We propose a method of ambisonic soundfield navigation based on optimized
directional decomposition that extracts ordered directional signals and estimates
signal path distances using a correlation matrix. The method allows for room-scale
soundfield navigation using a single ambisonic microphone signal. In comparison to
other source-based navigation approaches, our approach more accurately handles
differences between direct sources and reflections, which results in more plausible
behavior when translating in spaces with many observable reflection points.
Further, we show our method is efficient in computation and memory and integrates
easily with existing ambisonic binaural rendering solutions. We evaluate the
quality and accuracy of our translation method using synthetic signals convolved
using image-source-method generated B-format room impulse responses.