z-logo
open-access-imgOpen Access
Direction Estimation of Low-SNR Moving Targets for SAA FMCW Radar
Author(s) -
Yi Lin,
Kai Yang,
Min Guo,
Yunqi Fu
Publication year - 2018
Publication title -
ieee access
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.587
H-Index - 127
ISSN - 2169-3536
DOI - 10.1109/access.2018.2876936
Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation
Switch antenna array (SAA) frequency modulated continuous-wave (FMCW) radar has garnered a great deal of research attention in recent years due to its low cost and small volume. The phase shift caused by a target's movement may lead to an inaccurate estimation of the target's direction. A direction estimation method for moving targets with low signal-to-noise ratio (SNR) is proposed in this paper for SAA FMCW radar applications. In the proposed method, digital beam forming (DBF) is applied twice. The improvement of the SNR of the echo signal is implemented by the first DBF. Meanwhile, the synthesized signal is used for distance and velocity estimation. The estimated velocity is then used to complete the phase compensation of the moving target. Finally, the direction estimation is implemented by the second DBF. The feasibility of the method is validated by numerical and experimental results. This method avoids the use of optimization algorithms and does not require eigenvalue decomposition calculations, which ensures its applicability under strict real-time requirements.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom