A Fast Motion Parameters Estimation Method Based on Cross-Correlation of Adjacent Echoes for Wideband LFM Radars

In wideband radar systems, the performance of motion parameters estimation can significantly affect the performance of object detection and the quality of inverse synthetic aperture radar (ISAR) imaging. Although the traditional motion parameters estimation methods can reduce the range migration (RM...

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Bibliographic Details
Published in:Applied sciences 2017-05, Vol.7 (5), p.500
Main Authors: Zhang, Yi-Xiong, Hong, Ru-Jia, Yang, Cheng-Fu, Zhang, Yun-Jian, Deng, Zhen-Miao, Jin, Sheng
Format: Article
Language:English
Subjects:
Broadband
Computer applications
Computer simulation
Cross correlation
Datasets
Doppler effect
Inverse synthetic aperture radar
Methods
Migration
motion parameters estimation
Parameter estimation
Radar
Radar imaging
Radar systems
Searching
Simulation
State of the art
wideband LFM radar
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Summary:In wideband radar systems, the performance of motion parameters estimation can significantly affect the performance of object detection and the quality of inverse synthetic aperture radar (ISAR) imaging. Although the traditional motion parameters estimation methods can reduce the range migration (RM) and Doppler frequency migration (DFM) effects in ISAR imaging, the computational complexity is high. In this paper, we propose a new fast non-parameter-searching method for motion parameters estimation based on the cross-correlation of adjacent echoes (CCAE) for wideband LFM signals. A cross-correlation operation is carried out for two adjacent echo signals, then the motion parameters can be calculated by estimating the frequency of the correlation result. The proposed CCAE method can be applied directly to the stretching system, which is commonly adopted in wideband radar systems. Simulation results demonstrate that the new method can achieve better estimation performances, with much lower computational cost, compared with existing methods. The experimental results on real radar datasets are also evaluated to verify the effectiveness and superiority of the proposed method compared to the state-of-the-art existing methods.
ISSN:2076-3417
2076-3417
DOI:10.3390/app7050500