Improving Range Resolution by Triangular Decomposition for Small UAV Radar Altimeters

Di BAI  Zhenghai WANG  Mao TIAN  Xiaoli CHEN  

IEICE TRANSACTIONS on Communications   Vol.E101-B   No.8   pp.1933-1939
Publication Date: 2018/08/01
Online ISSN: 1745-1345
DOI: 10.1587/transcom.2017EBP3379
Type of Manuscript: PAPER
Category: Sensing
super-resolution,  multipath echoes,  triangular waveform decomposition,  radar target detection,  radar altimetry,  

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A triangular decomposition-based multipath super-resolution method is proposed to improve the range resolution of small unmanned aerial vehicle (UAV) radar altimeters that use a single channel with continuous direct spread waveform. In the engineering applications of small UAV radar altimeter, multipath scenarios are quite common. When the conventional matched filtering process is used under these environments, it is difficult to identify multiple targets in the same range cell due to the overlap between echoes. To improve the performance, we decompose the overlapped peaks yielded by matched filtering into a series of basic triangular waveforms to identify various targets with different time-shifted correlations of the pseudo-noise (PN) sequence. Shifting the time scale enables targets in the same range resolution unit to be identified. Both theoretical analysis and experiments show that the range resolution can be improved significantly, as it outperforms traditional matched filtering processes.