Space-time antijamming problem has received significant concern recently in global navigation satellite. Space-time null widening technique is an effective technique to suppress interference signals in the case of rapidly moving environments. However, the computational complexity of traditional null widening algorithms is usually so high that it is difficult to apply in engineering problems. In order to solve this problem, a novel null widening algorithm based on multistage wiener filter (named as MWF-NW algorithm) is proposed for reducing the computational complexity of space-time antijamming algorithms. By using the Hadamard product and Khtri-Rao product, the space-time covariance matrix taper problem can be transformed into a space-time data taper problem. Then, the dimension of the tapered data is reduced by multistage wiener filter theory, and the optimal weight vector is also given by multistage wiener filter theory. Thus the algorithm can reduce computational complexity significantly and suppress interference signals effectively when the receiver is shaking. Simulation results are presented to verify the feasibility and effectiveness of the proposed algorithm.
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