Paper Info
Title
Robust Transceiver Design In The Presence Of Eclipsing Loss For Spectrally Dense Environments
Abstract
Radar system design for the detection of targets with unknown actual range in spectrally crowded environments is a challenge due to increasing demands for spectrum and the possibly experienced echo eclipsing. Assuming unknown target echo delay, this article deals with robust joint design of the radar code and receive filter bank guaranteeing spectral compatibility with the surrounding electromagnetic radiators. The average signal-to-interference-plus-noise ratio (SINR) at the output of the filter bank is considered as the performance measure to optimize under both similarity and spectral compatibility constraints on the radar code. Through an appropriate reformulation of the resulting nonconvex optimization problem, we devise an alternate optimization algorithm, which sequentially improves the average SINR and converges to a point fulfilling the Karush-Kuhn-Tucker (KKT) conditions of the design problem. Each iteration of the algorithm involves both a convex and a hidden convex optimization problem, which can be solved via the rank-1 decomposition procedure. Finally, the performance is assessed by studying the tradeoff among the SINR, spectral shape, and autocorrelation. Numerical results reveal that the new method has better flexibility and robustness compared to several counterparts, which are presented in open literature.
Year
DOI
Venue
2021
10.1109/JSYST.2020.3024531
IEEE SYSTEMS JOURNAL
Keywords
DocType
Volume
Radar, Interference, Signal to noise ratio, Optimization, Linear matrix inequalities, Robustness, Transceivers, Eclipsing loss, filter bank design, joint transmit-receive optimization, quadratically constrained quadratic programming, spectral coexistence
Journal
15
Issue
ISSN
Citations 
3
1932-8184
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Yu Yao100.68
Lenan Wu270062.18
Haitao Liu301.69