Abstract
Terrain following radar (TFR) is a particular airborne equipment that can assist the pilot in his task of staying close to the ground and yet avoiding obstacles. Angular resolution is crucial for TFR, but it is limited by the beam width of antenna. To overcome this problem, angular superresolution technique is adopted in TFR. First, received signal in vertical plane is modeled as a mathematical convolution of the antenna pattern and the targets’ scattering. Then principles of the angular superresolution algorithm and range migration correction method are presented. Simulation result validates that the method can effectively improve the angular accuracy of TFR in vertical plane.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Ajith Kumar B, Ghose D (2001) Radar-assisted collision avoidance/guidance strategy for planar flight. IEEE Trans Aerosp Electron Syst 37(1):77–90
Malaek SM, Kosari AR (2007) Novel minimum time trajectory planning in terrain following flights. IEEE Trans Aerosp Electron Syst 43(1):2–12
Malaek SM, Kosari AR (2012) Dynamic based cost functions for TF/TA flights. IEEE Trans Aerosp Electron Syst 48(1):44–63
Chapoton CW Jr (1989) Future terrain following radars. In: Proceedings of the IEEE National Radar conference, Texas, pp 20–23
Bechtel B, Satterwhite GD, Sharp JH (1971) Terrain avoidance radar system. US Patent 3,568,187
Starling RJ, Stewart MS (1971) The development of terrain following radar: an account of the progress made with an airborne guidance system for low flying military aircraft. Aircr Eng Aerosp Technol 43(4):13–15
Stimson GW (1998) Introduction to airborne radar. SciTech Publishing, Mendham, pp 37–38
Li WC, Yang JY et al (2012) Keystone transform-based space-variant range migration correction for airborne forward-looking scanning radar. Electron Lett 48(2):121–122
Jiang W, Li WC et al (2013) Radar angular superresolution algorithm based on Fourier-wavelet regularized deconvolution. In: IEEE international geoscience and remote sensing symposium, Melbourne, Australia, pp 1669–1772
Guan JC, Huang YL et al (2012) Improving angular resolution based on maximum a posteriori criterion for scanning radar. In: IEEE Radar conference, Atlanta, pp 451–454
Zhou DL, Huang YL et al (2010) Radar angular superresolution algorithm based on Bayesian approach. In: Proceedings of ICSP, Beijing, pp 1894–1897
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Jiang, W., Huang, Y., Wu, J., Li, W., Yang, J. (2015). A New Approach for Terrain Following Radar Based on Radar Angular Superresolution. In: Mu, J., Liang, Q., Wang, W., Zhang, B., Pi, Y. (eds) The Proceedings of the Third International Conference on Communications, Signal Processing, and Systems. Lecture Notes in Electrical Engineering, vol 322. Springer, Cham. https://doi.org/10.1007/978-3-319-08991-1_23
Download citation
DOI: https://doi.org/10.1007/978-3-319-08991-1_23
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-08990-4
Online ISBN: 978-3-319-08991-1
eBook Packages: EngineeringEngineering (R0)