Direction Finding for Spread-Spectrum Systems with Adaptive Arrays

摘要

An adaptive array is used to find the direction to the source of a desired spread-spectrum signal despite the presence of multiple interference signals. Unlike other direction-finding algorithms, the two proposed adaptive-array algorithms require no information about the directions and characteristics of the interference signals to separate the desired signal from the interference signals. The desired-signal classification (DESIC) algorithm uses a different correlation matrix than the MUSIC algorithm to enable an unambiguous estimation of the desired-signal direction. The maximin direction-finding (MDF) algorithm combines the adaptive weight vector of an interference-suppression algorithm with an estimate of the interference correlation matrix. Simulation experiments show that the DESIC algorithm gives an excellent performance in a wide variety of scenarios. The MDF algorithm provides less accurate direction estimates but requires less computation.