基于3DT的空时自适应单脉冲参数估计算法

doi:10.7527/S1000-6893.2015.0287

Abstract

Abstract:

Space-time adaptive processing (STAP) is the key technology of airborne early-warning radar to suppress clutter and interference, and the joint three-Doppler channel adaptive processing (3DT) is the well-established reduced-dimension (RD) STAP approach for engineering implementation. And, we still need to accurately estimate the target angle after STAP for radar target tracking. Therefore, in this paper, the adaptive monopulse (AM)technique is introduced into 3DT, and a high-precision space-time adaptive monopulse to jointly estimate the target velocity and location is presented. Theoretical analysis and simulation results demonstrate that, when the real target Doppler frequency deviates from the central frequency of the Doppler bin, the proposed algorithm can reduce the target Doppler crossing loss to improve the output signal to clutter and noise ratio (SCNR) and meanwhile mitigate the steering vector mismatch which definitely result in estimating the velocity and angle parameters more precisely.

Key words: STAP, 3DT, clutter suppression, adaptive monopulse, parameter estimation

CLC Number:

V557

YU Jia, SHEN Mingwei, WU Di, ZHU Daiyin. Space-time adaptive monopulse parameter estimation algorithm based on 3DT[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2016, 37(5): 1580-1586.

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Space-time adaptive monopulse parameter estimation algorithm based on 3DT

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