Robust Joint Design of Transmit Waveform and Receive Filter for MIMO Radar in Presence of Clutter

WANG Yuxi; HUANG Guoce; LI Wei; LIU Jian

doi:10.11999/JEIT161146

Volume 39 Issue 8

Aug. 2017

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Article Navigation > Journal of Electronics & Information Technology > 2017 > 39(8): 1879-1886

WANG Yuxi, HUANG Guoce, LI Wei, LIU Jian. Robust Joint Design of Transmit Waveform and Receive Filter for MIMO Radar in Presence of Clutter[J]. Journal of Electronics & Information Technology, 2017, 39(8): 1879-1886. doi: 10.11999/JEIT161146

Citation:

WANG Yuxi, HUANG Guoce, LI Wei, LIU Jian. Robust Joint Design of Transmit Waveform and Receive Filter for MIMO Radar in Presence of Clutter[J]. Journal of Electronics & Information Technology, 2017, 39(8): 1879-1886. doi: 10.11999/JEIT161146

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Robust Joint Design of Transmit Waveform and Receive Filter for MIMO Radar in Presence of Clutter

doi: 10.11999/JEIT161146

Funds:

The National Natural Science Foundation of China (61302153)

Received Date: 2016-10-26
Rev Recd Date: 2017-03-26
Publish Date: 2017-08-19

Abstract

Abstract

The existing joint design methods of transmit waveform and receive filter for MIMO radar do not take into account the non-linear characteristics of radio frequency amplifier and the imprecise information about the target in practical applications. For these problems, a robust joint design of transmit waveform and receive filter for MIMO radar in presence of clutter with the power constraint of each element and the Peak-to-Average-power Ratio (PAR) constraint of transmit waveform from each element is proposed. The novel scheme sets an optimization model of MIMO radars output Signal-to-Interference-plus-Noise Ratio (SINR) within the uncertainty of targets steering vector via Max-Min method. As for the resulting non-convex joint optimization problem, Semi-Definite Relaxation (SDR), Charnes-Cooper transformation, sequential optimization, and Lagrange dual theorem are adopted to converse the non-convex original problem into two convex Semi-Definite Programming (SDP) sub-problems, which are concerned about the covariance matrix of transmit space-time code and receive space-time filter, respectively. The final transmit waveform and receive filter can be obtained by randomization method. The efficiency and robustness of the proposed algorithm are verified by the simulation results.
- MIMO radar,
- Waveform design,
- Robustness,
- Semi-Definite Relaxation (SPR)

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References(22)

References

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