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- W2989150343 abstract "The interest of this paper is to detect an unmanned aerial vehicle (UAV) and then initialize its trajectory, if it exists. The difficulties of detecting a UAV mainly lie in two aspects: a) small radar cross section (RCS), which causes extremely low signal-to-noise ratio (SNR); and b) low velocity, which results in weak Doppler effect. In this case, traditional track-before-detect (TBD) algorithms cannot achieve the satisfying probability of detection. In this paper, we propose to solve the problem of detecting a UAV based on micro-Doppler aided dynamic programming TBD (MA-DP-TBD) algorithm where the effect of micro-Doppler caused by the blades of UAV is taken into consideration to aid the detection process. The performance of proposed algorithm is examined via simulations." @default.
- W2989150343 created "2019-11-22" @default.
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- W2989150343 date "2019-07-01" @default.
- W2989150343 modified "2023-10-16" @default.
- W2989150343 title "Micro-Doppler Aided Track-Before-Detect for UAV Detection" @default.
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- W2989150343 doi "https://doi.org/10.1109/igarss.2019.8899267" @default.
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