Abstract
For the high-speed target detection, the linear range migration induced by the high velocity disturbs the moving target detection (MTD) algorithm, which can be efficiently implemented via the fast Fourier transform (FFT). In this paper, by employing a novel symmetric autocorrelation function and the inverse fast Fourier transform (IFFT), a fast non-searching algorithm is proposed to realize the high-speed target detection. Compared to conventional detection algorithms, this proposed fast algorithm can complete the high-speed target detection and the motion parameters estimation with lower computational cost and the less complicated radar system. Furthermore, this fast non-searching algorithm utilizes the radial velocity to determine the high-speed target, which may provide a novel idea for the echo processing of the high-speed target. Through several numerical examples and analyses of the computational cost, we verify the effectiveness of the fast non-searching algorithm for the high-speed target detection.
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Acknowledgement
This work was supported in part by the National Natural Science Foundation of China under Grants 61001204, the Science and technology Foundation of Shaanxi Province (2012JM8015), and the Xi’an Polytechnic University Dr Support Foundation (BS1119).
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Zheng, J., Su, T., Zhu, W., Liu, Q.H. (2015). A Fast Non-searching Algorithm for the High-Speed Target Detection. In: Selvaraj, H., Zydek, D., Chmaj, G. (eds) Progress in Systems Engineering. Advances in Intelligent Systems and Computing, vol 366. Springer, Cham. https://doi.org/10.1007/978-3-319-08422-0_112
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DOI: https://doi.org/10.1007/978-3-319-08422-0_112
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