Robust joint design of transmit waveform and receive filter for MIMO radar space-time adaptive processing with signal-dependent interferences

This study deals with the problem of joint design of multiple-input–multiple-output (MIMO) radar transmit waveform and receive filter in the presence of signal-dependent interferences. To enhance the detection performance of a slow moving target, MIMO radar space-time adaptive technology is adapted....

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Vydané v:IET radar, sonar & navigation Ročník 11; číslo 8; s. 1321 - 1332
Hlavní autori: Wang, Yuxi, Li, Wei, Sun, Qilu, Huang, Guoce
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: The Institution of Engineering and Technology 01.08.2017
Predmet:
Charnes‐Cooper transform
computational complexity
concave programming
filtering theory
final transmit waveform
Lagrange duality method
linear computational complexity
MIMO radar
MIMO radar space‐time adaptive processing
MIMO radar space‐time adaptive technology
multiple‐input‐multiple‐output radar transmit waveform
nonconvex robust joint design problem
nonlinear power amplifier
output signal‐to‐interference‐plus‐noise ratio
peak‐to‐average power ratio
power amplifiers
radar antennas
radar detection
radar signal processing
randomisation procedure
receive filter
Research Article
robust joint design
semidefinite relaxation
sequential optimisation procedure
signal‐dependent interferences
slow‐moving target detection performance
space‐time adaptive processing
target Doppler frequency
target steering vector
transmit antenna
transmit power
transmit waveform
transmitting antennas
radar detection
transmitting antennas
radar antennas
target Doppler frequency
Charnes-Cooper transform
final transmit waveform
radar signal processing
transmit antenna
semidefinite relaxation
MIMO radar
slow-moving target detection performance
robust joint design
power amplifiers
target steering vector
output signal-to-interference-plus-noise ratio
concave programming
signal-dependent interferences
transmit power
receive filter
peak-to-average power ratio
space-time adaptive processing
filtering theory
nonconvex robust joint design problem
multiple-input-multiple-output radar transmit waveform
linear computational complexity
randomisation procedure
transmit waveform
nonlinear power amplifier
sequential optimisation procedure
MIMO radar space-time adaptive technology
MIMO radar space-time adaptive processing
Lagrange duality method
computational complexity
ISSN:1751-8784, 1751-8792
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Popis
Shrnutí:This study deals with the problem of joint design of multiple-input–multiple-output (MIMO) radar transmit waveform and receive filter in the presence of signal-dependent interferences. To enhance the detection performance of a slow moving target, MIMO radar space-time adaptive technology is adapted. Considering the issue of imprecise knowledge about target's Doppler frequency and direction, the worst-case output signal-to-interference-plus-noise ratio over the uncertainty set of target steering vector is set as figure of merit. Furthermore, due to the non-linear power amplifier and the fact that transmit antenna may be out of work, constraints of peak-to-average power ratio and transmit power for each transmit antenna are taken into account. As to the resulted hard problem, some suitable mathematical transformations are performed and a novel sequential optimisation procedure combined with semi-definite relaxation, Charnes–Cooper transform and Lagrange duality method is developed to tackle the non-convex joint design problem. Randomisation procedure is utilised to synthesise the final transmit waveform and receive filter. The computational complexity is linear with the numbers of iterations and trials of the randomisation. The convergence of the devised algorithm is analysed and numerical results in a variety of scenarios are provided to demonstrate the effectiveness of the proposed algorithm.
ISSN:1751-8784
1751-8792
DOI:10.1049/iet-rsn.2016.0514