Comparing Approaches to Signal Classification and Direction Finding

This technical report compares the signal classification and direction finding (DF) approaches of Epiq and DeepSig with traditional digital signal processing (DSP) systems. It outlines the limitations of conventional DSP, such as the lengthy time required for signal classification and the need for extensive signal demodulation. In contrast, the report highlights the advantages of the new AI-enabled methods, which allow for rapid identification and processing of signals, significantly reducing the time needed for RF surveys. The document details how these modern approaches can classify signals with minimal data and provide valuable metadata, such as azimuth information. It also discusses the operational efficiencies gained by deploying these systems at the edge, emphasizing their adaptability and ease of integration into various platforms. The report concludes by noting the evolution of signal acquisition and processing technologies, driven by advancements in AI and edge computing.