provide a certain foundation .

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