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作 者:刘洋[1] 张永顺[1] 刘汉伟[1] 郭艺夺[1] LIU Yang ZHANG Yongshun LIU Hanwei GUO Yiduo(Air and Missile Defense College, Air Force Engineering University, Xi~an 710051, China)
出 处:《空军工程大学学报(自然科学版)》2017年第4期24-27,52,共5页Journal of Air Force Engineering University(Natural Science Edition)
基 金:国家自然科学基金(61501501)
摘 要:基于MIMO雷达的空时自适应处理技术在滤波过程中,由于大样本需求数和高运算复杂度的影响,导致杂波抑制效果下降。为解决上述问题,利用局部分块操作的思路,提出了一种改进MIMO-STAP降维处理方法。传统JDL算法需将阵元-脉冲域中的回波信息转换到波束-Doppler域。该方法在此基础上,通过调整时域主通道两侧的辅助通道以及空域主波束两侧的辅助波束数目,减小时域自由度,增强波束指向性,进而提升系统检测性能。经仿真,改进的JDL算法样本需求数和运算量明显降低,并且对阵元以及通道误差等系统自身的误差影响也有较强的鲁棒性,与传统的JDL方法相比,系统改善因子平均提高3dB左右。Aimed at the problems that large number of training requirement and computational load influ- ence lead to a decline in effectiveness of clutter suppression in the airborne MIMO radar, this paper pres- ents an improved reduced-dimension method by a thinking of dividing operation into local plot. The re- ceived data in the antennas-pulse domain is firstly transformed to the beam-Doppler domain, and then the number of auxiliary channels on both sides of main channels in time domain and space domain is adiusted. in order to reduce the degree of freedom in time domain, the paper enhances the directivity of beam and im- proves detection performance. The simulation results demonstrate that the proposed method can dramatic- ally reduce the computational load and training requirement. The result shows that the system improve- ment factor of the proposed method has an increase of 3 dB compared to the traditional JDL method under the conditions of errors.
关 键 词:机载MIMO雷达 杂波抑制 空时自适应处理 改进的JDL算法
分 类 号:V243.2[航空宇航科学与技术—飞行器设计] TN959[电子电信—信号与信息处理]
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