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Improved axis rotation MTD algorithm and its analysis

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Abstract

In radar detection, weak targets’ range migration often happens during long time integration. To detect weak targets effectively, an improved axis rotation moving target detection (IAR-MTD) is introduced and analysed in detail. IAR-MTD can detect weak targets by compensating the linear part of range migration via the axis rotation and coherently integrating the echoes via moving target detection (MTD). Then the realization of IAR-MTD is derived. Furthermore, the coherent integration gain of IAR-MTD is analysed, which is better than that of traditional MTD, Radon–Fourier transform (RFT) and Keystone transform (KT). Subsequently, to decrease the computational complexity of IAR-MTD, some suggestions are given. Besides, unambiguous Doppler estimation, the tolerance of acceleration, and the multi-target detection of IAR-MTD are analysed respectively. Finally, some numerical experiments are provided to show the performance of IAR-MTD in different conditions and testify the advantages of IAR-MTD over MTD, RFT and KT. The result indicates that IAR-MTD may effectively detect the weak moving targets with constant radial velocity and it is compatible with MTD radar system.

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Acknowledgement

The authors would like to acknowledge the anonymous reviewers and the Associate Editor for their very helpful and useful suggestions, which have considerably improved the quality of the manuscript. This work is supported by the Program for Changjiang Scholars and Innovative Research Team in University (IRT0954), National Nature Science Foundation of China (NSFC) under Grants 61661035 and 61761031, Aerospace Science Foundation under Grants 2015ZC56005, SAST2017106, the Doctoral Scientific Research Foundation of NCHU under Grant EA201804195, and in part by the China Scholarship Council and was done when RAO was visiting the University of Delaware, Newark, DE 19716, USA.

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Authors and Affiliations

  1. School of Information Engineering, Nanchang Hangkong University, Nanchang, 330063, China

    Xuan Rao & Tiantian Zhong

  2. National Laboratory of Radar Signal Processing, Xidian University, Xi’an, 710071, China

    Haihong Tao

  3. School of Electronics and Information, The Northwestern Polytechnical University, Xi’an, 710072, China

    Jian Xie & Jia Su

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  1. Xuan Rao
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  2. Tiantian Zhong
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  5. Jia Su
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Correspondence to Xuan Rao.

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Rao, X., Zhong, T., Tao, H. et al. Improved axis rotation MTD algorithm and its analysis. Multidim Syst Sign Process 30, 885–902 (2019). https://doi.org/10.1007/s11045-018-0588-y

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  • DOI: https://doi.org/10.1007/s11045-018-0588-y

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