Article (Scientific journals)
Joint Design of Horizontal and Vertical Polarization Waveforms for Polarimetric Radar Via SINR Maximization
Cheng, Xu; Wu, Linlong; Ciuonzo, Domenico et al.
2022In IEEE Transactions on Aerospace and Electronic Systems
Peer reviewed
 

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Abstract :
[en] For an extended target with different polarimetric response, one way of improving the detection performance is to exploit waveform diversity on the dimension of polarization. In this paper, we focus on joint design of transmit signal and receive filter for polarimetric radars with local waveform constraints. Considering the signal-to-interference-plus-noise ratio (SINR) as the figure of merit to optimize, where the average Target-Impulse-Response Matrix (TIRM) within a certain Target-Aspect-Angle (TAA) interval is employed as the target response, the waveform is decomposed and then designed for both horizontal and vertical polarization segments, subject to energy and similarity constraints. An iterative algorithm is proposed based on the majorization-minimization (MM) method to solve the formulated problem. The developed algorithm guarantees the convergence to a B-stationary point, where in each iteration, optimal horizontal and vertical transmit waveforms are respectively solved by using the feasible point pursuit and successive convex approximation (FPP-SCA) technique. Experiment results show the effectiveness of the proposed algorithm, the robustness of the output SINR against the TAA change, and the advantages of polarization diversity and local design.
Disciplines :
Electrical & electronics engineering
Author, co-author :
Cheng, Xu
Wu, Linlong  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SPARC
Ciuonzo, Domenico
Wang, Wei
External co-authors :
yes
Language :
English
Title :
Joint Design of Horizontal and Vertical Polarization Waveforms for Polarimetric Radar Via SINR Maximization
Publication date :
2022
Journal title :
IEEE Transactions on Aerospace and Electronic Systems
Publisher :
IEEE
Peer reviewed :
Peer reviewed
FnR Project :
FNR12734677 - Signal Processing For Next Generation Radar, 2018 (01/09/2019-31/08/2022) - Bjorn Ottersten
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