Short-Time Velocity Identification and Coherent-Like Detection of Ultrahigh Speed Targets

Jun Chen, Fei Wang*, Jianjiang Zhou, Ling Li, Danny Crookes, Huiyu Zhou

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)

Abstract

Finding a balance between observation duration and detection rates is the ultimate goal of the detection of ultrahigh speed targets. However, short observation durations, both across range unit, and Doppler frequency migration, may severely limit the detection performance of ultrahigh speed targets. Although, traditional coherent integration methods can efficiently accumulate signal energy to produce a high signal-to-noise-ratio measurement, they often need to search for unknown motion parameters. This search is time consuming and unacceptable for the real-time detection of ultrahigh speed targets. In this paper, a coherent-like detection method is designed based on the finite-dimension theory of Wigner matrices along with velocity identification. The proposed method can efficiently integrate signal energy without rendering motion parameters. We use the distribution and mean of the eigenvalues of the constructed matrix, i.e., an additive Wigner matrix, to identify velocities and detect ultrahigh speed targets, respectively. Simulation results validate the theoretical derivation, superiority and operability of the proposed method.

Original languageEnglish
Article number8424905
Pages (from-to)4811-4825
Number of pages15
JournalIEEE Transactions on Signal Processing
Volume66
Issue number18
Early online date03 Aug 2018
DOIs
Publication statusPublished - 15 Sept 2018

Bibliographical note

Funding Information:
Manuscript received January 24, 2018; revised June 3, 2018 and July 4, 2018; accepted July 15, 2018. Date of publication August 3, 2018; date of current version August 3, 2018. The associate editor coordinating the review of this manuscript and approving it for publication was Prof. Byonghyo Shim. This work was supported in part by the National Natural Science Foundation of China under Grant 61371170, in part by the Fundamental Research Funds for the Central Universities under Grants NP2015404 and NS2016038, in part by the Aeronautical Science Foundation of China under Grant 20152052028, and in part by the Funding of Jiangsu Innovation Program for Graduate Education under Grant KYLX15_0282. The work of H. Zhou was supported in part by the UK EPSRC under Grant EP/N011074/1, and in part by the Royal Society-Newton Advanced Fellowship under Grant NA160342. (Corresponding author: Fei Wang.) J. Chen is with the School of Electronic and Information Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China, and is also with the Key Laboratory of Radar Imaging and Microwave Photonics, Ministry of Education, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China (e-mail:,[email protected]).

Publisher Copyright:
© 1991-2012 IEEE.

Copyright:
Copyright 2018 Elsevier B.V., All rights reserved.

Keywords

  • coherent integration
  • short observation time
  • Ultrahigh speed target
  • velocity identification
  • Wigner matrix

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering

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