Improving phaseless direction of arrival estimation exploiting space and frequency diversities

In this paper we present a method to improve phase-less Direction-of-Arrival estimation accuracy for indoor scenarios based on the combined use of Space and Frequency Division Multiple Access.This approach for DoA estimation of a nomadic node is the result of a likelihood criteria driven by the expected signal partition, enabled by the Space Division Multiple Access algorithm, applied over a range of frequencies. An experimental validation demonstrates the system performance in a real scenario. Despite a poor localization result at single frequency, with a maximum DoA error of 18.5, the weighted combination of five sample frequencies resolves in a maximum error of 5.5. The mean error is reduced as well, from 3.8 to 1.8°, demonstrating the effectiveness of the proposed approach