一种基于分块下三角分解的子空间GNSS抗干扰方法

摘要

通过SVD获得子空间的方法,适合于多变环境和较少数据样本情况,但计算量很大,限制了该方法的实时应用.在不降低性能的条件下,将SVD弱化为分块下三角分解,减少了提取子空间的复杂度,并给出基于Givens旋转的实现结构,具有结构简单,便于并行实现的优点.将该方法应用于GNSS抗干扰仿真实验,验证了其有效性.%Subspace obtained by SVD is fit for complex interference and few sample, but computation of this method is large. A new subspace projection approach was proposed. It relaxed the requirement of the diagonal matrix in SVD to block lower triangular matrix and reduced the computation while the anti-jammer perfornce was not affected. The block lower triangular matrix can be computed by Givens rotation.Givens rotation has modular structures and is suitable for parallel computation. Based on the characters of GNSS signal,noise and jammers, it is applied to interference suppression in GNSS receiver. The numerical simulation demonstrates that the performance is effective.