基于三迭代与二阶锥规划的机载MIMO雷达稳健降维STAP方法

doi:10.7527/S1000-6893.2015.0070

Abstract

Abstract:

To solve the problem of the mismatch errors between the actual and presumed signal steering vectors in airborne multiple-input multiple-output (MIMO) radar space-time adaptive processing (STAP), a robust reduced-dimension MIMO-STAP method based on tri-iterative algorithm (TRIA) and second-order cone programming (SOCP) is proposed. Firstly the MIMO-STAP weight vector is decomposed into the Kronecker product of the transmitting, the receiving and the Doppler weight vectors. Then by imposing a bound on the errors between the actual transmitting, receiving and Doppler steering vectors and the presumed steering vectors, SOCP is used to optimize the worst case performance. The three low-dimension weight vectors are resolved based on the TRIA to synthesize the final weight vector. The proposed method can significantly decrease the training sample requirement and the computational complexity while maintaining the robust STAP performance of airborne MIMO radar, which is more valuable for practical engineering application. Simulation results verify the effectiveness of the proposed method.

Key words: airborne multiple-input multiple-output (MIMO) radar, space-time adaptive processing, robustness, dimension reduction, tri-iterative algorithm, second-order cone programming

CLC Number:

V243.2
TN957

WANG Ting, ZHAO Yongjun. Robust reduced-dimension STAP method for airborne MIMO radar based on TRIA and SOCP[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2015, 36(11): 3706-3714.

References

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Robust reduced-dimension STAP method for airborne MIMO radar based on TRIA and SOCP

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