A new motion parameter estimation algorithm based on SDFC-LVT

Jing Tian, Wei Cui*, Xiang Gen Xia, Siliang Wu

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

25 Citations (Scopus)

Abstract

This paper proposes a new motion parameter estimation algorithm, namely subband dual-frequency conjugate-Lv's transform, for fast moving targets. This algorithm first constructs two subband signals with different central frequencies. Then, the two signals are shifted by different values and a new signal is constructed by multiplying one with the complex conjugate of the other. Finally, Keystone transform and LVT are performed to obtain the estimates. This method does not need any prior-knowledge of targets and can resolve the Doppler ambiguity problem when Keystone transform does not work, especially when the ambiguity number splits into two numbers. Both simulated and real data demonstrate the effectiveness of the proposed algorithm.

Original languageEnglish
Article number7812880
Pages (from-to)2331-2346
Number of pages16
JournalIEEE Transactions on Aerospace and Electronic Systems
Volume52
Issue number5
DOIs
Publication statusPublished - Oct 2016

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