Airborne MIMO Radar STAP Method Based on Transmit Beamspace-tri-iterative Algorithm

WANG Ting; ZHAO Yongjun; ZHAO Chuang

doi:10.11999/JEIT150741

Volume 38 Issue 5

May 2016

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WANG Ting, ZHAO Yongjun, ZHAO Chuang. Airborne MIMO Radar STAP Method Based on Transmit Beamspace-tri-iterative Algorithm[J]. Journal of Electronics & Information Technology, 2016, 38(5): 1034-1040. doi: 10.11999/JEIT150741

Citation:

WANG Ting, ZHAO Yongjun, ZHAO Chuang. Airborne MIMO Radar STAP Method Based on Transmit Beamspace-tri-iterative Algorithm[J]. Journal of Electronics & Information Technology, 2016, 38(5): 1034-1040. doi: 10.11999/JEIT150741

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Airborne MIMO Radar STAP Method Based on Transmit Beamspace-tri-iterative Algorithm

doi: 10.11999/JEIT150741

Funds:

The National Natural Science Foundation of China (41301481)

Received Date: 2015-06-18
Rev Recd Date: 2016-01-22
Publish Date: 2016-05-19

Abstract

Abstract

The output Signal-to-Clutter-plus-Noise Ratio (SCNR) of traditional airborne MIMO radar STAP decreases because of the transmit power dispersion. To solve this problem, a MIMO-STAP method based on Transmit Beamspace (TB)-TRi-Iterative Algorithm (TRIA) is proposed. Firstly, the signal model of the TB-based MIMO radar STAP is established, and the optimizing criterion for designing the TB weight matrix is proposed to focus all transmit power within the desired spatial sector. Then, the Clutter-to-Noise Ratio (CNR) of the TB-based MIMO radar is analyzed to show its relationship with the total transmit power. The theoretical derivation is further provided to illustrate that the CNR of the TB-based MIMO radar is reduced compared with that of the traditional MIMO radar with uniform omni-directional transmission. Furthermore, in order to decrease the training sample requirement and the computational complexity of the TB-based MIMO-STAP, the TRIA is utilized to resolve the reduced-dimension weight vectors. The theoretical analysis and simulation results show that, through the corresponding tri-iterative reduced-dimension processing, the TB-based MIMO-STAP can achieve the improvement of the output SCNR, compared to the traditional MIMO-STAP with uniform omni-directional transmission. Moreover, the computational burden is further decreased. Therefore, the proposed TB-TRIA method has great value for engineering application.
- Airborne MIMO radar,
- Transmit Beamspace (TB),
- Space-Time Adaptive Processing (STAP),
- Clutter- to-Noise Ratio (CNR) analysis,
- TRi-Iterative Algorithm (TRIA)

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References(25)

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