Unimodular Transmit Sequence Design for FDA-MIMO Radar in the Presence of Mismatched Target Steering Vectors

When processing radar signals, the target steering vector is generally only partially known, being subject to various forms of errors and mismatches. In this article, we investigate the design of an unimodular transmit sequence that is robust against steering vector mismatches, with the aim of enhan...

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Bibliographic Details
Published in:IEEE transactions on antennas and propagation Vol. 73; no. 1; pp. 161 - 173
Main Authors: Jia, Wenkai, Jakobsson, Andreas, Jian, Jiangwei, Li, Ping, Huang, Bang, Wang, Wen-Qin
Format: Journal Article
Language:English
Published: New York IEEE 01.01.2025
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Algorithms
Baseband
Constraints
Electrical Engineering, Electronic Engineering, Information Engineering
Elektroteknik och elektronik
Engineering and Technology
Frequency diverse array multiple-input-multiple-output (FDA-MIMO)
Interference
iterative optimization
maximin problem
MIMO communication
MIMO radar
Optimization
Performance enhancement
Radar antennas
Radar equipment
Receiving antennas
Robustness
Signal Processing
Signal to noise ratio
signal-to-interference-plus-noise ratio (SINR)
Signalbehandling
Steering
steering vector mismatch
Teknik
Uncertainty
unimodular transmit sequence
Vectors
Waveforms
ISSN:0018-926X, 1558-2221, 1558-2221
Online Access:Get full text
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Summary:When processing radar signals, the target steering vector is generally only partially known, being subject to various forms of errors and mismatches. In this article, we investigate the design of an unimodular transmit sequence that is robust against steering vector mismatches, with the aim of enhancing the performance of a frequency diverse array multiple-input-multiple-output (FDA-MIMO) radar system in the presence of signal-dependent main-lobe interference. The design is formulated as a max-min problem, constrained by the constant modulus of the transmit waveform, and seeks to maximize the worst case output signal-to-interference-plus-noise ratio (SINR) over the mismatched target steering vector. As the resulting problem is NP-hard, an iterative approximate scheme is proposed to allow for a feasible solution. Specifically, in each iteration, the inner optimization problem, which solves the norm-constrained steering vector mismatch, is addressed using a 1-D search. Subsequently, the unimodular transmit sequence is designed via two distinct algorithms, namely, the CC-SDR (Charnes-Cooper transformation combined with semidefinite relaxation technique) and CD-DIN (Dinkelbach's procedure embedded in a coordinated decent framework) algorithms. Through numerical simulations, we demonstrate the preferable performance of the proposed approaches in mitigating the adverse effects of steering vector mismatch and signal-dependent main-lobe interference.
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content type line 14
ISSN:0018-926X
1558-2221
1558-2221
DOI:10.1109/TAP.2024.3502915