Parameters Estimation of High Speed Targets Based on Frequency Domain Super-resolution

WANG Zhao; WANG Pengyi; SU Weimin; WANG Wei; DU Bingxin

doi:10.11999/JEIT160058

Volume 38 Issue 12

Jan. 2017

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Article Navigation > Journal of Electronics & Information Technology > 2016 > 38(12): 3034-3041

WANG Zhao, WANG Pengyi, SU Weimin, WANG Wei, DU Bingxin. Parameters Estimation of High Speed Targets Based on Frequency Domain Super-resolution[J]. Journal of Electronics & Information Technology, 2016, 38(12): 3034-3041. doi: 10.11999/JEIT160058

Citation:

WANG Zhao, WANG Pengyi, SU Weimin, WANG Wei, DU Bingxin. Parameters Estimation of High Speed Targets Based on Frequency Domain Super-resolution[J]. Journal of Electronics & Information Technology, 2016, 38(12): 3034-3041. doi: 10.11999/JEIT160058

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Parameters Estimation of High Speed Targets Based on Frequency Domain Super-resolution

doi: 10.11999/JEIT160058

1.
2.
(The 54th Research Institute of China Electronics Technology Group Corporation, Shijiazhuang 050081, China)

Funds:

The National 863 Program of China (2013AA 122105)

Received Date: 2016-01-13
Rev Recd Date: 2016-07-28
Publish Date: 2016-12-19

Abstract

Abstract

To solve the contradiction between estimation performance and computation burden, when detecting high speed target in wideband noise radar, a novel method based on Frequency Domain Supper-Resolution (FDSR) is proposed for parameter estimation. Firstly, a group of component noise frequency modulation signals with different phase information are obtained by setting different fixed delay, and the Doppler phase difference group is constructed through matched filtering without scaling transform. Then according to the similarity of Doppler phase difference group and array signal processing, the velocity is acquired through modern spectrum estimation algorithm, and the range is calculated by scaled matched filtering after Doppler compensation. In this method, the velocity is obtained without considering Doppler dispersion and the time-domain reconstruction is used only once in the whole algorithm. The computation burden and estimation performance both superior to wideband cross ambiguity function algorithm based on curve fitting, when the fixed delay and group number of Doppler phase difference group are appropriately selected. The effectiveness of this algorithm is validated by simulation results.
- Wideband noise radar,
- Doppler dispersion,
- Doppler phase difference group,
- Frequency Domain Super- Resolution (FDSR)

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References(19)

References

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