Dechirp‐receiving radar target detection based on generalized Radon‐Fourier transform | Zendy

You Pengjie | Zendy; Ding Zegang | Zendy; Liu Siyuan | Zendy; Zhang Guangwei | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Dechirp‐receiving radar target detection based on generalized Radon‐Fourier transform

Author(s) -

You Pengjie,

Ding Zegang,

Liu Siyuan,

Zhang Guangwei

Publication year - 2021

Publication title -

iet radar, sonar and navigation

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.489

H-Index - 82

eISSN - 1751-8792

pISSN - 1751-8784

DOI - 10.1049/rsn2.12094

Subject(s) - computer science , radar , echo (communications protocol) , frequency domain , envelope (radar) , signal (programming language) , detector , frequency modulation , phase (matter) , wideband , fourier transform , sampling (signal processing) , fast fourier transform , electronic engineering , acoustics , algorithm , telecommunications , engineering , bandwidth (computing) , physics , computer vision , computer network , quantum mechanics , programming language

The dechirp‐receiving radar measures range by the frequency difference between the target echo and the reference signal. It can operate at a low sampling frequency while transmitting a wideband signal, which simplifies the radar hardware. However, when detecting high‐speed and highly maneuvering targets, residual video phase (RVP), frequency mismatch, frequency modulation (FM) rate mismatch, and across range‐Doppler unit (ARDU) problems occur after dechirp receiving, which cause difficulties in integrating the target echo and result in severe performance loss. To solve these problems, the dechirp generalized Radon‐Fourier transform (DGRFT) and an algorithm for its fast implementation are proposed. The DGRFT compensates for the frequency and FM rate mismatch in the fast‐time domain and the RVP in the fast‐time frequency domain, and then implements joint envelope and phase compensations to overcome the ARDU phenomenon. After these compensations, the target echo can be effectively integrated. Experiments with simulated and measured data show that the performance of the DGRFT is better than that of the conventional moving target detector.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research