中文摘要：

针对近场强干扰源扰动导致近场自适应波束形成器的性能降低问题,提出了一种近场零陷展宽方法.在干扰源附近区域布置多个近场虚拟干扰源,以此构造出一个新的阵列协方差矩阵替代原阵列协方差矩阵,结合自适应波束形成技术就可以获得展宽的零陷.不同于远场零陷展宽方法,该方法须要预估干扰源的位置.仿真结果表明：在低快拍的条件下,该方法可以提高对弱目标的检测能力,性能远好于近场MVDR（最小方差无畸变响应）算法,并且在存在干扰位置估计误差的情况下,依然可以对弱目标定位,体现了该方法的鲁棒性.

英文摘要：

Fast-moving strong interference sources in near-field would lower the performance of adaptive beamforming. Thus, a near-field null broadening technique was presented. A new covariance matrix was constructed to replace the original one, after near-field virtual interference sources was added to the array covariance matrix. Then, adaptive beamforming was used to broaden nulls in the near-field pattern. Unlike other far-field null broadening methods, the method needs pre-estimating initial values of interference sources. Simulation results show that when the number of snapshots is small, the method can enhance the detection of weak targets and takes on better performance than MVDR （minimum variance distortionless response） in near-field, and the method can still localize weak targets when there are position errors of interference sources, showing its robustness.