Paper Info
Title
A New Sampling Mismatch Compensation Method for Moving Target Detection Based on Hooke-Jeeves Optimization Processing
Abstract
In this letter, we propose a novel range and Doppler sampling mismatch compensation method for moving target detection, which can effectively improve the output signal-to-noise ratio (SNR) of a moving target. In the proposed method, after performing the target coherent integration by using the well-known Keystone transform (KT), the range and Doppler sampling mismatch errors (SMEs) are estimated and compensated based on the constructed optimization model with the consideration of the change rate of a moving target peak amplitude. In order to improve the computational efficiency, the Hooke-Jeeves method is applied to achieve the optimal solution of the constructed optimization problem, thus efficiently solving the target energy diffusion problem caused by the SMEs. Simulated experiment is presented to verify the effectiveness and feasibility of the proposed method.
Year
DOI
Venue
2022
10.1109/LGRS.2022.3205157
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
Keywords
DocType
Volume
Doppler effect, Signal to noise ratio, Optimization, Energy loss, Radar detection, Object detection, Doppler radar, Coherent integration detection, sampling mismatch compensation, sampling mismatch errors (SMEs)
Journal
19
ISSN
Citations 
PageRank 
1545-598X
0
0.34
References 
Authors
0
7
Name
Order
Citations
PageRank
Lingyu Wang100.34
Penghui Huang205.07
Xiang-Gen Xia300.34
Yanyang Liu400.34
Xuepan Zhang500.34
Xingzhao Liu619251.67
Guisheng Liao7996126.36