Abstract
Radar micro-Doppler of human motion can provide signatures for target recognition. It is very difficult to extract motion parameters from radar echo of walking human because of its complexity. This paper presents a method for estimating the relative velocity and height of human walking. The relative velocity is defined as the average walking velocity normalized by the height of the human. In this method, the m-D spectrum of real data is extracted from linear frequency modulation signal first. Then we simulate the radar echo of different parameters and extract the m-D spectrums simulated. A priori knowledge is obtained by performing pulse compression on the signal to improve the accuracy of the simulation. At last, the correlation is compared to find the parameters corresponding to the m-D spectrum of real data, where the frequency component of foot is considered to be the main component and is separated and used to compare the correlation. Simulation results show that this method can accurately estimate the height and relative velocity parameters of pedestrians and is not sensitive to noise.
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Cui, W., Fan, C., Huang, X., Zhou, Z. (2019). Height and Relative Velocity of Pedestrians Estimation Based on Radar Micro-Doppler Signatures. In: Liang, Q., Mu, J., Jia, M., Wang, W., Feng, X., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2017. Lecture Notes in Electrical Engineering, vol 463. Springer, Singapore. https://doi.org/10.1007/978-981-10-6571-2_152
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DOI: https://doi.org/10.1007/978-981-10-6571-2_152
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