Stochastic Linearization of the Bearing in Adaptive Antenna Arrays with Coarse Space-Time Statistics

Abstract

We analyze the construction of a system for processing space-time signals in a radio system that takes into account technical limitations in the measurement of the bearing. A desired efficiency can be achieved by using simplified processing procedures with stochastic controlled bearing interpolation. For implementation, we use processing based on truncated (low-element) managed apertures of antenna arrays and coarse (“binary”) robust signal statistics. We propose an alternative approach that involves applying the Monte Carlo method with feedback in the process of digital processing: we implement randomization and incremental stochastic control for the phase center position by sequentially activating a small number of elements during the accumulation and averaging of rough samples of the input signal. We also present quantitative results of reducing instrumental errors in bearing measurement.