Adaptive Multidimensional Wiener Filtering Algorithms

摘要

Adaptive multidimensional filtering algorithms that estimate the signal received in the presence of noise are proposed. These algorithms use the minimum rms error criterion and an unclassified sample from large array antennas. Their possible implementations are considered, which are based on filters with the pulse response finite in the time and space domains and error-free calculation methods.