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A Quantitative SNR Analysis for the Adjacent Cross Correlation Function

delete2023-01-01
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PRE
AI
Q
Qilei Zhang
Z
Zijing Li *
L
Lei Yu
Z
Zhen Dong
DOI:10.1109/LSP.2023.3310379delete
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Abstract

Abstract

En 中文
The adjacent cross correlation function (ACCF) is an effective tool to remove the range migration (RM) and reduce the order of Doppler frequency migration (DFM) in the pulsed-radar echoes of maneuvering targets, and thus has been employed in radar target detection and imaging. However, the ACCF is a nonlinear transform, which means that the signal-to-noise ratio (SNR) variation will be introduced by this operation. This letter presents a quantitative analysis of SNR for the ACCF. The frequency-domain derivation and analyses of ACCF are presented. Based on this, the SNR variation of the ACCF is analytically derived. The theoretical derivations and analyses are confirmed by numerical examples.
Keywords:
Signal-to-noise ratio (SNR)
adjacent cross correlation function (ACCF)
narrowband radar
wideband radar

Journal

IEEE Signal Processing Magazine cover
IEEE Signal Processing Magazine
IF:
9.6
Papers:
1.1W
Citations:
1.7W

Organization

N
national university of defense technology - china
Scholars:
1.8W
Papers: 1.4W
Citations: 9