The symmetric autocorrelation function (SAF) has a huge computational complexity, which
may limit the practical application of SAF‐based scaled inverse Fourier transform (SCIFT) …

In this paper, by employing the symmetric autocorrelation function and the scaled inverse
Fourier transform (SCIFT), a coherent detection algorithm is proposed for high-speed …

In this paper, we propose a coherent detection algorithm for high-speed targets by
employing the parametric symmetric autocorrelation function and the frequency-domain …

The range frequency autocorrelation function (RFAF) based algorithm is proposed for radar
target detection and motion parameter estimation in our previous work. In the RFAF-based …

This paper gives a detailed performance analysis for the novel radar long-time coherent
integration method, ie, Radon-Fourier transforms (RFT). Some important properties of RFT …

High target speed, long pulse duration or wide signal bandwidth may cause noticeable
scale effect on radar echoes, for which the conventional narrowband matched filter may …

Long-time coherent integration can remarkably improve the detection and motion parameter
estimation ability of radar for maneuvering targets. Unfortunately, the linear range migration …

With respect to the scale effect of wideband radar echoes, this paper proposes a long-time
coherent integration method, ie, wideband scaled Radon-Fourier transform (WSRFT). It can …

Within the long-time coherent integration (CI) in radar detection, the range walk effect
inevitably impacts high-speed targets, which makes coherent detection methods invalid. To …

Radar returned signals are processed by stretch processing, resulting in mixer outputs.
Based on the time-frequency decomposition of the cross S-method (CSM) of two adjacent …