Bearing angle estimation based on synthetic aperture radar (SAR) image

Xingyu Xiang; Zhonghai Wang; Genshe Chen; Erik Blasch; Khanh Pham

doi:10.1117/12.2274982

1 May 2017 Bearing angle estimation based on synthetic aperture radar (SAR) image

Xingyu Xiang, Zhonghai Wang, Genshe Chen, Erik Blasch, Khanh Pham

Proceedings Volume 10188, Radar Sensor Technology XXI; 101881O (2017) https://doi.org/10.1117/12.2274982
Event: SPIE Defense + Security, 2017, Anaheim, CA, United States

Abstract

The bearing angle could be estimated based on the high resolution image obtained by Multiple-Input Multiple-Output (MIMO) synthetic aperture radar (SAR). By extending the previous work of SAR images simulator for 3D target model, two estimation methods are proposed for calculating the bearing angle according to the provided SAR images. Without loss of generality, the SAR images are derived through the raytracing aided simulator of a TDMA MIMO SAR system with 13 transmitting antennas and 8 receiving antennas. Assuming the true bearing angles range from -10° to 10°, the estimation results along with the error analysis are presented after the discussion about the estimation methods. The root mean square error (RMSE) value varies with different threshold settings for erasing the undesired pixels, and an RMSE less than 1.6° could be achieved in most circumstances.

Citation Download Citation

Xingyu Xiang, Zhonghai Wang, Genshe Chen, Erik Blasch, and Khanh Pham "Bearing angle estimation based on synthetic aperture radar (SAR) image", Proc. SPIE 10188, Radar Sensor Technology XXI, 101881O (1 May 2017); https://doi.org/10.1117/12.2274982

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