在高动态环境中,由于干扰来向在短时间内的剧烈变化,利用接收数据协方差矩阵的常规卫星导航干扰抑制算法失效。为了解决快拍数据不足的问题,该文提出一种仅利用少快拍数据的卫星导航高动态干扰抑制算法。首先,通过利用干扰信号空间谱的稀疏特性,仅用少数快拍甚至一个快拍来估计干扰来向;然后,利用估计的干扰来向构造干扰子空间,并通过正交子空间投影算法抑制干扰。仿真实验验证了该算法的有效性。
In high dynamic environment, the conventional interference suppression algorithms based on covariance matrix are ineffective because of the dramatic change of interference Direction Of Arrival (DOA) in consecutive snapshots. In this paper, a high dynamic interference suppression algorithm with few snapshots for satellite navigation system is proposed to solve the problem of snapshot deficiency. By utilizing the sparse property of spatial spectrum, the DOAs of interferences are estimated by using few snapshots, even only one snapshot. Then the interference subspace is formed based on the estimated DOAs, and orthogonal subspace projection algorithm is used to suppress interference. Simulations demonstrate the effectiveness of the proposed algorithm.