Open Access
3 May 2021 Fast radar detection method based on two-dimensional trilinear autocorrelation function for maneuvering target with jerk motion
Zhongying Liang, Yanyan Li, Jinping Niu, Lin Wang, XiaoXuan Chen, Ling Wang
Author Affiliations +
Abstract

We focus on the range migration (RM) and Doppler frequency migration (DFM) corrections in the long-time coherent integration, and a fast detection method based on two-dimensional trilinear autocorrelation function is proposed for the maneuvering target with jerk motion. This proposed method can integrate the echoes’ energy into peaks in a three-dimensional parameter space coherently and estimate the target’s radial range, acceleration, and jerk simultaneously by the peak detection technique. Then through the estimations of radial range, acceleration, and jerk, the radial velocity can be obtained through one-dimensional parameter searching. Finally, RM and DFM can be compensated simultaneously, and the target can be detected through the constant false alarm technique. This proposed method can strike a good balance between the computational complexity and detection performance. Experiments with the simulation and real measured radar data are conducted to verify the proposed method.

CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
Zhongying Liang, Yanyan Li, Jinping Niu, Lin Wang, XiaoXuan Chen, and Ling Wang "Fast radar detection method based on two-dimensional trilinear autocorrelation function for maneuvering target with jerk motion," Journal of Applied Remote Sensing 15(2), 026508 (3 May 2021). https://doi.org/10.1117/1.JRS.15.026508
Received: 22 January 2021; Accepted: 15 April 2021; Published: 3 May 2021
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Cited by 1 scholarly publication.
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KEYWORDS
Radar

Target detection

Design for manufacturing

Francium

Signal to noise ratio

Doppler effect

3D acquisition

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