Abstract
Forward-looking imaging plays a significant role in navigation, self-landing, etc. In this chapter, an improved monopulse forward-looking imaging algorithm is presented. Firstly, the angle of the target is estimated by monopulse angle measurement. Secondly, the radar return energy is placed to the azimuth bin indicated by the estimate angle. Then, upon completion of beam scan, a high-resolution image is gained. Finally, the mask technique is used to make the target’s boundary clear. Simulation results validate the effectiveness of this algorithm.
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References
Curlander JC, Mcdonough RN (1991) Synthetic aperture radar: system and signal processing. Wiley, New York
Stimson GW (1998) Introduction to airborne radar. Scitech, New Jersey
Lohner AK (1998) Improved azimuth resolution o f forward looking SAR by sophisticated antenna illumination function design. IEE Proc-Radar Son Nav 145(2):128–134
Skolnik MI (2008) Radar handbook, 3rd edn. McGraw-Hill, New York
Blair WD, Brandt-Pearce M (2001) Monopulse DOA estimation of two unresolved Rayleigh targets. IEEE Trans Aero Elec Sys 37:452–469
Zhen W et al (2004) Angle estimation for two unresolved targets with monopulse radar. IEEE Trans Aero Elec Sys 40:998–1019
Isaac A et al (2008) Detecting and tracking separating objects using direct monopulse measurements. In: IEEE aerospace conference, Big Sky, MT, pp 1–11
Sherman SM (1984) Monopulse principles and techniques. Artech House, Boston
Levanon N (1988) Radar principles. Wiley, New York
Acknowledgments
This work was supported by the Ph.D. Programs Foundation of Ministry of Education of China (No.A0901020110018611013)
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© 2012 Springer Science+Business Media New York
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Jiang, X., Huang, Y., Yang, J., Li, W. (2012). An Improved Monopulse Forward-Looking Imaging Algorithm. In: Liang, Q., et al. Communications, Signal Processing, and Systems. Lecture Notes in Electrical Engineering, vol 202. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-5803-6_17
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DOI: https://doi.org/10.1007/978-1-4614-5803-6_17
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